From 5f9af0dd21a5a565e26be702b55564efe1f825ef Mon Sep 17 00:00:00 2001 From: Vlada Dusek Date: Wed, 3 Jun 2026 19:57:14 +0200 Subject: [PATCH] feat: Add python-uv template Add a Python Actor template managed by the uv package manager - pyproject.toml with a committed uv.lock, a uv-based Dockerfile, and the same single-page scraper functionality as python-start for easy comparison. The template tests now dispatch on uv.lock and install dependencies with uv for uv-based templates. --- .github/workflows/test_python_templates.yaml | 6 + templates/manifest.json | 19 + templates/python-uv/.actor/actor.json | 19 + .../python-uv/.actor/dataset_schema.json | 26 + templates/python-uv/.actor/input_schema.json | 16 + templates/python-uv/.actor/output_schema.json | 12 + templates/python-uv/.dockerignore | 39 + templates/python-uv/.gitignore | 39 + templates/python-uv/.python-version | 1 + templates/python-uv/AGENTS.md | 686 ++++++++++++++ templates/python-uv/CLAUDE.md | 1 + templates/python-uv/Dockerfile | 38 + templates/python-uv/README.md | 63 ++ templates/python-uv/my_actor/__init__.py | 0 templates/python-uv/my_actor/__main__.py | 6 + templates/python-uv/my_actor/main.py | 54 ++ templates/python-uv/my_actor/py.typed | 0 templates/python-uv/pyproject.toml | 23 + templates/python-uv/uv.lock | 852 ++++++++++++++++++ test/templates.test.js | 34 + 20 files changed, 1934 insertions(+) create mode 100644 templates/python-uv/.actor/actor.json create mode 100644 templates/python-uv/.actor/dataset_schema.json create mode 100644 templates/python-uv/.actor/input_schema.json create mode 100644 templates/python-uv/.actor/output_schema.json create mode 100644 templates/python-uv/.dockerignore create mode 100644 templates/python-uv/.gitignore create mode 100644 templates/python-uv/.python-version create mode 100644 templates/python-uv/AGENTS.md create mode 100644 templates/python-uv/CLAUDE.md create mode 100644 templates/python-uv/Dockerfile create mode 100644 templates/python-uv/README.md create mode 100644 templates/python-uv/my_actor/__init__.py create mode 100644 templates/python-uv/my_actor/__main__.py create mode 100644 templates/python-uv/my_actor/main.py create mode 100644 templates/python-uv/my_actor/py.typed create mode 100644 templates/python-uv/pyproject.toml create mode 100644 templates/python-uv/uv.lock diff --git a/.github/workflows/test_python_templates.yaml b/.github/workflows/test_python_templates.yaml index 4402a345f..ad6a6af87 100644 --- a/.github/workflows/test_python_templates.yaml +++ b/.github/workflows/test_python_templates.yaml @@ -37,6 +37,12 @@ jobs: with: python-version: ${{ matrix.python-version }} + # Used by the uv-based templates (e.g. python-uv). uv installs the Python version + # pinned in the template's .python-version file on its own, so it intentionally + # does not get the matrix Python version passed in. + - name: Setup uv + uses: astral-sh/setup-uv@v8.1.0 + - name: Install Chrome and Chromedriver # Use pnpm dlx instead of npx — npx is the npm CLI and trips # devEngines.packageManager=pnpm at the repo root. diff --git a/templates/manifest.json b/templates/manifest.json index 54f017e3a..5ff57d639 100644 --- a/templates/manifest.json +++ b/templates/manifest.json @@ -65,6 +65,25 @@ "showcaseFiles": ["my_actor/main.py", "my_actor/__main__.py"], "useCases": ["STARTER", "WEB_SCRAPING"] }, + { + "id": "python-uv", + "name": "python-uv", + "label": "One‑Page HTML Scraper with uv", + "category": "python", + "technologies": ["uv", "beautifulsoup", "httpx"], + "description": "Scrape single page with provided URL with HTTPX and extract data from page's HTML with Beautiful Soup. The project and its dependencies are managed by the uv package manager.", + "messages": { + "postCreate": "To install the dependencies, run \"uv sync\" in the Actor directory. It creates a virtual environment in the \".venv\" folder and installs the locked dependencies from \"uv.lock\". To install additional Python packages, use \"uv add \"." + }, + "archiveUrl": "https://github.com/apify/actor-templates/blob/master/dist/templates/python-uv.zip?raw=true", + "defaultRunOptions": { + "build": "latest", + "memoryMbytes": 1024, + "timeoutSecs": 3600 + }, + "showcaseFiles": ["my_actor/main.py", "pyproject.toml", "my_actor/__main__.py"], + "useCases": ["STARTER", "WEB_SCRAPING"] + }, { "id": "python-beautifulsoup", "name": "python-beautifulsoup", diff --git a/templates/python-uv/.actor/actor.json b/templates/python-uv/.actor/actor.json new file mode 100644 index 000000000..8d40ecef3 --- /dev/null +++ b/templates/python-uv/.actor/actor.json @@ -0,0 +1,19 @@ +{ + "$schema": "https://apify.com/schemas/v1/actor.ide.json", + "actorSpecification": 1, + "name": "python-uv", + "title": "Scrape single page in Python with uv", + "description": "Scrape data from single page with provided URL, with project and dependencies managed by uv.", + "version": "0.0", + "buildTag": "latest", + "meta": { + "templateId": "python-uv", + "generatedBy": "" + }, + "input": "./input_schema.json", + "output": "./output_schema.json", + "storages": { + "dataset": "./dataset_schema.json" + }, + "dockerfile": "../Dockerfile" +} diff --git a/templates/python-uv/.actor/dataset_schema.json b/templates/python-uv/.actor/dataset_schema.json new file mode 100644 index 000000000..4ab99990c --- /dev/null +++ b/templates/python-uv/.actor/dataset_schema.json @@ -0,0 +1,26 @@ +{ + "$schema": "https://apify.com/schemas/v1/dataset.ide.json", + "actorSpecification": 1, + "fields": {}, + "views": { + "overview": { + "title": "Overview", + "transformation": { + "fields": ["level", "text"] + }, + "display": { + "component": "table", + "properties": { + "level": { + "label": "Level", + "format": "text" + }, + "text": { + "label": "Text", + "format": "text" + } + } + } + } + } +} diff --git a/templates/python-uv/.actor/input_schema.json b/templates/python-uv/.actor/input_schema.json new file mode 100644 index 000000000..892d3c4b5 --- /dev/null +++ b/templates/python-uv/.actor/input_schema.json @@ -0,0 +1,16 @@ +{ + "$schema": "https://apify.com/schemas/v1/input.ide.json", + "title": "Scrape data from a web page", + "type": "object", + "schemaVersion": 1, + "properties": { + "url": { + "title": "URL of the page", + "type": "string", + "description": "The URL of website you want to get the data from.", + "editor": "textfield", + "prefill": "https://www.apify.com/" + } + }, + "required": ["url"] +} diff --git a/templates/python-uv/.actor/output_schema.json b/templates/python-uv/.actor/output_schema.json new file mode 100644 index 000000000..5d3010d86 --- /dev/null +++ b/templates/python-uv/.actor/output_schema.json @@ -0,0 +1,12 @@ +{ + "$schema": "https://apify.com/schemas/v1/output.ide.json", + "actorOutputSchemaVersion": 1, + "title": "Output schema", + "properties": { + "results": { + "type": "string", + "title": "Results", + "template": "{{links.apiDefaultDatasetUrl}}/items" + } + } +} diff --git a/templates/python-uv/.dockerignore b/templates/python-uv/.dockerignore new file mode 100644 index 000000000..296f4df55 --- /dev/null +++ b/templates/python-uv/.dockerignore @@ -0,0 +1,39 @@ +# Git metadata - not needed inside the image +.git + +# Apify storage folder +storage/ + +# Python virtual environment - recreated by `uv sync` during the Docker build +.venv/ +.env/ + +# Python (and Python tools) cache files +__pycache__/ +*.py[cod] +*$py.class +.mypy_cache/ +.pytest_cache/ +.ruff_cache/ +.ty_cache/ + +# Python build files +__pypackages__/ +build/ +dist/ +*.egg-info/ +*.egg + +# Environment variables +.env + +# Log files +*.log + +# Editor / OS noise +.idea/ +.vscode +.zed +.DS_Store +.mise.toml +.nvim.lua diff --git a/templates/python-uv/.gitignore b/templates/python-uv/.gitignore new file mode 100644 index 000000000..aa50999a3 --- /dev/null +++ b/templates/python-uv/.gitignore @@ -0,0 +1,39 @@ +# Apify storage folder +storage/ + +# Python virtual environment - recreated by `uv sync` +.venv/ +.env/ + +# Python (and Python tools) cache files +__pycache__/ +*.py[cod] +*$py.class +.mypy_cache/ +.pytest_cache/ +.ruff_cache/ +.ty_cache/ + +# Python build files +__pypackages__/ +build/ +dist/ +*.egg-info/ +*.egg + +# Environment variables +.env + +# Log files +*.log + +# Editor / OS noise +.idea/ +.vscode +.zed +.DS_Store +.mise.toml +.nvim.lua + +# Note: .python-version and uv.lock are intentionally committed - uv uses them +# to provide the same Python version and dependencies on every machine. diff --git a/templates/python-uv/.python-version b/templates/python-uv/.python-version new file mode 100644 index 000000000..6324d401a --- /dev/null +++ b/templates/python-uv/.python-version @@ -0,0 +1 @@ +3.14 diff --git a/templates/python-uv/AGENTS.md b/templates/python-uv/AGENTS.md new file mode 100644 index 000000000..1797ae695 --- /dev/null +++ b/templates/python-uv/AGENTS.md @@ -0,0 +1,686 @@ +# Apify Actors Development Guide + +Important: Before you begin, fill in the `generatedBy` property in the meta section of `.actor/actor.json`. Replace it with the tool and model you're currently using, such as "Claude Code with Claude Sonnet 4.5". This helps Apify monitor and improve AGENTS.md for specific AI tools and models. + +## What are Apify Actors? + +- Actors are serverless programs that run in the cloud. They're inspired by the UNIX philosophy - programs that do one thing well and can be easily combined to build complex systems. +- Actors are programs packaged as Docker images that run in isolated containers + +## Core Concepts + +- Accept well-defined JSON input +- Perform isolated tasks (web scraping, automation, data processing) +- Produce structured JSON output to datasets and/or store data in key-value stores +- Can run from seconds to hours or even indefinitely +- Persist state and can be restarted + +## Do + +- accept well-defined JSON input and produce structured JSON output +- use Apify SDK (`apify`) for code running ON Apify platform +- validate input early with proper error handling and fail gracefully +- use CheerioCrawler for static HTML content (10x faster than browsers) +- use PlaywrightCrawler only for JavaScript-heavy sites and dynamic content +- use router pattern (createCheerioRouter/createPlaywrightRouter) for complex crawls +- implement retry strategies with exponential backoff for failed requests +- use proper concurrency settings (HTTP: 10-50, Browser: 1-5) +- set sensible defaults in `.actor/input_schema.json` for all optional fields +- set up output schema in `.actor/output_schema.json` +- clean and validate data before pushing to dataset +- use semantic CSS selectors and fallback strategies for missing elements +- respect robots.txt, ToS, and implement rate limiting with delays +- check which tools (cheerio/playwright/crawlee) are installed before applying guidance +- use `Actor.log` for logging (censors sensitive data) +- implement readiness probe handler for standby Actors +- handle the `aborting` event to gracefully shut down when Actor is stopped + +## Don't + +- do not rely on `Dataset.getInfo()` for final counts on Cloud platform +- do not use browser crawlers when HTTP/Cheerio works (massive performance gains with HTTP) +- do not hard code values that should be in input schema or environment variables +- do not skip input validation or error handling +- do not overload servers - use appropriate concurrency and delays +- do not scrape prohibited content or ignore Terms of Service +- do not store personal/sensitive data unless explicitly permitted +- do not use deprecated options like `requestHandlerTimeoutMillis` on CheerioCrawler (v3.x) +- do not use `additionalHttpHeaders` - use `preNavigationHooks` instead +- do not assume that local storage is persistent or automatically synced to Apify Console - when running locally with `apify run`, the `storage/` directory is local-only and is NOT pushed to the Cloud +- do not disable standby mode (`usesStandbyMode: false`) without explicit permission + +## Logging + +- **ALWAYS use `Actor.log` for logging** - This logger contains critical security logic including censoring sensitive data (Apify tokens, API keys, credentials) to prevent accidental exposure in logs + +### Available Log Levels + +The Apify Actor logger provides the following methods for logging: + +- `Actor.log.debug()` - Debug level logs (detailed diagnostic information) +- `Actor.log.info()` - Info level logs (general informational messages) +- `Actor.log.warning()` - Warning level logs (warning messages for potentially problematic situations) +- `Actor.log.error()` - Error level logs (error messages for failures) +- `Actor.log.exception()` - Exception level logs (for exceptions with stack traces) + +**Best practices:** + +- Use `Actor.log.debug()` for detailed operation-level diagnostics (inside functions) +- Use `Actor.log.info()` for general informational messages (API requests, successful operations) +- Use `Actor.log.warning()` for potentially problematic situations (validation failures, unexpected states) +- Use `Actor.log.error()` for actual errors and failures +- Use `Actor.log.exception()` for caught exceptions with stack traces + +## Graceful Abort Handling + +Handle the `aborting` event to terminate the Actor quickly when stopped by user or platform, minimizing costs especially for PPU/PPE+U billing. + +```python +import asyncio + +async def on_aborting() -> None: + # Persist any state, do any cleanup you need, and terminate the Actor using `await Actor.exit()` explicitly as soon as possible + # This will help ensure that the Actor is doing best effort to honor any potential limits on costs of a single run set by the user + # Wait 1 second to allow Crawlee/SDK state persistence operations to complete + # This is a temporary workaround until SDK implements proper state persistence in the aborting event + await asyncio.sleep(1) + await Actor.exit() + +Actor.on('aborting', on_aborting) +``` + +## Standby Mode + +- **NEVER disable standby mode (`usesStandbyMode: false`) in `.actor/actor.json` without explicit permission** - Actor Standby mode solves this problem by letting you have the Actor ready in the background, waiting for the incoming HTTP requests. In a sense, the Actor behaves like a real-time web server or standard API server instead of running the logic once to process everything in batch. Always keep `usesStandbyMode: true` unless there is a specific documented reason to disable it +- **ALWAYS implement readiness probe handler for standby Actors** - Handle the `x-apify-container-server-readiness-probe` header at GET / endpoint to ensure proper Actor lifecycle management + +You can recognize a standby Actor by checking the `usesStandbyMode` property in `.actor/actor.json`. Only implement the readiness probe if this property is set to `true`. + +### Readiness Probe Implementation Example + +```python +# Apify standby readiness probe +from http.server import SimpleHTTPRequestHandler + +class GetHandler(SimpleHTTPRequestHandler): + def do_GET(self): + # Handle Apify standby readiness probe + if 'x-apify-container-server-readiness-probe' in self.headers: + self.send_response(200) + self.end_headers() + self.wfile.write(b'Readiness probe OK') + return + + self.send_response(200) + self.end_headers() + self.wfile.write(b'Actor is ready') +``` + +Key points: + +- Detect the `x-apify-container-server-readiness-probe` header in incoming requests +- Respond with HTTP 200 status code for both readiness probe and normal requests +- This enables proper Actor lifecycle management in standby mode + +## Commands + +```bash +# Bootstrap & local development +apify create [name] # Create new Actor project from a template +apify init # Initialize Actor in current directory +apify run # Run Actor locally with simulated platform env +apify run --purge # Run after clearing previous local storage +apify validate-schema # Validate .actor/input_schema.json + +# Authentication & account +apify login # Authenticate account (token stored in ~/.apify) +apify logout # Remove stored credentials +apify info # Print currently authenticated account info + +# Deployment & remote execution +apify push # Deploy Actor to platform per .actor/actor.json +apify pull # Download Actor code from the platform +apify call # Execute Actor remotely on the platform +apify actors build # Create a new build of an Actor +apify runs ls # List recent runs + +# Discovery (search Apify Store for community Actors) +apify actors search "" --user-agent +apify actors info # Get details about a specific Actor + +# Secrets (referenced from actor.json via "@mySecret") +apify secrets add # Store a secret locally; uploaded on push +apify secrets ls # List stored secret keys + +# Direct API access +apify api # Send an authenticated HTTP request to Apify API + +# Help +apify help # List all commands +apify --help # Get help for a specific command +``` + +Note: If no dedicated Actor exists for your target, search Apify Store for community options with `apify actors search "" --user-agent ` before building from scratch. + +Tip: Inside a running Actor, prefer the SDK (`Actor.get_input()`, `Actor.push_data()`, `Actor.set_value()`) over the equivalent `apify actor` runtime subcommands. + +## Apify Platform Environment + +When the Actor runs on the Apify platform, the API token is automatically available via the `APIFY_TOKEN` environment variable (note: the variable is `APIFY_TOKEN`, not `APIFY_API_TOKEN`). The Apify SDK reads it automatically, so you do not need to pass it explicitly. Locally, run `apify login` once and the SDK will use your stored credentials. + +## Safety and Permissions + +Allowed without prompt: + +- read files with `Actor.get_value()` +- push data with `Actor.push_data()` +- set values with `Actor.set_value()` +- enqueue requests to RequestQueue +- run locally with `apify run` + +Ask first: + +- npm/pip package installations +- apify push (deployment to cloud) +- proxy configuration changes (requires paid plan) +- Dockerfile changes affecting builds +- deleting datasets or key-value stores + +## Project Structure + +.actor/ +├── actor.json # Actor config: name, version, env vars, runtime settings +├── input_schema.json # Input validation & Console form definition +└── output_schema.json # Specifies where an Actor stores its output +src/ +└── main.js # Actor entry point and orchestrator +storage/ # Local-only storage for development (NOT synced to Cloud) +├── datasets/ # Output items (JSON objects) +├── key_value_stores/ # Files, config, INPUT +└── request_queues/ # Pending crawl requests +Dockerfile # Container image definition +AGENTS.md # AI agent instructions (this file) + +## Local vs Cloud Storage + +When running locally with `apify run`, the Apify SDK emulates Cloud storage APIs using the local `storage/` directory. This local storage behaves differently from Cloud storage: + +- **Local storage is NOT persistent** - The `storage/` directory is meant for local development and testing only. Data stored there (datasets, key-value stores, request queues) exists only on your local disk. +- **Local storage is NOT automatically pushed to Apify Console** - Running `apify run` does not upload any storage data to the Apify platform. The data stays local. +- **Each local run may overwrite previous data** - The local `storage/` directory is reused between runs, but this is local-only behavior, not Cloud persistence. +- **Cloud storage only works when running on Apify platform** - After deploying with `apify push` and running the Actor in the Cloud, storage calls (`Actor.push_data()`, `Actor.set_value()`, etc.) interact with real Apify Cloud storage, which is then visible in the Apify Console. +- **To verify Actor output, deploy and run in Cloud** - Do not rely on local `storage/` contents as proof that data will appear in the Apify Console. Always test by deploying (`apify push`) and running the Actor on the platform. + +## Actor Input Schema + +The input schema defines the input parameters for an Actor. It's a JSON object comprising various field types supported by the Apify platform. + +### Structure + +```json +{ + "title": "", + "type": "object", + "schemaVersion": 1, + "properties": { + /* define input fields here */ + }, + "required": [] +} +``` + +### Example + +```json +{ + "title": "E-commerce Product Scraper Input", + "type": "object", + "schemaVersion": 1, + "properties": { + "startUrls": { + "title": "Start URLs", + "type": "array", + "description": "URLs to start scraping from (category pages or product pages)", + "editor": "requestListSources", + "default": [{ "url": "https://example.com/category" }], + "prefill": [{ "url": "https://example.com/category" }] + }, + "followVariants": { + "title": "Follow Product Variants", + "type": "boolean", + "description": "Whether to scrape product variants (different colors, sizes)", + "default": true + }, + "maxRequestsPerCrawl": { + "title": "Max Requests per Crawl", + "type": "integer", + "description": "Maximum number of pages to scrape (0 = unlimited)", + "default": 1000, + "minimum": 0 + }, + "proxyConfiguration": { + "title": "Proxy Configuration", + "type": "object", + "description": "Proxy settings for anti-bot protection", + "editor": "proxy", + "default": { "useApifyProxy": false } + }, + "locale": { + "title": "Locale", + "type": "string", + "description": "Language/country code for localized content", + "default": "cs", + "enum": ["cs", "en", "de", "sk"], + "enumTitles": ["Czech", "English", "German", "Slovak"] + } + }, + "required": ["startUrls"] +} +``` + +## Actor Output Schema + +The Actor output schema builds upon the schemas for the dataset and key-value store. It specifies where an Actor stores its output and defines templates for accessing that output. Apify Console uses these output definitions to display run results. + +### Structure + +```json +{ + "actorOutputSchemaVersion": 1, + "title": "", + "properties": { + /* define your outputs here */ + } +} +``` + +### Example + +```json +{ + "actorOutputSchemaVersion": 1, + "title": "Output schema of the files scraper", + "properties": { + "files": { + "type": "string", + "title": "Files", + "template": "{{links.apiDefaultKeyValueStoreUrl}}/keys" + }, + "dataset": { + "type": "string", + "title": "Dataset", + "template": "{{links.apiDefaultDatasetUrl}}/items" + } + } +} +``` + +### Output Schema Template Variables + +- `links` (object) - Contains quick links to most commonly used URLs +- `links.publicRunUrl` (string) - Public run url in format `https://console.apify.com/view/runs/:runId` +- `links.consoleRunUrl` (string) - Console run url in format `https://console.apify.com/actors/runs/:runId` +- `links.apiRunUrl` (string) - API run url in format `https://api.apify.com/v2/actor-runs/:runId` +- `links.apiDefaultDatasetUrl` (string) - API url of default dataset in format `https://api.apify.com/v2/datasets/:defaultDatasetId` +- `links.apiDefaultKeyValueStoreUrl` (string) - API url of default key-value store in format `https://api.apify.com/v2/key-value-stores/:defaultKeyValueStoreId` +- `links.containerRunUrl` (string) - URL of a webserver running inside the run in format `https://.runs.apify.net/` +- `run` (object) - Contains information about the run same as it is returned from the `GET Run` API endpoint +- `run.defaultDatasetId` (string) - ID of the default dataset +- `run.defaultKeyValueStoreId` (string) - ID of the default key-value store + +## Dataset Schema Specification + +The dataset schema defines how your Actor's output data is structured, transformed, and displayed in the Output tab in the Apify Console. + +### Example + +Consider an example Actor that calls `Actor.pushData()` to store data into dataset: + +```python +# Dataset push example (Python) +import asyncio +from datetime import datetime +from apify import Actor + +async def main(): + await Actor.init() + + # Actor code + await Actor.push_data({ + 'numericField': 10, + 'pictureUrl': 'https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_92x30dp.png', + 'linkUrl': 'https://google.com', + 'textField': 'Google', + 'booleanField': True, + 'dateField': datetime.now().isoformat(), + 'arrayField': ['#hello', '#world'], + 'objectField': {}, + }) + + # Exit successfully + await Actor.exit() + +if __name__ == '__main__': + asyncio.run(main()) +``` + +To set up the Actor's output tab UI, reference a dataset schema file in `.actor/actor.json`: + +```json +{ + "actorSpecification": 1, + "name": "book-library-scraper", + "title": "Book Library Scraper", + "version": "1.0.0", + "storages": { + "dataset": "./dataset_schema.json" + } +} +``` + +Then create the dataset schema in `.actor/dataset_schema.json`: + +```json +{ + "actorSpecification": 1, + "fields": {}, + "views": { + "overview": { + "title": "Overview", + "transformation": { + "fields": [ + "pictureUrl", + "linkUrl", + "textField", + "booleanField", + "arrayField", + "objectField", + "dateField", + "numericField" + ] + }, + "display": { + "component": "table", + "properties": { + "pictureUrl": { + "label": "Image", + "format": "image" + }, + "linkUrl": { + "label": "Link", + "format": "link" + }, + "textField": { + "label": "Text", + "format": "text" + }, + "booleanField": { + "label": "Boolean", + "format": "boolean" + }, + "arrayField": { + "label": "Array", + "format": "array" + }, + "objectField": { + "label": "Object", + "format": "object" + }, + "dateField": { + "label": "Date", + "format": "date" + }, + "numericField": { + "label": "Number", + "format": "number" + } + } + } + } + } +} +``` + +### Structure + +```json +{ + "actorSpecification": 1, + "fields": {}, + "views": { + "": { + "title": "string (required)", + "description": "string (optional)", + "transformation": { + "fields": ["string (required)"], + "unwind": ["string (optional)"], + "flatten": ["string (optional)"], + "omit": ["string (optional)"], + "limit": "integer (optional)", + "desc": "boolean (optional)" + }, + "display": { + "component": "table (required)", + "properties": { + "": { + "label": "string (optional)", + "format": "text|number|date|link|boolean|image|array|object (optional)" + } + } + } + } + } +} +``` + +**Dataset Schema Properties:** + +- `actorSpecification` (integer, required) - Specifies the version of dataset schema structure document (currently only version 1) +- `fields` (JSONSchema object, required) - Schema of one dataset object (use JsonSchema Draft 2020-12 or compatible) +- `views` (DatasetView object, required) - Object with API and UI views description + +**DatasetView Properties:** + +- `title` (string, required) - Visible in UI Output tab and API +- `description` (string, optional) - Only available in API response +- `transformation` (ViewTransformation object, required) - Data transformation applied when loading from Dataset API +- `display` (ViewDisplay object, required) - Output tab UI visualization definition + +**ViewTransformation Properties:** + +- `fields` (string[], required) - Fields to present in output (order matches column order) +- `unwind` (string[], optional) - Deconstructs nested children into parent object +- `flatten` (string[], optional) - Transforms nested object into flat structure +- `omit` (string[], optional) - Removes specified fields from output +- `limit` (integer, optional) - Maximum number of results (default: all) +- `desc` (boolean, optional) - Sort order (true = newest first) + +**ViewDisplay Properties:** + +- `component` (string, required) - Only `table` is available +- `properties` (Object, optional) - Keys matching `transformation.fields` with ViewDisplayProperty values + +**ViewDisplayProperty Properties:** + +- `label` (string, optional) - Table column header +- `format` (string, optional) - One of: `text`, `number`, `date`, `link`, `boolean`, `image`, `array`, `object` + +## Key-Value Store Schema Specification + +The key-value store schema organizes keys into logical groups called collections for easier data management. + +### Example + +Consider an example Actor that calls `Actor.setValue()` to save records into the key-value store: + +```python +# Key-Value Store set example (Python) +import asyncio +from apify import Actor + +async def main(): + await Actor.init() + + # Actor code + await Actor.set_value('document-1', 'my text data', content_type='text/plain') + + image_id = '123' # example placeholder + image_buffer = b'...' # bytes buffer with image data + await Actor.set_value(f'image-{image_id}', image_buffer, content_type='image/jpeg') + + # Exit successfully + await Actor.exit() + +if __name__ == '__main__': + asyncio.run(main()) +``` + +To configure the key-value store schema, reference a schema file in `.actor/actor.json`: + +```json +{ + "actorSpecification": 1, + "name": "data-collector", + "title": "Data Collector", + "version": "1.0.0", + "storages": { + "keyValueStore": "./key_value_store_schema.json" + } +} +``` + +Then create the key-value store schema in `.actor/key_value_store_schema.json`: + +```json +{ + "actorKeyValueStoreSchemaVersion": 1, + "title": "Key-Value Store Schema", + "collections": { + "documents": { + "title": "Documents", + "description": "Text documents stored by the Actor", + "keyPrefix": "document-" + }, + "images": { + "title": "Images", + "description": "Images stored by the Actor", + "keyPrefix": "image-", + "contentTypes": ["image/jpeg"] + } + } +} +``` + +### Structure + +```json +{ + "actorKeyValueStoreSchemaVersion": 1, + "title": "string (required)", + "description": "string (optional)", + "collections": { + "": { + "title": "string (required)", + "description": "string (optional)", + "key": "string (conditional - use key OR keyPrefix)", + "keyPrefix": "string (conditional - use key OR keyPrefix)", + "contentTypes": ["string (optional)"], + "jsonSchema": "object (optional)" + } + } +} +``` + +**Key-Value Store Schema Properties:** + +- `actorKeyValueStoreSchemaVersion` (integer, required) - Version of key-value store schema structure document (currently only version 1) +- `title` (string, required) - Title of the schema +- `description` (string, optional) - Description of the schema +- `collections` (Object, required) - Object where each key is a collection ID and value is a Collection object + +**Collection Properties:** + +- `title` (string, required) - Collection title shown in UI tabs +- `description` (string, optional) - Description appearing in UI tooltips +- `key` (string, conditional\*) - Single specific key for this collection +- `keyPrefix` (string, conditional\*) - Prefix for keys included in this collection +- `contentTypes` (string[], optional) - Allowed content types for validation +- `jsonSchema` (object, optional) - JSON Schema Draft 07 format for `application/json` content type validation + +\*Either `key` or `keyPrefix` must be specified for each collection, but not both. + +## Actor README + +**Always generate a README.md file as part of Actor development.** The README is the Actor's public landing page on Apify Store - it serves as SEO, first impression, documentation, and support page combined. + +### Required: Generate README automatically + +When building an Actor, always create a `README.md` in the project root. Do not wait for the user to ask for it. The README is a critical part of a complete Actor. + +### README structure + +Write in Markdown. Use H2 (`##`) for main sections (these become the table of contents) and H3 (`###`) for subsections. Do not use H1 - the Actor name is automatically the H1. Aim for at least 300 words. + +Include these sections in order: + +1. **What does [Actor name] do?** - 2-3 sentences explaining what it does, what data it extracts, and how to try it. Link to the target website. Mention Apify platform advantages (API access, scheduling, integrations, proxy rotation, monitoring). +2. **Why use [Actor name]?** - Business use cases and benefits. +3. **How to use [Actor name]** - Numbered step-by-step tutorial. Keep it simple and reassuring. +4. **Input** - Describe input fields. Reference the Input tab. Optionally include a screenshot or JSON example of the input schema. +5. **Output** - Show a simplified JSON output example. Mention "You can download the dataset in various formats such as JSON, HTML, CSV, or Excel." +6. **Data table** - If the Actor extracts data, include a table of the main data fields it outputs. +7. **Pricing / Cost estimation** - Set expectations on cost. Mention free tier limits if applicable. Frame as "How much does it cost to scrape [target site]?" +8. **Tips or Advanced options** - How to optimize runs, limit compute units, improve speed or accuracy. +9. **FAQ, disclaimers, and support** - Legality disclaimer for scrapers, known limitations, link to Issues tab for feedback, mention custom solution availability. + +### README best practices + +- Write SEO-friendly headings with relevant keywords (e.g., "How to scrape [site] data" not just "Tutorial") +- Bold the most important words in the intro +- The first 25% of the README matters most - front-load the value proposition +- Match the tone to the target audience: simple language for no-code users, technical details for developers +- Include a JSON output example showing 1-2 representative items +- Reference these top Actors for README best practices: https://apify.com/apify/instagram-scraper and https://apify.com/compass/crawler-google-places +- Embed YouTube video URLs on their own line (Apify Console auto-renders them) +- Use HTML for image sizing if needed; CSS is not supported + +## MCP Tools + +### Apify MCP + +If the Apify MCP server is configured, use these tools for documentation: + +- `search-apify-docs` - Search documentation +- `fetch-apify-docs` - Get full doc pages + +Otherwise, reference: `@https://mcp.apify.com/` + +### Playwright MCP (debugging) + +The Playwright MCP server is a useful tool for debugging Actors that interact with the web - it lets the agent drive a real browser to inspect pages, capture selectors, and reproduce issues. + +Install with the Claude Code CLI: + +```bash +claude mcp add playwright npx @playwright/mcp@latest +``` + +Or add it manually to your MCP config: + +```json +{ + "mcpServers": { + "playwright": { + "command": "npx", + "args": ["@playwright/mcp@latest"] + } + } +} +``` + +## Resources + +- [docs.apify.com/llms.txt](https://docs.apify.com/llms.txt) - Quick reference +- [docs.apify.com/llms-full.txt](https://docs.apify.com/llms-full.txt) - Complete docs +- [crawlee.dev](https://crawlee.dev) - Crawlee documentation +- [whitepaper.actor](https://raw.githubusercontent.com/apify/actor-whitepaper/refs/heads/master/README.md) - Complete Actor specification diff --git a/templates/python-uv/CLAUDE.md b/templates/python-uv/CLAUDE.md new file mode 100644 index 000000000..43c994c2d --- /dev/null +++ b/templates/python-uv/CLAUDE.md @@ -0,0 +1 @@ +@AGENTS.md diff --git a/templates/python-uv/Dockerfile b/templates/python-uv/Dockerfile new file mode 100644 index 000000000..8e0d13a2d --- /dev/null +++ b/templates/python-uv/Dockerfile @@ -0,0 +1,38 @@ +# syntax=docker/dockerfile:1 +# First, specify the base Docker image. +# You can see the Docker images from Apify at https://hub.docker.com/r/apify/. +# You can also use any other image from Docker Hub. +FROM apify/actor-python:3.14 + +# Add the uv binary from its official distroless image (pinned to the 0.11.x line). +COPY --from=ghcr.io/astral-sh/uv:0.11 /uv /uvx /bin/ + +# Configure uv for container builds: +# - compile installed packages to bytecode, so the Actor starts faster, +# - copy packages instead of hardlinking, which avoids warnings with the cache mount, +# - never download a managed Python, always reuse the base image's interpreter, +# - put the project virtual environment first on PATH, so `python` resolves to it. +ENV UV_COMPILE_BYTECODE=1 \ + UV_LINK_MODE=copy \ + UV_PYTHON_DOWNLOADS=0 \ + PATH="/usr/src/app/.venv/bin:$PATH" + +# Install dependencies into the project virtual environment (.venv) as a separate +# layer. The cache mount speeds up repeated builds, and the bind mounts make the +# project metadata available without copying it into the image. This layer is +# rebuilt only when uv.lock or pyproject.toml change - not on source code edits. +RUN --mount=type=cache,target=/root/.cache/uv \ + --mount=type=bind,source=uv.lock,target=uv.lock \ + --mount=type=bind,source=pyproject.toml,target=pyproject.toml \ + uv sync --locked --no-dev + +# Next, copy the remaining files and directories with the source code. +# Since we do this after installing the dependencies, quick build will be really fast +# for most source file changes. +COPY . ./ + +# Use compileall to ensure the runnability of the Actor Python code. +RUN python -m compileall -q my_actor/ + +# Specify how to launch the source code of your Actor. +CMD ["python", "-m", "my_actor"] diff --git a/templates/python-uv/README.md b/templates/python-uv/README.md new file mode 100644 index 000000000..4fb38ddac --- /dev/null +++ b/templates/python-uv/README.md @@ -0,0 +1,63 @@ +## Python uv template + + + +A template for [web scraping](https://apify.com/web-scraping) data from a single web page in Python, with the project and its dependencies managed by [uv](https://docs.astral.sh/uv/) - an extremely fast Python package and project manager. The URL of the web page is passed in via input, which is defined by the [input schema](https://docs.apify.com/platform/actors/development/input-schema). The template uses [HTTPX](https://www.python-httpx.org) to get the HTML of the page and [Beautiful Soup](https://www.crummy.com/software/BeautifulSoup/bs4/doc/) to parse the data from it. The data are then stored in a [dataset](https://docs.apify.com/sdk/python/docs/concepts/storages#working-with-datasets) where you can easily access them. + +The scraped data in this template are page headings, but you can easily edit the code to scrape whatever you want from the page. + +## Included features + +- **[uv](https://docs.astral.sh/uv/)** - a single fast tool that manages the project's Python version (`.python-version`), virtual environment (`.venv`), and dependencies (`pyproject.toml` + `uv.lock`) +- **Reproducible builds** - the `uv.lock` lockfile guarantees that the Actor's Docker image is built with exactly the dependency versions you developed against +- **[Apify SDK](https://docs.apify.com/sdk/python/)** for Python - a toolkit for building Apify [Actors](https://apify.com/actors) and scrapers in Python +- **[Input schema](https://docs.apify.com/platform/actors/development/input-schema)** - define and easily validate a schema for your Actor's input +- **[Dataset](https://docs.apify.com/sdk/python/docs/concepts/storages#working-with-datasets)** - store structured data where each object stored has the same attributes +- **[HTTPX](https://www.python-httpx.org)** - library for making asynchronous HTTP requests in Python +- **[Beautiful Soup](https://www.crummy.com/software/BeautifulSoup/bs4/doc/)** - library for pulling data out of HTML and XML files + +## How it works + +1. `Actor.get_input()` gets the input where the page URL is defined +2. `httpx.AsyncClient().get(url)` fetches the page +3. `BeautifulSoup(response.content, 'lxml')` loads the page data and enables parsing the headings +4. This parses the headings from the page and here you can edit the code to parse whatever you need from the page + ```python + for heading in soup.find_all(["h1", "h2", "h3", "h4", "h5", "h6"]): + ``` +5. `Actor.push_data(headings)` stores the headings in the dataset + +## Working with uv + +Install [uv](https://docs.astral.sh/uv/getting-started/installation/) first, then use it for everyday project management: + +```bash +# Install the dependencies into the .venv virtual environment. uv also downloads +# the pinned Python version from .python-version if it's not installed yet. +uv sync + +# Run the Actor locally (the Apify CLI automatically uses the .venv environment). +apify run + +# Add or remove a dependency (updates pyproject.toml and uv.lock). +uv add +uv remove + +# Upgrade all dependencies to the latest versions allowed by pyproject.toml. +uv lock --upgrade && uv sync +``` + +The Actor's `Dockerfile` installs the dependencies with `uv sync --locked --no-dev`, so the image is built with exactly the versions recorded in `uv.lock`, skipping the development-only dependencies. Commit `uv.lock` and `.python-version` whenever they change. + +## Resources + +- [Apify SDK for Python: uv guide](https://docs.apify.com/sdk/python/docs/guides/uv) +- [uv: Official documentation](https://docs.astral.sh/uv/) +- [BeautifulSoup Scraper](https://apify.com/apify/beautifulsoup-scraper) +- [Python tutorials in Academy](https://docs.apify.com/academy/python) +- [Web scraping with Beautiful Soup and Requests](https://blog.apify.com/web-scraping-with-beautiful-soup/) +- [Integration with Make, GitHub, Zapier, Google Drive, and other apps](https://apify.com/integrations) +- [Video guide on getting scraped data using Apify API](https://www.youtube.com/watch?v=ViYYDHSBAKM) +- A short guide on how to build web scrapers using code templates: + +[web scraper template](https://www.youtube.com/watch?v=u-i-Korzf8w) diff --git a/templates/python-uv/my_actor/__init__.py b/templates/python-uv/my_actor/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/templates/python-uv/my_actor/__main__.py b/templates/python-uv/my_actor/__main__.py new file mode 100644 index 000000000..8c4ab0b86 --- /dev/null +++ b/templates/python-uv/my_actor/__main__.py @@ -0,0 +1,6 @@ +import asyncio + +from .main import main + +if __name__ == '__main__': + asyncio.run(main()) diff --git a/templates/python-uv/my_actor/main.py b/templates/python-uv/my_actor/main.py new file mode 100644 index 000000000..57fe47344 --- /dev/null +++ b/templates/python-uv/my_actor/main.py @@ -0,0 +1,54 @@ +"""Module defines the main entry point for the Apify Actor. + +Feel free to modify this file to suit your specific needs. + +To build Apify Actors, utilize the Apify SDK toolkit, read more at the official documentation: +https://docs.apify.com/sdk/python +""" + +from __future__ import annotations + +# Beautiful Soup - A library for pulling data out of HTML and XML files. Read more at: +# https://www.crummy.com/software/BeautifulSoup/bs4/doc +# Apify SDK - A toolkit for building Apify Actors. Read more at: +# https://docs.apify.com/sdk/python +from apify import Actor +from bs4 import BeautifulSoup + +# HTTPX - A library for making asynchronous HTTP requests in Python. Read more at: +# https://www.python-httpx.org/ +from httpx import AsyncClient + + +async def main() -> None: + """Define a main entry point for the Apify Actor. + + This coroutine is executed using `asyncio.run()`, so it must remain an asynchronous function for proper execution. + Asynchronous execution is required for communication with Apify platform, and it also enhances performance in + the field of web scraping significantly. + """ + async with Actor: + # Retrieve the input object for the Actor. The structure of input is defined in input_schema.json. + actor_input = await Actor.get_input() or {'url': 'https://apify.com/'} + url = actor_input.get('url') + if not url: + raise ValueError('Missing "url" attribute in input!') + + # Create an asynchronous HTTPX client for making HTTP requests. + async with AsyncClient() as client: + # Fetch the HTML content of the page, following redirects if necessary. + Actor.log.info(f'Sending a request to {url}') + response = await client.get(url, follow_redirects=True) + + # Parse the HTML content using Beautiful Soup and lxml parser. + soup = BeautifulSoup(response.content, 'lxml') + + # Extract all headings from the page (tag name and text). + headings = [] + for heading in soup.find_all(['h1', 'h2', 'h3', 'h4', 'h5', 'h6']): + heading_object = {'level': heading.name, 'text': heading.text} + Actor.log.info(f'Extracted heading: {heading_object}') + headings.append(heading_object) + + # Save the extracted headings to the dataset, which is a table-like storage. + await Actor.push_data(headings) diff --git a/templates/python-uv/my_actor/py.typed b/templates/python-uv/my_actor/py.typed new file mode 100644 index 000000000..e69de29bb diff --git a/templates/python-uv/pyproject.toml b/templates/python-uv/pyproject.toml new file mode 100644 index 000000000..8bb2b05e5 --- /dev/null +++ b/templates/python-uv/pyproject.toml @@ -0,0 +1,23 @@ +[project] +name = "my-actor" +version = "0.1.0" +description = "An Apify Actor with dependencies managed by uv." +requires-python = ">=3.14" +dependencies = [ + "apify>=3.0.0,<4.0.0", + "beautifulsoup4[lxml]>=4.0.0,<5.0.0", + "httpx>=0.28.0,<1.0.0", +] + +[dependency-groups] +# Development-only dependencies. 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checkSpawnResult(uvSyncSpawnResult); + + const uvPipShowApifySpawnResult = spawnSync('uv', ['pip', 'show', 'apify']); + checkSpawnResult(uvPipShowApifySpawnResult); + + // If playwright is used in the template, we have to do a post-install step + const uvPipShowPlaywrightSpawnResult = spawnSync('uv', ['pip', 'show', 'playwright']); + if (uvPipShowPlaywrightSpawnResult.status === 0) { + const playwrightInstallSpawnResult = spawnSync('uv', ['run', 'playwright', 'install']); + checkSpawnResult(playwrightInstallSpawnResult); + } + + const installedApifySdkVersion = uvPipShowApifySpawnResult.stdout + .toString() + .match(/Version: (.*)/)[1] + .trim(); + expect(installedApifySdkVersion).toEqual(APIFY_SDK_PYTHON_LATEST_VERSION); +}; + const checkPythonTemplate = () => { + if (fs.existsSync('uv.lock')) { + checkUvPythonTemplate(); + return; + } + expect(fs.existsSync('requirements.txt')).toBe(true); spawnSync(PYTHON_COMMAND, ['-m', 'venv', '.venv']);