# French Web Scraper - Residential IP, Bypass Blocks (`x402farm/french-residential-scraper`) Actor Scrape any French or geo-restricted website through a real French residential IP + headless Chrome. Bypass Cloudflare and datacenter/cloud-IP blocks that stop normal scrapers. Returns clean markdown, full HTML, screenshot, PDF, links or SEO meta. Pay per result. - **URL**: https://apify.com/x402farm/french-residential-scraper.md - **Developed by:** [Laurent Halbrun](https://apify.com/x402farm) (community) - **Categories:** AI, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 🇫🇷 French Residential Web Scraper Scrape **any URL through a real French residential IP** + a real headless Chrome browser. Reach pages that block AWS / GCP / Azure and other datacenter ranges, and geo-restricted French content — the same job Firecrawl and ScrapingBee charge much more for. Most scrapers run from cloud datacenters, so anti-bot systems flag them instantly. This one runs the browser behind a **French residential connection**, so target sites see the exact page a real visitor in France would see. ### ✨ What it does Give it a URL and pick an output `mode`: | `mode` | Returns | |--------|---------| | `extract` | Clean **Markdown** of the main content (JavaScript rendered) | | `render` | Full **HTML** after JavaScript execution | | `screenshot` | **PNG** image (optionally full-page) | | `pdf` | **A4 PDF** of the page | | `links` | Deduplicated **links** (internal / external + anchor text) | | `meta` | **SEO metadata**: title, description, OpenGraph, canonical, JSON-LD | ### 🎯 When to use it - Sites that **block or degrade datacenter IPs** (many FR e-commerce, media, public services) - **Geo-restricted French** content that only loads from a FR connection - Pages behind **JavaScript rendering** or light anti-bot protection - Turning any page into clean **Markdown for LLMs / RAG** ### 📥 Input ```json { "url": "https://www.service-public.fr", "mode": "extract" } ```` | Field | Type | Required | Description | |-------|------|----------|-------------| | `url` | string | ✅ | Page URL to fetch through the French residential IP | | `mode` | string | – | `extract` (default), `render`, `screenshot`, `pdf`, `links`, `meta` | | `fullPage` | boolean | – | Full-page screenshot (only for `screenshot` mode) | ### 📤 Output One dataset item per run: ```json { "url": "https://www.service-public.fr", "mode": "extract", "servedByResidentialIp": true, "result": { "title": "Accueil | Service Public", "markdown": "# Bienvenue sur le site officiel..." } } ``` For `screenshot` and `pdf`, the binary file is saved to the run's key-value store and referenced by `fileKey`. The `servedByResidentialIp` flag confirms the request went through the residential path. ### 💡 Tips - Start with `extract` for LLM-ready Markdown, switch to `render` if you need raw HTML. - Use `meta` for cheap link-preview / SEO checks before a full scrape. - One run = one page = one result. *** Built on a dedicated French residential node. Questions or a bulk use case? Reach out via the Apify profile. # Actor input Schema ## `url` (type: `string`): The page URL to fetch through a French residential IP. ## `mode` (type: `string`): What to return. ## `fullPage` (type: `boolean`): Only for screenshot mode. ## Actor input object example ```json { "url": "https://www.example.com", "mode": "extract", "fullPage": false } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "url": "https://www.example.com" }; // Run the Actor and wait for it to finish const run = await client.actor("x402farm/french-residential-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "url": "https://www.example.com" } # Run the Actor and wait for it to finish run = client.actor("x402farm/french-residential-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "url": "https://www.example.com" }' | apify call x402farm/french-residential-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=x402farm/french-residential-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "French Web Scraper - Residential IP, Bypass Blocks", "description": "Scrape any French or geo-restricted website through a real French residential IP + headless Chrome. Bypass Cloudflare and datacenter/cloud-IP blocks that stop normal scrapers. Returns clean markdown, full HTML, screenshot, PDF, links or SEO meta. Pay per result.", "version": "0.1", "x-build-id": "i6x5BBE46olPu2sbX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/x402farm~french-residential-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-x402farm-french-residential-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/x402farm~french-residential-scraper/runs": { "post": { "operationId": "runs-sync-x402farm-french-residential-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/x402farm~french-residential-scraper/run-sync": { "post": { "operationId": "run-sync-x402farm-french-residential-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "url" ], "properties": { "url": { "title": "URL", "type": "string", "description": "The page URL to fetch through a French residential IP." }, "mode": { "title": "Output", "enum": [ "extract", "render", "screenshot", "pdf", "links", "meta" ], "type": "string", "description": "What to return.", "default": "extract" }, "fullPage": { "title": "Full-page screenshot", "type": "boolean", "description": "Only for screenshot mode.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```