# France Travail Jobs Scraper (`moving_beacon-owner1/france-travail-jobs-scraper`) Actor Extracts JobPosting data from France Travail public search results by keyword, without requiring an API key. Returns flattened job details including `title`, `company`, `location`, `employmentType`, `salary`, `datePosted`, `validThrough`, `url`, `description`, `sourcePage`, and `searchKeyword`. - **URL**: https://apify.com/moving\_beacon-owner1/france-travail-jobs-scraper.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** Automation, Travel, Developer tools - **Stats:** 2 total users, 1 monthly users, 88.9% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.99 / 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 ## France Travail Jobs Scraper Extracts JobPosting JSON-LD from candidat.francetravail.fr search results — French job offers by keyword and location, no partner API key needed. ### Input example ```json { "keywords": ["python", "devops"], "maxItems": 100 } ```` ### Output record Standard schema.org JobPosting fields flattened: `title`, `company`, `location`, `employmentType`, `salary`, `datePosted`, `validThrough`, `url`, `description`, `sourcePage`, `searchKeyword`. ### Notes - Each keyword search page embeds ~20 JobPosting entities; results beyond that are loaded via authenticated AJAX, so run several related keywords to build volume. - If zero items come back, switch the proxy group to RESIDENTIAL — the site sometimes serves a consent wall to datacenter IPs. - The official France Travail API requires a partner key; this actor scrapes the public HTML instead (best-effort). # Actor input Schema ## `keywords` (type: `array`): One search is run per keyword, e.g. 'python', 'data engineer', 'comptable'. Ignored when Start URLs are provided. ## `startUrls` (type: `array`): Full France Travail search URLs, e.g. https://candidat.francetravail.fr/offres/recherche?motsCles=python\&lieux=75D — use this for location or contract filters built in the site's UI. ## `maxItems` (type: `integer`): Stop after this many job offers have been scraped in total. ## `maxPages` (type: `integer`): How many result pages (range=0-19, 20-39, …) to fetch per search URL. Extra pages are only fetched while the item budget is not met. ## `proxyConfiguration` (type: `object`): France Travail sits behind DataDome — French residential proxies (RESIDENTIAL group, country FR) are strongly recommended. ## `impersonate` (type: `string`): curl\_cffi browser profile used for the TLS/JA3 fingerprint. On each retry the profile is rotated automatically. ## `requestDelaySecs` (type: `string`): Politeness pause between consecutive page fetches. ## `timeoutSecs` (type: `integer`): Per-request timeout. ## `maxRetries` (type: `integer`): Retries with rotated TLS fingerprint + proxy on blocks (403/429, DataDome challenge pages) and transient errors. ## `debugLog` (type: `boolean`): Enable verbose logging. ## Actor input object example ```json { "keywords": [ "python" ], "maxItems": 100, "maxPages": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "FR" }, "impersonate": "chrome", "requestDelaySecs": "0.5", "timeoutSecs": 20, "maxRetries": 3, "debugLog": 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 = { "keywords": [ "python" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "FR" } }; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/france-travail-jobs-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 = { "keywords": ["python"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "FR", }, } # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/france-travail-jobs-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 '{ "keywords": [ "python" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "FR" } }' | apify call moving_beacon-owner1/france-travail-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/france-travail-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "France Travail Jobs Scraper", "description": "Extracts JobPosting data from France Travail public search results by keyword, without requiring an API key. Returns flattened job details including `title`, `company`, `location`, `employmentType`, `salary`, `datePosted`, `validThrough`, `url`, `description`, `sourcePage`, and `searchKeyword`.", "version": "0.0", "x-build-id": "5cRGgxWJixTMUJeap" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~france-travail-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-france-travail-jobs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~france-travail-jobs-scraper/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-france-travail-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~france-travail-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-france-travail-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "keywords": { "title": "Search keywords", "type": "array", "description": "One search is run per keyword, e.g. 'python', 'data engineer', 'comptable'. Ignored when Start URLs are provided.", "items": { "type": "string" } }, "startUrls": { "title": "Start URLs (optional, overrides keywords)", "type": "array", "description": "Full France Travail search URLs, e.g. https://candidat.francetravail.fr/offres/recherche?motsCles=python&lieux=75D — use this for location or contract filters built in the site's UI.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max jobs", "minimum": 1, "type": "integer", "description": "Stop after this many job offers have been scraped in total.", "default": 100 }, "maxPages": { "title": "Max pages per search", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many result pages (range=0-19, 20-39, …) to fetch per search URL. Extra pages are only fetched while the item budget is not met.", "default": 5 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "France Travail sits behind DataDome — French residential proxies (RESIDENTIAL group, country FR) are strongly recommended." }, "impersonate": { "title": "TLS impersonation profile", "enum": [ "chrome", "chrome131", "safari18_0", "edge", "firefox133" ], "type": "string", "description": "curl_cffi browser profile used for the TLS/JA3 fingerprint. On each retry the profile is rotated automatically.", "default": "chrome" }, "requestDelaySecs": { "title": "Delay between requests (seconds)", "type": "string", "description": "Politeness pause between consecutive page fetches.", "default": "0.5" }, "timeoutSecs": { "title": "HTTP timeout (seconds)", "minimum": 5, "maximum": 120, "type": "integer", "description": "Per-request timeout.", "default": 20 }, "maxRetries": { "title": "Max retries per request", "minimum": 0, "maximum": 10, "type": "integer", "description": "Retries with rotated TLS fingerprint + proxy on blocks (403/429, DataDome challenge pages) and transient errors.", "default": 3 }, "debugLog": { "title": "Debug logging", "type": "boolean", "description": "Enable verbose logging.", "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 } } } } } } } } } } ```