# France Travail Jobs Scraper (`blackfalcondata/francetravail-scraper`) Actor Scrape francetravail.fr — France's official national job board. Salary ranges, skills, and contact data from 700 k+ listings. - **URL**: https://apify.com/blackfalcondata/francetravail-scraper.md - **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 ### What does France Travail Jobs Scraper do? France Travail Jobs Scraper extracts structured job data from [francetravail.fr](https://francetravail.fr) — including salary data, contact details, company metadata, full descriptions, location data, and skill tags. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions, company metadata, and contact information) where the source provides them, incremental monitoring that only returns new or changed results on recurring runs, and a compact output mode for AI-agent and MCP workflows. ### What data can you extract from francetravail.fr? Each result includes Core listing fields (`jobId`, `title`, `locationRaw`, `department`, `city`, `region`, `postalCode`, and `contractType`, and more), detail fields when enrichment is enabled (`description`), contact and apply information (`contactPhone` and `contactEmail`), and company metadata (`company`). In standard mode, all fields are always present — unavailable data points are returned as `null`, never omitted. In compact mode, only core fields are returned. Enable detail enrichment in the input to get richer fields such as full descriptions, company metadata, and contact information where the source provides them. ### Input The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema. Key parameters: - **`query`** — Job title, skills, or keywords to search for. - **`location`** — Department code (e.g. 75D for Paris), city name, or region. - **`contractType`** — Filter by contract type. (default: `""`) - **`maxResults`** — Maximum number of job listings to return (0 = unlimited). (default: `25`) - **`includeDetails`** — Fetch detail page for each listing to get salary, skills, contact info, and full description. Slower but significantly richer data. (default: `true`) - **`descriptionMaxLength`** — Truncate job description to N characters. 0 = no truncation. (default: `0`) - **`compact`** — Return core fields only — ideal for AI agents and MCP workflows. (default: `false`) - **`incrementalMode`** — Only output new or changed listings compared to the previous run. (default: `false`) - **`stateKey`** — Unique key to identify this tracked search universe (required when incrementalMode is true). #### Input example ```json { "query": "développeur", "contractType": "", "maxResults": 10, "includeDetails": true, "descriptionMaxLength": 0, "compact": false, "incrementalMode": false } ```` ### Output Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console. #### Example job record ```json { "jobId": "206JPDC", "title": "Développeur Python Expert en Supervision Réseau (H/F)", "company": "SEGMENT ELITE", "locationRaw": "75 - PARIS", "department": "75", "city": "Paris", "region": "Île-de-France", "postalCode": "75009", "contractType": "CDI", "workTime": "Temps plein", "weeklyHours": "35H/semaine", "workSchedule": null, "salaryMin": 45000, "salaryMax": 65000, "salaryCurrency": "EUR", "salaryPeriod": "YEAR", "salaryText": "Salaire brut : Annuel de 45000.0 Euros à 65000.0 Euros sur 12.0 mois", "skills": null, "softSkills": null, "experience": null, "education": null, "qualification": "Employé qualifié", "industry": "Conseil en systèmes et logiciels informatiques", "contactPhone": "0175430658", "contactEmail": null, "description": "Nouvelle Opportunité - Développeur Python Expert en Supervision Réseau\nLocalisation: IDF\n\nDescription du Projet:\nDévelopper et faire évoluer un outil interne de supervision réseau. Concevoir et dévelo...", "snippet": "Nouvelle Opportunité - Développeur Python Expert en Supervision Réseau\nLocalisation: IDF\n\nDescription du Projet:\nDévelopper et faire évoluer un outil interne de supervision réseau. Concevoir et...", "postedDate": "2026-04-01", "validThrough": "2027-04-01", "url": "https://candidat.francetravail.fr/offres/recherche/detail/206JPDC", "portalUrl": "https://candidat.francetravail.fr/offres/recherche/detail/206JPDC", "source": "francetravail.fr", "scrapedAt": "2026-04-03T13:36:34.980Z", "changeType": null } ``` ### How to scrape francetravail.fr 1. Go to [France Travail Jobs Scraper](https://apify.com/blackfalcondata/francetravail-scraper) in Apify Console. 2. Enter a search keyword and optional location filter. 3. Set `maxResults` to control how many results you need. 4. Enable `includeDetails` if you need full descriptions, contact info, or company data. 5. Click **Start** and wait for the run to finish. 6. Export the dataset as JSON, CSV, or Excel. ### Use cases - Extract job data from francetravail.fr for market research and competitive analysis. - Track salary trends across regions and categories over time. - Monitor new and changed listings on scheduled runs without processing the full dataset every time. - Build outreach lists using contact details and apply URLs from listings. - Research company hiring patterns, employer profiles, and industry distribution. - Use structured location data for regional analysis, mapping, and geo-targeting. - Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode. - Export clean, structured data to dashboards, spreadsheets, or data warehouses. - Analyze skill demand across listings using structured skill tags. ### How much does it cost to scrape francetravail.fr? France Travail Jobs Scraper uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/pay-per-event) pricing. You pay a small fee when the run starts and then for each result that is actually produced. - **Run start:** $0.00005 per run - **Per result:** $0.0015 per job record Example costs: - 10 results: **$0.02** - 100 results: **$0.15** - 500 results: **$0.75** Incremental runs only charge for new or changed results, making recurring monitoring cost-efficient. ### FAQ #### How many results can I get from francetravail.fr? The number of results depends on the search query and available listings on francetravail.fr. Use the `maxResults` parameter to control how many results are returned per run. #### Does France Travail Jobs Scraper support recurring monitoring? Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset. #### Can I integrate France Travail Jobs Scraper with other apps? Yes. France Travail Jobs Scraper works with Apify's [integrations](https://apify.com/integrations) to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes. #### Can I use France Travail Jobs Scraper with the Apify API? Yes. You can start runs, manage inputs, and retrieve results programmatically through the [Apify API](https://docs.apify.com/api/v2). Client libraries are available for JavaScript, Python, and other languages. #### Can I use France Travail Jobs Scraper through an MCP Server? Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server) that lets AI assistants and agents call this actor directly. Use compact mode and `descriptionMaxLength` to keep payloads manageable for LLM context windows. #### Is it legal to scrape francetravail.fr? This actor extracts publicly available data from francetravail.fr. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant. #### Your feedback If you have questions, need a feature, or found a bug, please [open an issue](https://apify.com/blackfalcondata/francetravail-scraper/issues) on the actor's page in Apify Console. Your feedback helps us improve. ### You might also like - [Adzuna Job Scraper](https://apify.com/blackfalcondata/adzuna-scraper) — Scrape adzuna.com — the global job board with 20+ country markets. Structured salary. - [Arbeitsagentur Scraper](https://apify.com/blackfalcondata/arbeitsagentur-scraper) — Scrape arbeitsagentur.de — Germany's official employment portal with 1M+ listings. Contact data,. - [Bayt.com Scraper — Jobs from the Middle East](https://apify.com/blackfalcondata/bayt-scraper) — Scrape bayt.com — the leading Middle East job board. Salary data, experience requirements. - [Cadremploi Job Scraper](https://apify.com/blackfalcondata/cadremploi-scraper) — Scrape cadremploi.fr — French management and executive jobs. Salary ranges, apply links. - [Dice.com Job Scraper](https://apify.com/blackfalcondata/dice-com-job-scraper) — Scrape dice.com — the leading U.S. tech job board. Structured salary (min/max/currency),. - [Drushim Scraper - Israel Job Listings from drushim.co.il](https://apify.com/blackfalcondata/drushim-scraper) — Scrape drushim.co.il — Israel's leading job board. Salary data, geo-coordinates, and multi-filter. - [Duunitori Scraper](https://apify.com/blackfalcondata/duunitori-scraper) — Scrape duunitori.fi — Finland's largest job board with 22,000+ listings. Salary ranges, employment. - [Glassdoor Job Scraper](https://apify.com/blackfalcondata/glassdoor-job-scraper) — Scrape glassdoor.com across 21 markets. Salary data, employer ratings, and search filters for role. # Actor input Schema ## `query` (type: `string`): Job title, skills, or keywords to search for. ## `location` (type: `string`): Department code (e.g. 75D for Paris), city name, or region. ## `contractType` (type: `string`): Filter by contract type. ## `maxResults` (type: `integer`): Maximum number of job listings to return (0 = unlimited). ## `includeDetails` (type: `boolean`): Fetch detail page for each listing to get salary, skills, contact info, and full description. Slower but significantly richer data. ## `descriptionMaxLength` (type: `integer`): Truncate job description to N characters. 0 = no truncation. ## `compact` (type: `boolean`): Return core fields only — ideal for AI agents and MCP workflows. ## `incrementalMode` (type: `boolean`): Only output new or changed listings compared to the previous run. ## `stateKey` (type: `string`): Unique key to identify this tracked search universe (required when incrementalMode is true). ## Actor input object example ```json { "query": "développeur", "contractType": "", "maxResults": 10, "includeDetails": true, "descriptionMaxLength": 0, "compact": false, "incrementalMode": false } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "query": "développeur", "maxResults": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("blackfalcondata/francetravail-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 = { "query": "développeur", "maxResults": 10, } # Run the Actor and wait for it to finish run = client.actor("blackfalcondata/francetravail-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 '{ "query": "développeur", "maxResults": 10 }' | apify call blackfalcondata/francetravail-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=blackfalcondata/francetravail-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "France Travail Jobs Scraper", "description": "Scrape francetravail.fr — France's official national job board. Salary ranges, skills, and contact data from 700 k+ listings.", "version": "0.1", "x-build-id": "RMRZn98KQbkcdwXRl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blackfalcondata~francetravail-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blackfalcondata-francetravail-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/blackfalcondata~francetravail-scraper/runs": { "post": { "operationId": "runs-sync-blackfalcondata-francetravail-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/blackfalcondata~francetravail-scraper/run-sync": { "post": { "operationId": "run-sync-blackfalcondata-francetravail-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "properties": { "query": { "title": "Keywords", "type": "string", "description": "Job title, skills, or keywords to search for." }, "location": { "title": "Location", "type": "string", "description": "Department code (e.g. 75D for Paris), city name, or region." }, "contractType": { "title": "Contract Type", "enum": [ "", "CDI", "CDD", "MIS", "SAI", "LIB", "REP" ], "type": "string", "description": "Filter by contract type.", "default": "" }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Maximum number of job listings to return (0 = unlimited).", "default": 25 }, "includeDetails": { "title": "Include Full Details", "type": "boolean", "description": "Fetch detail page for each listing to get salary, skills, contact info, and full description. Slower but significantly richer data.", "default": true }, "descriptionMaxLength": { "title": "Description Max Length", "minimum": 0, "type": "integer", "description": "Truncate job description to N characters. 0 = no truncation.", "default": 0 }, "compact": { "title": "Compact Output", "type": "boolean", "description": "Return core fields only — ideal for AI agents and MCP workflows.", "default": false }, "incrementalMode": { "title": "Incremental Mode", "type": "boolean", "description": "Only output new or changed listings compared to the previous run.", "default": false }, "stateKey": { "title": "State Key", "type": "string", "description": "Unique key to identify this tracked search universe (required when incrementalMode is true)." } } }, "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 } } } } } } } } } } ```