# Welcome to the Jungle Jobs Scraper (WTTJ) (`nomad-jobs/wttj-scraper`) Actor Extract live vacancies from Welcome to the Jungle, the leading French/EU tech-and-culture job platform. Search by keyword; records include title, company, location, contract type and apply URL. Great for French-market job boards, recruiting and employer-brand research. - **URL**: https://apify.com/nomad-jobs/wttj-scraper.md - **Developed by:** [Nomad.Dev](https://apify.com/nomad-jobs) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Welcome to the Jungle Jobs Scraper (WTTJ) Scrape current openings from Welcome to the Jungle (welcometothejungle.com), France's leading tech job platform. ### What Welcome to the Jungle data does this scraper extract? Each result is one flat JSON record per job posting: | Field | Meaning | |---|---| | `title` | Job title as posted | | `company` | Hiring company / organisation | | `location` | Location / duty station (may include remote hints) | | `url` | Direct link to the posting | | `postedAt` | Posting date where the source provides it | | `salary` | Salary text where the source provides it | | `snippet` | Short description excerpt | | `id` | Stable source-side identifier | ### How to scrape Welcome to the Jungle with this Actor 1. Click **Try for free** / **Run** — no login to the target site, no cookies, no proxies to configure. 2. Adjust the input (keyword, filters, `maxItems`) or keep the defaults. 3. Run it and export the dataset as JSON, CSV or Excel, or read it over the [API](https://docs.apify.com/api/v2). Run it from your own code: ```python from apify_client import ApifyClient client = ApifyClient("") run = client.actor("nomad-jobs/wttj-scraper").call(run_input={"maxItems": 50}) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["title"], "—", item["company"], item["url"]) ```` Or a single HTTP call that runs the Actor and returns items in one response: ```bash curl -X POST \ "https://api.apify.com/v2/acts/nomad-jobs~wttj-scraper/run-sync-get-dataset-items?token=" \ -H "Content-Type: application/json" \ -d '{"maxItems": 50}' ``` ### Input | Field | Type | Default | Notes | |---|---|---|---| | `query` | string | `""` | Free-text search over job titles and descriptions (e.g. "software engineer", "product manager"). Leave… | | `countryCodes` | string | `""` | Comma-separated ISO 3166-1 alpha-2 country codes to filter postings by office location (e.g. "ES,FR,DE").… | | `includeRemote` | boolean | `true` | When enabled, postings flagged as fully remote or hybrid are included regardless of country. Disable to… | | `indexLang` | string | `"en"` | Language variant of the search index. Controls how taxonomy labels (sectors, professions) are rendered.… | | `maxItems` | integer | `50` | Maximum number of postings to return. The scraper fetches up to 2× this value from the index and stops… | | `cacheTtlSeconds` | integer | `1800` | Cache the upstream fetch in the key-value store for this many seconds; re-runs within the window skip the… | ### Output example ```json { "id": "wttj-88213", "title": "Product Designer", "company": "Alan", "location": "Paris, France (Hybrid)", "url": "https://www.welcometothejungle.com/en/companies/alan/jobs/product-designer", "postedAt": "2026-06-29", "snippet": "Alan is looking for a Product Designer..." } ``` ### Pricing Pay per event: **$0.05 per Actor start** and **$0.004 per job returned**. 100 jobs ≈ $0.45. No subscription, no rental — you pay only for what you fetch. ### Use cases - French/EU job boards and alert bots - Recruiting for the French tech market - Employer-brand and hiring-trend research - Contract-type analysis (CDI/CDD/freelance) ### FAQ **Is it legal to scrape Welcome to the Jungle?** This Actor reads only publicly available job postings — data any visitor can see without logging in. No personal data behind authentication is touched. Review the target site's terms and your local regulations for your specific use case. **Do I need an account on the target site?** No. Postings are fetched from public pages/APIs — no login, cookies or session tokens. **How fresh is the data?** Every run fetches live listings. Results are cached for `cacheTtlSeconds` (default 30 min, set 0 to always hit the source live). **How many jobs can I get?** `maxItems` caps the run (set 0 where supported for no cap). Most sources paginate from newest to oldest. **Something broken or missing?** Open an issue on the Actor's **Issues** tab — it is monitored and reliability fixes ship fast. ### Related Actors - [Web Developer Jobs Scraper — 10 Boards in One](https://apify.com/nomad-jobs/web-dev-bundle) - [AI & ML Engineer Jobs Scraper — 8 Boards in One](https://apify.com/nomad-jobs/ml-ai-dev-bundle) - [LinkedIn Jobs Scraper — No Login, No Cookies](https://apify.com/nomad-jobs/linkedin-scraper) # Actor input Schema ## `query` (type: `string`): Free-text search over job titles and descriptions (e.g. "software engineer", "product manager"). Leave empty to return all matching postings ranked by recency. ## `countryCodes` (type: `string`): Comma-separated ISO 3166-1 alpha-2 country codes to filter postings by office location (e.g. "ES,FR,DE"). Leave empty to use the default EU set: ES, FR, DE, NL, BE, IE, PT, IT, SE, DK, FI, NO, AT, CH, PL, LU, EE. ## `includeRemote` (type: `boolean`): When enabled, postings flagged as fully remote or hybrid are included regardless of country. Disable to restrict results to the specified country offices only. ## `indexLang` (type: `string`): Language variant of the search index. Controls how taxonomy labels (sectors, professions) are rendered. Job titles and descriptions are always preserved in their original language. ## `maxItems` (type: `integer`): Maximum number of postings to return. The scraper fetches up to 2× this value from the index and stops after delivering this many parsed results. ## `cacheTtlSeconds` (type: `integer`): Cache the upstream fetch in the key-value store for this many seconds; re-runs within the window skip the network call. Set 0 to disable. ## Actor input object example ```json { "query": "data engineer", "countryCodes": "ES,FR,DE", "includeRemote": true, "indexLang": "en", "maxItems": 50, "cacheTtlSeconds": 1800 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("nomad-jobs/wttj-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 = {} # Run the Actor and wait for it to finish run = client.actor("nomad-jobs/wttj-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 '{}' | apify call nomad-jobs/wttj-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nomad-jobs/wttj-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Welcome to the Jungle Jobs Scraper (WTTJ)", "description": "Extract live vacancies from Welcome to the Jungle, the leading French/EU tech-and-culture job platform. Search by keyword; records include title, company, location, contract type and apply URL. Great for French-market job boards, recruiting and employer-brand research.", "version": "0.1", "x-build-id": "SunZhXRFav0bJsCNv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nomad-jobs~wttj-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nomad-jobs-wttj-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nomad-jobs~wttj-scraper/runs": { "post": { "operationId": "runs-sync-nomad-jobs-wttj-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nomad-jobs~wttj-scraper/run-sync": { "post": { "operationId": "run-sync-nomad-jobs-wttj-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Search query", "type": "string", "description": "Free-text search over job titles and descriptions (e.g. \"software engineer\", \"product manager\"). Leave empty to return all matching postings ranked by recency." }, "countryCodes": { "title": "Country codes", "type": "string", "description": "Comma-separated ISO 3166-1 alpha-2 country codes to filter postings by office location (e.g. \"ES,FR,DE\"). Leave empty to use the default EU set: ES, FR, DE, NL, BE, IE, PT, IT, SE, DK, FI, NO, AT, CH, PL, LU, EE." }, "includeRemote": { "title": "Include remote postings", "type": "boolean", "description": "When enabled, postings flagged as fully remote or hybrid are included regardless of country. Disable to restrict results to the specified country offices only.", "default": true }, "indexLang": { "title": "Index language", "enum": [ "en", "fr", "es", "de", "nl", "pt", "it" ], "type": "string", "description": "Language variant of the search index. Controls how taxonomy labels (sectors, professions) are rendered. Job titles and descriptions are always preserved in their original language.", "default": "en" }, "maxItems": { "title": "Max items", "minimum": 1, "type": "integer", "description": "Maximum number of postings to return. The scraper fetches up to 2× this value from the index and stops after delivering this many parsed results.", "default": 50 }, "cacheTtlSeconds": { "title": "Cache TTL (seconds)", "minimum": 0, "type": "integer", "description": "Cache the upstream fetch in the key-value store for this many seconds; re-runs within the window skip the network call. Set 0 to disable.", "default": 1800 } } }, "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 } } } } } } } } } } ```