# Welcome to the Jungle Job Scraper (`nomad-dev/wttj-scraper`) Actor Get live job postings from Welcome to the Jungle (welcometothejungle.com) as structured data. Filter by keyword, country, remote policy and more. Strong coverage across France, Spain, Germany, Benelux and the wider EU. - **URL**: https://apify.com/nomad-dev/wttj-scraper.md - **Developed by:** [Nomad.Dev](https://apify.com/nomad-dev) (community) - **Categories:** Jobs - **Stats:** 2 total users, 0 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 Job Scraper Get live job postings from [Welcome to the Jungle](https://www.welcometothejungle.com) as clean, structured data — **no login, no account, no setup**. Welcome to the Jungle is one of Europe's largest job boards, with particularly strong coverage across France, Spain, Germany, Benelux, and the wider EU tech sector. ### Why use it - **Always current** — reflects the live index, updated continuously. - **EU-focused** — best-in-class coverage of France, Spain, Germany, Benelux, and neighbouring markets. - **Clean structured output** — ready for spreadsheets, databases, dashboards or job-matching pipelines. - **Remote-aware** — filter postings by remote policy (fully remote, hybrid, on-site). ### What you get One dataset item per posting: | Field | Description | |---|---| | `id` | Stable posting identifier | | `title` | Job title (in the original posting language) | | `company` | Hiring company name | | `location` | Office city and country, or "Remote" / "Hybrid" | | `url` | Direct link to the full posting on WTTJ | | `postedAt` | ISO 8601 UTC publication timestamp | | `snippet` | Plain-text excerpt from the job description (up to 400 chars) | | `salary` | Salary range when disclosed (e.g. `45,000-65,000 EUR annual`) | | `hasRemote` | `true` if any remote work is offered | | `remoteType` | `"full"`, `"partial"` (hybrid), or `null` | | `profession` | Profession / role category label | | `source` | Always `"wttj"` | ### Input | Field | Type | Default | Notes | |---|---|---|---| | `query` | string | _(empty)_ | Free-text search over titles and descriptions | | `countryCodes` | string | EU default set | Comma-separated ISO 3166-1 alpha-2 codes (e.g. `"ES,FR,DE"`) | | `includeRemote` | boolean | `true` | Include remote/hybrid postings regardless of country | | `indexLang` | enum | `"en"` | Taxonomy label language (`en`, `fr`, `es`, `de`, `nl`, `pt`, `it`) | | `maxItems` | integer | `50` | Maximum postings to return | The default country set when `countryCodes` is left blank: `ES, FR, DE, NL, BE, IE, PT, IT, SE, DK, FI, NO, AT, CH, PL, LU, EE`. #### Example: Spanish software engineering roles ```json { "query": "software engineer", "countryCodes": "ES", "includeRemote": true, "maxItems": 100 } ```` #### Example: All remote-friendly EU roles ```json { "query": "", "includeRemote": true, "maxItems": 200 } ``` ### Use cases - Job seekers tracking new European tech postings as they go live. - Recruitment and sourcing teams building talent pipelines in the EU market. - Job board aggregators, newsletters, and career services. - Labor-market researchers studying EU hiring trends, salary disclosure, and remote-work adoption. # 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-dev/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-dev/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-dev/wttj-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nomad-dev/wttj-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Welcome to the Jungle Job Scraper", "description": "Get live job postings from Welcome to the Jungle (welcometothejungle.com) as structured data. Filter by keyword, country, remote policy and more. Strong coverage across France, Spain, Germany, Benelux and the wider EU.", "version": "0.1", "x-build-id": "xxx5pyZEpCIejQ8v6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nomad-dev~wttj-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nomad-dev-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-dev~wttj-scraper/runs": { "post": { "operationId": "runs-sync-nomad-dev-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-dev~wttj-scraper/run-sync": { "post": { "operationId": "run-sync-nomad-dev-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 } } } } } } } } } } ```