# Welcome to the Jungle Jobs Scraper (`khadinakbar/welcome-to-the-jungle-jobs-scraper`) Actor Extract structured public job postings from Welcome to the Jungle company and job pages for recruitment research and job-market analysis. - **URL**: https://apify.com/khadinakbar/welcome-to-the-jungle-jobs-scraper.md - **Developed by:** [Khadin Akbar](https://apify.com/khadinakbar) (community) - **Categories:** Jobs, MCP servers - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 welcome to the jungle job record scrapeds This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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/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 ## Welcome to the Jungle Jobs Scraper Extract structured public job postings from Welcome to the Jungle company job pages and individual public job URLs. It is designed for recruiters, talent-intelligence teams, job-market researchers, and AI agents that need reliable, machine-readable vacancy records. Use it when you know a company’s Welcome to the Jungle slug or have a public company/job URL. For example, enter `wttj` to collect current public Welcome to the Jungle vacancies. Do not use it for the personalised logged-in jobs feed, applications, candidate profiles, or job boards outside Welcome to the Jungle. ### Output Each dataset item is one validated public job posting. | Field | Description | | --- | --- | | `jobId`, `title`, `jobUrl` | Stable public vacancy identity, title, and direct page URL. | | `companyName`, `companySlug`, `companyUrl`, `companyLogoUrl`, `industry` | Public employer identity and metadata when the page exposes them. | | `location`, `countryCode`, `employmentType`, `workArrangement` | Public role location, contract, and remote/hybrid signal. | | `salaryText`, `salaryCurrency`, `salaryMin`, `salaryMax` | Exposed salary text and normalized range when available. | | `description`, `qualifications`, `skills` | Public job content converted to a flat agent-friendly shape. | | `postedAt`, `validThrough`, `sourceUrl`, `scrapedAt` | Posting freshness and collection provenance. | Fields that the public page does not expose are returned as `null`; the actor does not infer missing salary, location, or company data. ### Input The runnable default collects the current public jobs of the `wttj` company profile. ```json { "companySlugs": ["wttj"], "locale": "en", "maxResults": 10 } ```` You can also provide public company or job pages directly: ```json { "companySlugs": [], "startUrls": [ { "url": "https://www.welcometothejungle.com/en/companies/wttj/jobs" } ], "maxResults": 25 } ``` `companySlugs` accepts up to 50 simple public profile slugs. `startUrls` accepts only public `.../companies//jobs` or individual `.../companies//jobs/` URLs. `maxResults` is a strict cap of 1–100 and caps job-event charges. ### Pricing This actor uses Pay per event + usage. | Event | Price | Charged when | | --- | ---: | --- | | Actor start | $0.00005 | Once per GB of Actor memory after a valid run begins. | | Job record scraped | $0.005 | A complete validated public job record is persisted to the dataset. | Platform compute and residential proxy usage are additional under Apify’s Pay per event + usage model. The actor announces the maximum job-event cost for `maxResults` before collection starts. Invalid input, blocked pages, and rejected records are never billed as jobs. ### API and AI-agent use Use this when you need public Welcome to the Jungle vacancy data from known employer pages. It returns one record per job with the title, company, location, contract type, salary when available, skills, job description, posting date, and source URL. It does not access the personalised matching feed or applicant data. ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: process.env.APIFY_TOKEN }); const run = await client.actor('khadinakbar/welcome-to-the-jungle-jobs-scraper').call({ companySlugs: ['wttj'], locale: 'en', maxResults: 10, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` The actor writes a compact `OUTPUT` record and a detailed `RUN_SUMMARY` record on every terminal path. Valid no-result pages return `VALID_EMPTY`; all blocked/failed public routes return an honest `UPSTREAM_FAILED`; useful partial records return `PARTIAL`. ### Limits and responsible use Welcome to the Jungle can change public markup, structured data, access controls, and availability. The actor uses a session-consistent residential browser, retries, and challenge detection. It intentionally supports only public company/job pages because the general jobs experience currently requires a signed-in personalised profile. Use public data in accordance with Welcome to the Jungle’s terms, applicable privacy and employment law, and your organisation’s data-governance rules. Do not use this actor to collect private candidate information, bypass authentication, or make employment decisions without appropriate human review. # Actor input Schema ## `companySlugs` (type: `array`): Use this when you know the Welcome to the Jungle company slug and want every currently public job for that company. Enter slug values such as 'wttj' or 'back-market', without a URL. The default is 'wttj' and up to 50 companies are accepted. This is not a keyword search; use a public company or job URL for a specific known page. ## `startUrls` (type: `array`): Use this when you already have a public Welcome to the Jungle company-jobs or individual job URL. Enter URLs such as 'https://www.welcometothejungle.com/en/companies/wttj/jobs'. Leave this empty to use company slugs. This does not accept the logged-in jobs feed, application pages, or non-Welcome to the Jungle URLs. ## `locale` (type: `string`): Use this when resolving company slugs into a public Welcome to the Jungle jobs page. Choose 'en', 'fr', or 'en-GB'; for example 'en'. The default is en and explicit job URLs retain their own locale. This is not a location, country, or language-detection setting for job content. ## `maxResults` (type: `integer`): Use this when you need a hard cap for returned records and Pay per event charges. Enter an integer from 1 to 100, for example 25. The default is 10 and the actor reports the maximum job-event cost before extraction begins. This is not a company-page count and does not permit more than 100 persisted rows. ## Actor input object example ```json { "companySlugs": [ "wttj", "back-market" ], "startUrls": [ { "url": "https://www.welcometothejungle.com/en/companies/wttj/jobs" } ], "locale": "en", "maxResults": 25 } ``` # Actor output Schema ## `jobs` (type: `string`): Validated public Welcome to the Jungle job records in the default dataset. ## `output` (type: `string`): Compact terminal outcome, persisted item count, event charges, and safe warnings. ## `summary` (type: `string`): Detailed terminal diagnostics including page counts, record failures, billing, and safe errors. # 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 = { "companySlugs": [ "wttj" ], "startUrls": [], "locale": "en", "maxResults": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("khadinakbar/welcome-to-the-jungle-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 = { "companySlugs": ["wttj"], "startUrls": [], "locale": "en", "maxResults": 10, } # Run the Actor and wait for it to finish run = client.actor("khadinakbar/welcome-to-the-jungle-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 '{ "companySlugs": [ "wttj" ], "startUrls": [], "locale": "en", "maxResults": 10 }' | apify call khadinakbar/welcome-to-the-jungle-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=khadinakbar/welcome-to-the-jungle-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Welcome to the Jungle Jobs Scraper", "description": "Extract structured public job postings from Welcome to the Jungle company and job pages for recruitment research and job-market analysis.", "version": "1.5", "x-build-id": "MUKGGYSsiL6iiBMkS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/khadinakbar~welcome-to-the-jungle-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-khadinakbar-welcome-to-the-jungle-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/khadinakbar~welcome-to-the-jungle-jobs-scraper/runs": { "post": { "operationId": "runs-sync-khadinakbar-welcome-to-the-jungle-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/khadinakbar~welcome-to-the-jungle-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-khadinakbar-welcome-to-the-jungle-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "companySlugs": { "title": "Company slugs", "type": "array", "description": "Use this when you know the Welcome to the Jungle company slug and want every currently public job for that company. Enter slug values such as 'wttj' or 'back-market', without a URL. The default is 'wttj' and up to 50 companies are accepted. This is not a keyword search; use a public company or job URL for a specific known page.", "items": { "type": "string" }, "default": [ "wttj" ] }, "startUrls": { "title": "Public company or job URLs", "type": "array", "description": "Use this when you already have a public Welcome to the Jungle company-jobs or individual job URL. Enter URLs such as 'https://www.welcometothejungle.com/en/companies/wttj/jobs'. Leave this empty to use company slugs. This does not accept the logged-in jobs feed, application pages, or non-Welcome to the Jungle URLs.", "items": { "type": "object", "properties": { "url": { "title": "Public Welcome to the Jungle URL", "type": "string", "description": "A public company jobs page or a direct public job page on Welcome to the Jungle. For example, use 'https://www.welcometothejungle.com/en/companies/wttj/jobs'. This must be an HTTPS URL on www.welcometothejungle.com. It is not an application or logged-in matching URL." } }, "required": [ "url" ] }, "default": [] }, "locale": { "title": "Company-page locale", "enum": [ "en", "fr", "en-GB" ], "type": "string", "description": "Use this when resolving company slugs into a public Welcome to the Jungle jobs page. Choose 'en', 'fr', or 'en-GB'; for example 'en'. The default is en and explicit job URLs retain their own locale. This is not a location, country, or language-detection setting for job content.", "default": "en" }, "maxResults": { "title": "Maximum job records", "minimum": 1, "maximum": 100, "type": "integer", "description": "Use this when you need a hard cap for returned records and Pay per event charges. Enter an integer from 1 to 100, for example 25. The default is 10 and the actor reports the maximum job-event cost before extraction begins. This is not a company-page count and does not permit more than 100 persisted rows.", "default": 10 } } }, "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 } } } } } } } } } } ```