Welcome to the Jungle Jobs Scraper

Export public Welcome to the Jungle job listings for recruiting, job-market research, alerts, and data pipelines. Search by job title or paste public WTTJ jobs search URLs, then receive normalized job, company, location, salary, description, skill, and timestamp data.

Example input

{
  "queries": ["data engineer", "product manager"],
  "maxItems": 50,
  "includeDetails": true
}

Example output

{
  "id": "e1992980-687a-4213-9b26-94ecaf558e44",
  "slug": "data-engineer-data-architect-confirme-e",
  "title": "Data Engineer & Data Architect",
  "companyName": "JAKALA",
  "contractType": "full_time",
  "remote": "partial",
  "publishedAt": "2026-08-26T08:31:21Z",
  "detailStatus": "complete"
}

Who is it for?

• Recruiters and talent teams building candidate-market and hiring-demand reports.
• Job seekers monitoring newly published roles across focused searches.
• Analysts comparing locations, remote policies, contracts, salaries, and skills.
• Data teams feeding normalized public job records into warehouses, alerts, and dashboards.

Input settings

At least one query or search URL is required.

Input recipes

Small recruiting export

{ "queries": ["frontend developer"], "maxItems": 10, "includeDetails": true }

Fast listing monitor

{ "queries": ["pharmacist"], "maxItems": 100, "includeDetails": false }

Limits and tips

• Results reflect public listings available when the run starts.
• Live ranking can shift between pages; stable IDs are deduplicated automatically.
• Some salary, company, and application fields are optional on the source posting.
• Use focused search terms and a modest maxItems for faster first runs.
• This Actor does not access saved jobs, member data, applications, or login-only content.

API usage

cURL

curl -X POST "https://api.apify.com/v2/acts/fetch_cat~welcome-to-the-jungle-jobs-api-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries":["data engineer"],"maxItems":10}'

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/welcome-to-the-jungle-jobs-api-scraper').call({
  queries: ['data engineer'], maxItems: 10, includeDetails: true,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('fetch_cat/welcome-to-the-jungle-jobs-api-scraper').call(
    run_input={'queries': ['data engineer'], 'maxItems': 10, 'includeDetails': True}
)
items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)

MCP and agents

Connect through https://mcp.apify.com?tools=fetch_cat/welcome-to-the-jungle-jobs-api-scraper to let compatible agents run structured job searches.

claude mcp add apify --transport http \
  "https://mcp.apify.com?tools=fetch_cat/welcome-to-the-jungle-jobs-api-scraper"

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=fetch_cat/welcome-to-the-jungle-jobs-api-scraper"
    }
  }
}

Example prompts:

• “Find 25 public data engineer jobs and summarize remote policies.”
• “Export product manager jobs with company, location, salary, and application URLs.”
• “Compare the skills requested in frontend developer and backend developer listings.”

Support

Open an issue from the Actor's Issues tab with a public search URL, expected result, and run ID. Do not include passwords, cookies, or private application data.