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How to Scrape Welcome to the Jungle Jobs — Free No-Code Guide (2026)

#welcome #webscraping #api #python

If you need to pull Welcome to the Jungle Jobs data at scale and there's no clean official API, this guide shows how to export it to JSON, CSV or Excel in a couple of minutes — with no scraping code to maintain.

We'll use the Welcome to the Jungle Jobs Scraper — WTTJ Salary & Companies, a hosted scraper on the Apify platform. You only need a free Apify token — no Welcome to the Jungle Jobs login, no proxies, no reverse-engineering.

What data you get

Each run returns structured records with fields like:

  • title
  • companyName
  • contractType
  • remote
  • salaryYearlyMin
  • salaryYearlyMax
  • salaryCurrency
  • professionCategory
  • url
  • publishedAt
  • jobId
  • slug
  • experienceMin
  • language

Results are paginated automatically — you can pull thousands of rows per run and export them as JSON, CSV, Excel, JSONL or XML.

Option 1 — No code (Apify Console)

  1. Open the actor: https://apify.com/logiover/welcome-to-the-jungle-jobs-scraper
  2. Click Try for free.
  3. Leave the input empty for a broad sample, or set the fields below.
  4. Run it, then Export the dataset as CSV/JSON/Excel.

Option 2 — Node.js 

npm install welcome-to-the-jungle-jobs-scraper
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const scrape = require("welcome-to-the-jungle-jobs-scraper");

(async () => {
  const items = await scrape({}, { token: process.env.APIFY_TOKEN });
  console.log(items.length, "results");
  console.log(items[0]);
})();
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Option 3 — Python 

pip install welcome-to-the-jungle-jobs-scraper
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from welcome_to_the_jungle_jobs_scraper import scrape

items = scrape({}, token="YOUR_APIFY_TOKEN")
print(len(items), "results")
print(items[0])
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Grab a free token at https://console.apify.com/account/integrations.

Input options

Field Type What it does
query string Search Query
language string Language
contractTypes array Contract Types
remote array Remote Policy
categories array Job Categories
experienceMin integer Min Experience (years)
experienceMax integer Max Experience (years)
salaryMin integer Minimum Yearly Salary
maxJobs integer Max Jobs
fetchJobDetails boolean Fetch Full Job Details

Common use cases

  • Build a fresh Welcome to the Jungle Jobs dataset for analysis or dashboards
  • Feed Welcome to the Jungle Jobs records into your own app, CRM or spreadsheet
  • Monitor changes on a schedule and get alerts via webhooks
  • Enrich leads or research with up-to-date Welcome to the Jungle Jobs data

Automation & export

Because it runs on Apify, you can schedule it, trigger it via webhook, and pipe results into Google Sheets, S3, Zapier, Make or n8n. Every run's dataset is downloadable as CSV, JSON, JSONL, Excel or XML.

FAQ

Do I need an API key? Only a free Apify token. No Welcome to the Jungle Jobs account needed.

How many results can I get? Thousands per run; raise the limit to pull more.

Is it an official Welcome to the Jungle Jobs API? No — it's an unofficial, maintained alternative when there's no official or affordable API.

Can I export to CSV/Excel? Yes — JSON, CSV, JSONL, Excel and XML.

▶️ Run the Welcome to the Jungle Jobs Scraper — WTTJ Salary & Companies on Apify: https://apify.com/logiover/welcome-to-the-jungle-jobs-scraper

📚 Docs & code examples: https://github.com/logiover/welcome-to-the-jungle-jobs-scraper

🧰 More scrapers: https://apify.com/logiover

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