Welcome To The Jungle Jobs Scraper

Extract, collect, and monitor job listings from Welcome to the Jungle at scale. Build structured datasets with titles, companies, locations, salary signals, contract details, and rich job descriptions for market research, hiring intelligence, and automated tracking.

Features

• Auto-healing collection — Recovers from temporary fetch failures and keeps progressing across pages.
• Credential self-refresh — Automatically updates search credentials when the source rotates keys.
• Simple input model — Run by Start URL, keyword, and country code with minimal setup.
• Rich structured output — Produces detailed fields for analytics-ready datasets.
• Deduplicated records — Prevents duplicate job items in the final dataset.
• Clean output values — Removes null and empty values for easier downstream use.

Use Cases

Recruitment Intelligence

Track role demand by company and country to understand where hiring is accelerating.

Job Board Aggregation

Collect fresh listings for niche boards, internal portals, or role-specific feeds.

Labor Market Analysis

Measure salary signals, contract trends, and remote patterns over time.

Career Monitoring

Create recurring snapshots for specific keywords and locations.

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Input Parameters

Parameter	Type	Required	Default	Description
start_url	String	No	""	Optional Welcome to the Jungle jobs URL. If provided, query, country, and language are auto-detected from the URL.
keyword	String	No	""	Search keyword such as a role name, skill, or job title.
location	String	No	""	Two-letter country code such as US, GB, FR, or DE.
results_wanted	Integer	No	20	Maximum number of job records to collect.
max_pages	Integer	No	5	Safety limit for pagination depth.

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Output Data

Each dataset item can include:

Field	Type	Description
job_id	String	Stable identifier for the job item.
title	String	Job title.
company	String	Company name.
company_slug	String	Company slug when available.
location	String	Human-readable job location.
country	String	Country value when available.
contract_type	String	Contract type value when available.
remote	String	Remote-work value when available.
salary	String	Salary value or range when available.
date_posted	String	Job publish date.
url	String	Direct job URL.
description_html	String	Raw rich-text description when available.
description_text	String	Clean plain-text description when available.
tags	Array[String]	Category and sector tags.
sectors	Array[Object]	Structured sector metadata.
_source	String	Record source marker.
_fetched_at	String	Collection timestamp in ISO format.

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Usage Examples

Basic Run

{
  "keyword": "software engineer",
  "location": "US",
  "results_wanted": 20,
  "max_pages": 5
}

Keyword + Location Expansion

{
  "keyword": "product manager",
  "location": "GB",
  "results_wanted": 60,
  "max_pages": 10
}

Start URL Driven Run

{
  "start_url": "https://www.welcometothejungle.com/en/jobs?query=data%20scientist&refinementList%5Boffices.country_code%5D%5B%5D=FR",
  "results_wanted": 80,
  "max_pages": 12
}

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Sample Output

{
  "job_id": "senior-data-scientist-abc123",
  "title": "Senior Data Scientist",
  "company": "TechVision",
  "company_slug": "techvision",
  "location": "Paris, Ile-de-France, France",
  "country": "France",
  "contract_type": "full_time",
  "remote": "partial",
  "salary": "65000-85000 EUR",
  "date_posted": "2026-02-10T09:15:00.000Z",
  "url": "https://www.welcometothejungle.com/en/companies/techvision/jobs/senior-data-scientist-abc123",
  "description_html": "<p>You will build and deploy machine learning solutions...</p>",
  "description_text": "You will build and deploy machine learning solutions...",
  "_source": "search",
  "_fetched_at": "2026-04-18T09:00:00.000Z"
}

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Tips for Best Results

Start Small, Then Scale

• Begin with results_wanted: 20 to validate your search intent.
• Increase limits once output quality matches your use case.

Use Specific Queries

• Prefer focused keywords like backend engineer over broad terms.
• Combine with a country code for cleaner datasets.

Use Start URL for Precision

• Paste a jobs URL that already includes query and country parameters.
• The actor auto-detects and applies these values internally.

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Integrations

• Google Sheets — Track hiring trends in shared dashboards.
• Airtable — Build searchable job intelligence bases.
• Slack — Send recurring role updates to channels.
• Make — Automate enrichment and routing workflows.
• Zapier — Trigger no-code actions from fresh runs.
• Webhooks — Push datasets into your own pipeline.

Export Formats

• JSON — API workflows and custom applications.
• CSV — Spreadsheet analysis.
• Excel — Reporting and business handoffs.
• XML — Legacy system integrations.

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Frequently Asked Questions

How many jobs can I collect?

Set results_wanted to your target. The actor stops when the target is reached or max_pages is hit.

Is output deduplicated?

Yes. Duplicate job IDs and URLs are skipped before writing to the dataset.

Does it handle rotating credentials?

Yes. It automatically refreshes credentials during runtime when needed.

Can I run without keyword and location?

Yes. You can provide a start_url, or run broad collection with empty filters.

Which location format should I use?

Use two-letter country codes such as US, GB, FR, or DE.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Apify Scheduling

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Legal Notice

This actor is designed for legitimate data collection. You are responsible for complying with website terms, applicable laws, and responsible data usage practices.