Welcome To The Jungle Jobs Scraper

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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 keyword, country code, and posted-within filter 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.

Input Parameters

Output Data

Each dataset item can include:

Usage Examples

Basic Run

{
"keyword":"software engineer",
"location":"US",
"posted_within":"24h",
"results_wanted":20,
"max_pages":5
}

Keyword + Location Expansion

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

Date-Filtered Run

{
"keyword":"data scientist",
"location":"FR",
"posted_within":"30d",
"results_wanted":80,
"max_pages":12
}

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"
}

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 Date Filter for Fresh Jobs

• Use posted_within as one of: any, 24h, 7d, 30d.
• Use any when you want all available posting dates.

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.

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. Leave both empty to run broad collection, and optionally set posted_within for recency.

Which location format should I use?

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

Support

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

Resources

• Apify Documentation
• Apify API Reference
• Apify Scheduling

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.