Welcome To The Jungle Jobs Scraper

What does Welcome to the Jungle Jobs Scraper do?

Welcome to the Jungle Jobs Scraper collects job listings from welcometothejungle.com, a global job platform covering tech, business, creative, and engineering roles across Europe and worldwide. Enter a keyword such as "software engineer" or "product manager", optionally pick a country code and posting recency, and the Actor returns structured job data including titles, companies, locations, contract types, remote policies, salary ranges, and full descriptions. It is designed for job market research, hiring intelligence, recruitment tracking, and labor analysis workflows.

Why use Welcome to the Jungle Jobs Scraper?

• Structured job data at scale - Collect hundreds of Welcome to the Jungle listings in a single run with consistent output fields for databases, analytics, and reporting.
• Flexible search and filtering - Search by keyword, two-letter country code (US, GB, FR, DE), and posting recency (24 hours, 7 days, 30 days, or any time). Adjust result limits and page depth to match your workflow.
• Automation-ready output - Export datasets to JSON, CSV, Excel, or XML. Connect results to Google Sheets, webhooks, or no-code platforms. Schedule repeat runs for ongoing monitoring.
• Resilient data collection - The Actor recovers from temporary fetch failures, rotates search credentials automatically when the source updates them, and deduplicates results so your dataset stays clean.
• Market and hiring intelligence - Track role demand, salary ranges, contract types, remote patterns, and hiring activity by company and country.

What data can you extract from Welcome to the Jungle?

Field	Description
title	Job position title
company	Name of the hiring organization
location	Human-readable job location including city, state, and country
country	Country value when published
contract_type	Contract type such as full_time, part_time, contract, or internship
remote	Remote work policy when available
salary	Salary range or fixed amount with currency when disclosed
date_posted	Job publish date in ISO format
url	Direct URL to the job listing on Welcome to the Jungle
description_text	Clean plain-text job description
description_html	Rich-text job description when available
tags	Category and sector tags
sectors	Structured sector metadata

How to use Welcome to the Jungle Jobs Scraper

1. Open the Actor on Apify Store.
2. Enter a job title, skill, or keyword such as "data analyst" or "frontend developer".
3. Optionally set a two-letter country code and a posting recency filter.
4. Set the maximum number of jobs to collect.
5. Run the Actor.
6. Download the dataset from Apify Console or connect it to your workflow.

Input Parameters

Parameter	Type	Required	Default	Description
keyword	String	No	""	Job title, skill, or keyword to search. Leave empty to search all jobs.
location	String	No	""	Two-letter country code such as US, GB, FR, or DE. Leave empty for worldwide results.
posted_within	String	No	"any"	Posting recency filter: any, 24h, 7d, or 30d.
results_wanted	Integer	No	20	Maximum number of job records to collect.
max_pages	Integer	No	5	Safety limit on search result pages to process.

Output Data

Field	Type	Description
job_id	String	Stable identifier for the job item
title	String	Job position title
company	String	Company name
company_slug	String	Company URL slug when available
location	String	Human-readable job location
country	String	Country value when available
contract_type	String	Contract type such as full_time or part_time
remote	String	Remote work policy when available
salary	String	Salary value or range with currency when disclosed
date_posted	String	Job publish date in ISO format
url	String	Direct URL to the job listing
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

Usage Examples

Basic Keyword Search

Collect the latest software engineer jobs in the United States:

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

Location Expansion

Search for product manager roles in the United Kingdom without a date restriction:

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

Date-Filtered Collection

Gather data scientist listings in France posted in the last 30 days:

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

Broad Collection Without Filters

Run with no keyword or location to collect recent listings across all regions:

{
  "posted_within": "7d",
  "results_wanted": 50
}

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...",
  "tags": ["Data Science", "Machine Learning", "Python"],
  "_source": "search",
  "_fetched_at": "2026-04-18T09:00:00.000Z"
}

Tips for Best Results

• Start with a smaller results_wanted value such as 20 to validate your search intent before scaling up.
• Use specific keywords like "backend engineer" or "marketing manager" for more relevant results.
• Combine a keyword with a country code to narrow results to a specific market.
• Use posted_within as 24h for daily monitoring, 7d for weekly updates, or 30d for broader time ranges.
• Leave both keyword and location empty to collect broadly across all available listings.
• Some fields such as salary, contract type, or remote policy may be empty when the employer did not publish that information.
• Report missing fields or unexpected results through the Issues tab so the Actor can be improved.

Integrations

• Google Sheets - Send job data to spreadsheets for analysis and sharing.
• Airtable - Build searchable hiring intelligence bases.
• Slack - Send recurring role updates to team channels.
• Make or Zapier - Connect results to no-code automations and workflows.
• Webhooks - Push datasets into your own pipeline after each run.
• API - Access datasets programmatically from your own systems.

Export Formats

• JSON - For programmatic processing and API integration.
• CSV - For spreadsheet analysis and ad hoc reporting.
• Excel - For business reporting and handoffs.
• XML - For legacy system integrations.

Frequently Asked Questions

How many jobs can I collect in one run?

Set results_wanted to your target number. The Actor stops when the target is reached or the max_pages limit is hit.

Can I run the Actor without a keyword or location?

Yes. Leave both fields empty to collect broadly. Optionally set posted_within to control recency.

What format should I use for location?

Use two-letter country codes such as US, GB, FR, or DE. The Actor also accepts common aliases like "USA", "UK", or "France".

Does the Actor deduplicate results?

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

Can I export the data to CSV or Excel?

Yes. Apify datasets can be downloaded in CSV, Excel, JSON, XML, and other formats from Apify Console.

Is this Actor suitable for non-technical users?

Yes. The Actor can be run from Apify Console with form-based inputs, and the output can be downloaded without writing code.

What should I do if some fields are missing?

Some fields may be empty when the source page does not publish that information. Check multiple results before assuming the Actor missed data.

How often should I run the Actor?

For daily monitoring of new opportunities, use the 24h filter and schedule a daily run. For broader analysis, weekly or monthly runs work well.

Is it legal to scrape Welcome to the Jungle?

Scraping publicly available job listing data may be legal, but you are responsible for complying with applicable laws, the website's terms of service, and data privacy regulations.

Related Actors

• LinkedIn Job Scraper - Collect job listings from LinkedIn with titles, companies, salaries, and descriptions.
• Xing Jobs Scraper - Extract professional job listings from Xing for the DACH region.
• Naukri Jobs Scraper - Gather job postings from Naukri for the Indian market.

Support

For issues, feature requests, or custom scraping projects, use the Issues tab on the Actor page or contact the developer through Apify.

Legal Notice

This Actor is designed for legitimate data collection from publicly available job listings. Users are responsible for using the data responsibly and complying with applicable laws, website terms, and data privacy requirements.