Welcometothejungle Jobs Scraper
by orgupdate
Extract real-time job postings from Welcome to the Jungle at scale. Perfect for recruitment, market research, HR insights, and building custom job datasets.
Opens on Apify.com
About Welcometothejungle Jobs Scraper
Need to pull job listings from Welcome to the Jungle for your project? I've been there. This scraper is built to handle that exact task, pulling real-time job postings from the platform at scale, from any location they list. It's become my go-to for automating what would otherwise be a manual, time-consuming research process. The main use case is pretty straightforward: recruitment and HR teams can use it to monitor the market, track competitor hiring, or build talent pipelines. For analysts and consultants, it's a solid source for gathering job market insights and trends directly from a major platform. You get structured data ready for your databases, spreadsheets, or internal tools without having to click through pages manually. I set it up to run on a schedule for ongoing projects, and it just works. The data comes out clean, which saves hours of cleanup later. Whether you're building a job board aggregator, conducting salary research, or just need to track hiring activity in a specific sector, this actor gets you the raw listings you need to start working.
What does this actor do?
Welcometothejungle Jobs Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
WelcomeToTheJungle Jobs Scraper
Overview
This actor scrapes job listings from WelcomeToTheJungle search results. It extracts structured data for building job boards, analyzing labor markets, or automating recruitment lead generation.
Key Features
- Multi-source aggregation: Pulls listings from thousands of job boards via a single search query.
- Filtering: Filter by company, location, job type (Remote/Contract), and posting date.
- Performance: Optimized for speed and low compute usage.
- Fresh data: Target recent postings like "Posted 3 days ago" or "Today".
- API ready: Integrates with Python, Node.js, Zapier, and Make.com.
Input Parameters
Configure the scraper using these JSON input parameters:
| Parameter | Type | Required | Description | Default | Valid Values |
|---|---|---|---|---|---|
countryName |
String | No | Country context for the search domain | "all" | "usa", "uk", "india", etc. |
includeKeyword |
String | Yes | Main search terms or skills | - | Any string (e.g., "React", "Marketing Manager") |
locationName |
String | No | City, state, or region | - | Any location string |
companyName |
String | No | Filter to a specific employer | - | Any company name |
jobType |
String | No | Employment type | - | FULLTIME, PARTTIME, CONTRACTOR, INTERN |
datePosted |
String | No | How recent the jobs should be | "month" | today, 3days, week, month |
pagesToFetch |
Integer | No | Number of pagination pages to scrape | 1 | Positive integers |
Example input:
{
"countryName": "usa",
"locationName": "new york",
"includeKeyword": "software engineer, python",
"companyName": "WelcomeToTheJungle",
"jobType": "FULLTIME",
"datePosted": "week",
"pagesToFetch": 3
}
Output Data
Results are stored in the default Apify dataset, downloadable as JSON, CSV, Excel, or XML.
Sample JSON output:
[
{
"job_title": "Senior Frontend Developer",
"company_name": "Tech Corp Inc.",
"location": "New York, NY (Remote)",
"posted_via": "LinkedIn",
"salary": "$120,000 - $150,000 a year",
"date": "2025-03-25",
"job_type": "Full-time",
"URL": "https://www.WelcomeToTheJungle.com/search?..."
}
]
Field dictionary:
- job_title: Official role designation.
- company_name: Hiring organization.
- location: Geographical location or "Remote" status.
- posted_via: Original platform (e.g., Monster, Greenhouse, LinkedIn).
- salary: Pay range if provided.
- URL: Direct link to the job listing.
How to Use
- Deploy on Apify: Run the actor directly from the Apify platform.
- Schedule & Automate: Set up periodic runs to keep data updated.
- Export Data: Integrate results with your CRM, website, or analytics platform.
Programmatic Usage
Run the actor via the Apify API using client libraries.
Python example:
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
"countryName": "usa",
"includeKeyword": "Data Scientist",
"pagesToFetch": 2
}
run = client.actor("actor-id").call(run_input=run_input)
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Welcometothejungle Jobs Scraper now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- orgupdate
- Pricing
- Paid
- Total Runs
- 315
- Active Users
- 21
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