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Jungle Job Scraper 🌴

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Jungle Job Scraper 🌴

Jungle Job Scraper 🌴

easyapi/jungle-job-scraper
Try for free

6 hours trial then $19.99/month - No credit card required now

Efficiently scrape job listings from Welcome to the Jungle with comprehensive details including salaries, company information, and benefits. Perfect for recruitment analysis, market research, and job market monitoring. 🌴✨

Developer
Maintained by Community

Actor Metrics

  • 3 Monthly users

  • No reviews yet

  • 1 bookmark

  • >99% runs succeeded

  • Created in Feb 2025

  • Modified 6 days ago

🤖 What does Jungle Job Scraper do?

This actor scrapes job listings from Welcome to the Jungle (welcometothejungle.com), a modern job board platform. It extracts detailed job information including salary ranges, company details, and job requirements.

✨ Features

  • 🔍 Scrapes job listings with detailed information
  • 💰 Captures salary ranges and benefits
  • 🏢 Includes comprehensive company information
  • 📍 Supports location-specific searches
  • 🌐 Handles remote work indicators
  • ⚡ Fast and efficient with pagination support
  • 🛡️ Built-in proxy support

💎 Output Data Structure

The actor provides rich job listing data including:

  • Job title and reference
  • Salary information (min/max, currency, period)
  • Contract type and remote work status
  • Company details (name, description, size, ranking)
  • Location information
  • Benefits and sectors
  • Publication date

🔍 Input Parameters

  • searchUrls: Array of Welcome to the Jungle search URLs to scrape
  • maxItems: Maximum number of items to scrape (optional)
  • proxyConfiguration: Proxy settings (optional)

📊 Use Cases

  • Market research and salary analysis
  • Job market monitoring
  • Recruitment data aggregation
  • Company insights collection
  • Career opportunity tracking

💡 Tips

  • Use specific search URLs for targeted results
  • Adjust maxItems based on your needs
  • Consider using proxies for better reliability

📝 Example Output

Input Example

A full explanation of an input example in JSON.

1{
2    "searchUrls": [
3        "https://www.welcometothejungle.com/en/jobs?refinementList%5Boffices.country_code%5D%5B%5D=US&query=data&page=1"
4    ],
5    "maxItems": 50
6}

Output sample

The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

1[
2    {
3        "searchUrl": "https://www.welcometothejungle.com/en/jobs?refinementList%5Boffices.country_code%5D%5B%5D=US&query=data&page=1",
4        "jobTitle": "Junior Consultant in Strategy & Data Science | New York",
5        "jobReference": "2b3e66ae-27c9-495a-8bc3-ac18a21bba9f",
6        "publishedAt": "2025-02-10T23:46:28Z",
7        "salary": {
8            "minimum": 75000,
9            "maximum": 75000,
10            "currency": "USD",
11            "period": "yearly"
12        },
13        "contractType": "full_time",
14        "remote": "partial",
15        "hasRemote": true,
16        "profession": {
17            "category": "Tech & Engineering",
18            "subCategory": "Data / Business Intelligence",
19            "role": "Data Scientist"
20        },
21        "company": {
22            "name": "Ekimetrics",
23            "description": null,
24            "employeeCount": 400,
25            "logo": "https://cdn-images.welcometothejungle.com/jjqUZyXklWxBfGBn2fzO9XKXEY2PBLC_cTZtudQpOoE/rs:auto:400::/q:85/czM6Ly93dHRqLXByb2R1Y3Rpb24vdXBsb2Fkcy9vcmdhbml6YXRpb24vbG9nby80MTI0LzE0ODg4OS84ODZkNzBmMi03YTNjLTQ3M2YtYjFmMS03ODBjNTEzYjI5OGIucG5n",
26            "profileRanking": 100
27        },
28        "locations": [
29            {
30                "city": "New York",
31                "state": "New York",
32                "country": "United States",
33                "countryCode": "US"
34            }
35        ],
36        "benefits": [],
37        "sectors": [
38            {
39                "name": "IT / Digital",
40                "parentName": "Consulting / Audit"
41            },
42            {
43                "name": "Strategy",
44                "parentName": "Consulting / Audit"
45            },
46            {
47                "name": "Audit",
48                "parentName": "Consulting / Audit"
49            },
50            {
51                "name": "Big Data",
52                "parentName": "Tech"
53            }
54        ]
55    },
56    ...
57]