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FlexJobs Job Search Scraper 🔍

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FlexJobs Job Search Scraper 🔍

FlexJobs Job Search Scraper 🔍

easyapi/flexjobs-job-search-scraper
Try for free

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

Extract detailed job listings from FlexJobs.com with this powerful scraper. Get comprehensive information about remote, flexible, and traditional job opportunities, including salaries, benefits, and requirements. Perfect for job market analysis and recruitment research. 🔍

Developer
Maintained by Community

Actor Metrics

  • 4 Monthly users

  • No reviews yet

  • 1 bookmark

  • >99% runs succeeded

  • Created in Feb 2025

  • Modified 6 days ago

🤖 What does FlexJobs Job Search Scraper do?

This actor scrapes job listings from FlexJobs.com, one of the leading platforms for remote and flexible job opportunities. It enables you to extract detailed job information based on your search criteria.

✨ Features

  • 🎯 Scrapes job listings from custom FlexJobs search URLs
  • 📋 Extracts comprehensive job details including:
    • Job title and description
    • Salary range
    • Location and remote work options
    • Job type and schedule
    • Required experience level
    • Benefits package
    • Company information
  • ⚡ Supports pagination and dynamic loading
  • 🔄 Handles rate limiting and proxy rotation
  • 📊 Outputs structured JSON data
  • ⚙️ Configurable maximum number of items to scrape

💡 Use Cases

  • Market research for salary ranges and job benefits
  • Tracking remote work opportunities
  • Analyzing job market trends
  • Recruitment and HR analytics
  • Career opportunity monitoring

📋 Input Parameters

The actor accepts the following parameters:

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

📦 Output

The actor outputs detailed job listings in JSON format, including:

  • Job ID and title
  • Full description
  • Posting and expiration dates
  • Location details
  • Salary information
  • Job type and schedule
  • Benefits package
  • Company details
  • Career level requirements

💪 Tips for getting the best results

  1. Use specific search keywords in your URLs
  2. Set appropriate maxItems limit based on your needs
  3. Consider using proxies for large-scale scraping
  4. Monitor rate limits and adjust accordingly

Input Example

A full explanation of an input example in JSON.

1{
2    "searchUrls": [
3        "https://www.flexjobs.com/search?searchkeyword=ai&usecLocation=true"
4    ],
5    "maxItems": 70
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.flexjobs.com/search?searchkeyword=ai&usecLocation=true",
4        "jobId": "48c41478-fa52-4944-8ee7-b713c02b438d",
5        "title": "AI - API Full Stack Engineer",
6        "description": "Develop and maintain innovative <b>AI</b> solutions, collaborate with cross-functional teams to enhance features, take ownership of projects, and stay updated on emerging technologies to drive product excellence.",
7        "postedDate": "2025-01-21T07:56:42Z",
8        "expireOn": "2025-03-15T00:00:00Z",
9        "jobLocations": [
10            "London, ENG, United Kingdom"
11        ],
12        "remoteOptions": [
13            "Hybrid Remote Work"
14        ],
15        "jobSchedules": [
16            "Full-Time"
17        ],
18        "jobTypes": [
19            "Employee"
20        ],
21        "salaryRange": "",
22        "jobBenefits": [
23            "Health Insurance",
24            "Paid Holidays",
25            "Paid Time Off"
26        ],
27        "categories": [
28            "Computer & IT",
29            "Database Administration",
30            "Software Development",
31            "Python"
32        ],
33        "careerLevel": [
34            "Experienced"
35        ],
36        "travelRequired": "No specification",
37        "company": null,
38        "score": 37.246437,
39        "eligibleForExpertApply": true
40    },
41    ...
42]