BuiltIn Jobs Scraper

Extract comprehensive job listings from BuiltIn.com with complete details including descriptions, salaries, company information, and more. Collect thousands of tech job postings across multiple locations and categories at scale. Perfect for job market research, recruitment intelligence, and career analysis.

Features

• Complete Job Data — Extract full job descriptions, requirements, salaries, and company details
• Flexible Search — Search by keyword, location, or use custom BuiltIn.com URLs
• Automatic Pagination — Seamlessly handles multiple pages to reach your desired result count
• Fast Extraction — Optimized JSON parsing for 2-3x faster data collection
• Structured Output — Clean, normalized data ready for analysis and integration

Use Cases

Recruitment Intelligence

Monitor job market trends and identify hiring patterns across tech companies. Track which skills are in demand, salary ranges for specific roles, and emerging job categories to inform recruitment strategies.

Career Research

Analyze job requirements and qualifications across different companies and locations. Understand what skills employers are seeking, compare compensation packages, and identify career growth opportunities in the tech industry.

Market Analysis

Build comprehensive datasets of tech job postings for business intelligence. Track hiring trends, analyze company growth patterns, and identify market opportunities in specific tech sectors or geographic regions.

Competitive Intelligence

Monitor competitor hiring activities and expansion plans. Track which roles companies are filling, their growth trajectory, and strategic focus areas based on job posting patterns.

Salary Benchmarking

Collect salary data across different roles, experience levels, and locations. Build compensation databases to inform salary negotiations, budget planning, and competitive positioning.

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Input Parameters

Parameter	Type	Required	Default	Description
keyword	String	No	"software engineer"	Job search keyword (e.g., "Data Scientist", "Product Manager")
location	String	No	—	Job location filter (leave empty for all locations)
startUrl	String	No	—	Custom BuiltIn.com search URL (overrides keyword/location)
results_wanted	Integer	No	20	Maximum number of jobs to collect
max_pages	Integer	No	20	Safety limit on number of pages to visit
proxyConfiguration	Object	No	Apify Proxy	Proxy settings for reliable scraping

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Output Data

Each job in the dataset contains:

Field	Type	Description
title	String	Job title
company	String	Company name
category	Array	Job categories (e.g., ["Software", "Fintech"])
location	String	Job location
date_posted	String	Publication date (ISO format)
description_html	String	Full job description (HTML format)
description_text	String	Job description (plain text)
url	String	Job posting URL
source	String	Data source (builtin.com)
company_overview	String	Company description and background
workplace_type	String	Remote, hybrid, or in-office
salary_range_short	String	Salary range if available
seniority	String	Experience level (Junior, Mid, Senior, etc.)

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Usage Examples

Basic Job Search

Extract software engineering jobs:

{
    "keyword": "software engineer",
    "results_wanted": 50
}

Location-Specific Search

Find jobs in a specific city:

{
    "keyword": "data scientist",
    "location": "San Francisco",
    "results_wanted": 100
}

Custom URL Search

Use a specific BuiltIn.com search URL:

{
    "startUrl": "https://builtin.com/jobs?search=product+manager&location=New+York",
    "results_wanted": 75
}

Large-Scale Collection

Collect comprehensive job data with proxy configuration:

{
    "keyword": "machine learning",
    "results_wanted": 500,
    "max_pages": 50,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

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Sample Output

{
    "title": "Senior Software Engineer",
    "company": "TechCorp Inc",
    "category": ["Software", "Artificial Intelligence", "Machine Learning"],
    "location": "San Francisco, CA, USA",
    "date_posted": "2026-02-13",
    "description_html": "<p>We are seeking an experienced Senior Software Engineer...</p>",
    "description_text": "We are seeking an experienced Senior Software Engineer to join our AI team...",
    "url": "https://builtin.com/job/senior-software-engineer/12345",
    "source": "builtin.com",
    "company_overview": "TechCorp is a leading AI company transforming industries...",
    "workplace_type": "Remote",
    "salary_range_short": "$150K-$200K Annually",
    "seniority": "Senior"
}

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Tips for Best Results

Choose Relevant Keywords

• Use specific job titles for targeted results
• Try variations (e.g., "ML Engineer", "Machine Learning Engineer")
• Combine keywords for niche roles (e.g., "Senior React Developer")

Optimize Collection Size

• Start with 20-50 results for testing
• Increase to 100-500 for production datasets
• Use max_pages to control scraping depth

Use Proxy Configuration

For reliable, large-scale scraping, residential proxies are recommended:

{
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Monitor Data Quality

• Check that job descriptions are complete
• Verify salary data is extracted when available
• Review company information for completeness

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Integrations

Connect your job data with:

• Google Sheets — Export for analysis and sharing
• Airtable — Build searchable job databases
• Slack — Get notifications for new job postings
• Webhooks — Send data to custom endpoints
• Make — Create automated recruitment workflows
• Zapier — Trigger actions based on job data

Export Formats

Download data in multiple formats:

• JSON — For developers and API integrations
• CSV — For spreadsheet analysis and reporting
• Excel — For business intelligence tools
• XML — For system integrations

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Frequently Asked Questions

How many jobs can I collect?

You can collect up to thousands of jobs per run. The practical limit depends on BuiltIn.com's available listings for your search criteria.

Can I scrape multiple locations?

Yes, run the actor multiple times with different location parameters, or leave location empty to collect jobs from all locations.

What if some fields are empty?

Some fields like salary or workplace type may be empty if the job posting doesn't include that information. This is normal and expected.

How often is the data updated?

The scraper fetches real-time data directly from BuiltIn.com. Run it on a schedule to track new job postings as they're published.

Can I use this for commercial purposes?

Yes, the extracted data can be used for business intelligence, recruitment, market research, and other commercial applications.

How fast is the scraper?

The scraper is optimized for speed, collecting 20 jobs in approximately 45 seconds. Larger datasets scale proportionally.

Do I need proxies?

For small runs (< 100 jobs), proxies are optional. For large-scale or frequent scraping, residential proxies are recommended for reliability.

Can I schedule regular runs?

Yes, use Apify's scheduling feature to run the scraper daily, weekly, or at custom intervals to monitor job market changes.

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Support

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

Resources

• Apify Documentation
• API Reference
• Scheduling Runs
• Proxy Configuration

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Legal Notice

This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with BuiltIn.com's terms of service and applicable laws. Use data responsibly and respect rate limits.