BuiltIn Jobs Scraper

Extract detailed job listings from BuiltIn with rich role metadata, salary information, structured location data, and application links. Collect clean BuiltIn job datasets for recruiting research, compensation analysis, market tracking, and job intelligence workflows.

Features

• Structured Job Records — Capture normalized BuiltIn job details with salary fields, employment type, benefits, and multi-location support
• Flexible Search Inputs — Search by keyword, location, category, or a custom BuiltIn jobs URL
• Automatic Pagination — Walk through multiple result pages until the requested result count is reached
• Clean Output — Removes duplicate records and omits empty values so datasets are easier to analyze
• Built For Analysis — Produces records that work well in spreadsheets, dashboards, internal tools, and data pipelines

Use Cases

Recruitment Intelligence

Track active hiring across BuiltIn companies and understand what kinds of roles are being filled. Compare employers by seniority, location spread, and application volume patterns.

Salary Benchmarking

Build compensation datasets with normalized salary minimums, maximums, and units. Use the data to compare pay ranges across roles, locations, and industries.

Job Market Research

Study how job demand shifts across categories, skills, and regions. Monitor which employers are posting repeatedly and where hiring is concentrated.

Company Monitoring

Follow hiring activity for specific employers or segments. Collect job URLs, company references, and application links for ongoing monitoring workflows.

Career Data Products

Use the dataset to power job trackers, analytics views, newsletters, or internal alerts. The output is suitable for export into downstream automation tools.

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Input Parameters

Parameter	Type	Required	Default	Description
keyword	String	No	"software engineer"	Search keyword or role title
location	String	No	—	Location filter for BuiltIn job search
category	String	No	—	BuiltIn category alias to narrow the search
startUrl	String	No	—	Custom BuiltIn jobs URL to use instead of keyword, location, and category
results_wanted	Integer	No	20	Maximum number of jobs to collect
max_pages	Integer	No	20	Maximum number of result pages to visit
proxyConfiguration	Object	No	Apify Proxy	Proxy settings for more reliable collection at scale

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Output Data

Each item in the dataset contains:

Field	Type	Description
job_id	Integer	BuiltIn job identifier
drupal_id	Integer	BuiltIn page identifier
title	String	Job title
company	String	Company name
category	Array	Industry or category labels associated with the role
location	String	Primary location summary
locations_count	Integer	Number of listed job locations
job_locations	Array	Structured location objects with city, state, country, and coordinates when available
applicant_location_requirements	Array	Countries or regions where applicants may be located
date_posted	String	Posting date
valid_through	String	Listing expiry date when provided
employment_type	String	Employment type such as full-time
description_html	String	Full job description in HTML form
description_text	String	Plain-text job description
workplace_type	String	On-site, hybrid, or remote label when available
workplace_type_enum	String	Normalized workplace type
salary_range_short	String	Human-readable salary range
salary_json_min	Number	Normalized salary minimum
salary_json_max	Number	Normalized salary maximum
salary_json_currency	String	Salary currency code
salary_json_unit	String	Salary unit such as year or hour
seniority	String	Experience level text
job_benefits	Array	Benefit labels published with the role
direct_apply	Boolean	Whether the listing supports direct apply
apply_url	String	Application destination
company_url	String	Company profile URL
company_logo	String	Company logo URL
company_overview	String	Company summary text when available
url	String	BuiltIn job URL
source	String	Source site name

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Usage Examples

Basic Search

Collect a small sample of software engineering jobs:

{
    "keyword": "software engineer",
    "results_wanted": 20
}

Location-Focused Search

Collect data for a specific location:

{
    "keyword": "data engineer",
    "location": "New York",
    "results_wanted": 50
}

Category-Filtered Search

Focus on one BuiltIn category:

{
    "keyword": "ml engineer",
    "category": "ai-machine-learning",
    "results_wanted": 40
}

Custom URL Search

Use a prepared BuiltIn search URL:

{
    "startUrl": "https://builtin.com/jobs?search=product+manager&location=Chicago",
    "results_wanted": 30
}

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Sample Output

{
    "job_id": 7936464,
    "drupal_id": 7936464,
    "title": "Software Engineer",
    "company": "Citadel",
    "category": [
        "Information Technology",
        "Software",
        "Financial Services",
        "Big Data Analytics"
    ],
    "location": "Houston, Texas, USA",
    "locations_count": 5,
    "job_locations": [
        {
            "street_address": "Bank of America Center 700 Louisiana St. Suite 4600",
            "city": "Houston",
            "state": "Texas",
            "postal_code": "77002",
            "country": "USA",
            "latitude": 29.76078,
            "longitude": -95.36952
        }
    ],
    "applicant_location_requirements": ["USA", "SGP", "GBR"],
    "date_posted": "2026-06-26",
    "valid_through": "2026-07-26T14:25:08+00:00",
    "employment_type": "FULL_TIME",
    "description_text": "At Citadel, Software Engineers are responsible for building the systems that power every aspect of our investment process.",
    "workplace_type": "In-Office",
    "workplace_type_enum": "IN_OFFICE",
    "salary_range_short": "150K-300K Annually",
    "salary_json_min": 150000,
    "salary_json_max": 300000,
    "salary_json_currency": "USD",
    "salary_json_unit": "YEAR",
    "seniority": "Senior level",
    "apply_url": "https://www.citadel.com/careers/details/software-engineer/",
    "company_url": "https://builtin.com/company/citadel",
    "url": "https://builtin.com/job/software-engineer/7936464",
    "source": "builtin.com"
}

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Tips for Best Results

Start Small

• Begin with 20 to validate search quality quickly
• Increase volume after confirming the keyword or URL is returning the right roles

Use Focused Queries

• Specific role names generally produce cleaner results than broad keywords
• Combine keyword and location when you need narrower datasets

Control Pagination

• Use max_pages to keep large jobs searches predictable
• Raise the cap only when you know the search has enough coverage

Improve Reliability

• For larger runs, use proxy configuration to reduce intermittent request failures
• Re-run narrow searches separately instead of one very broad request when consistency matters

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Integrations

Connect your data with:

• Google Sheets — Review and share hiring datasets
• Airtable — Build searchable job databases
• Slack — Send alerts for new matching roles
• Webhooks — Forward records into internal systems
• Make — Automate enrichment and reporting workflows
• Zapier — Trigger follow-up actions from fresh job data

Export Formats

• JSON — For automation and application use
• CSV — For spreadsheets and lightweight analysis
• Excel — For reporting and business users
• XML — For system integrations that require it

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Frequently Asked Questions

How many jobs can I collect?

You can collect as many matching jobs as BuiltIn exposes for the search query, subject to your results_wanted and max_pages limits.

Can I search by company?

Yes. You can use a BuiltIn jobs URL that already targets a specific company or search query.

Why are some optional fields missing?

BuiltIn does not publish every field on every role. The actor omits empty values rather than returning placeholders.

Does the actor remove duplicates?

Yes. Duplicate job URLs are filtered before records are written to the dataset.

Can I use proxies?

Yes. Proxy configuration is supported and recommended for larger or more frequent runs.

Can I schedule recurring runs?

Yes. Use Apify schedules to monitor job search results continuously.

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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 terms and applicable laws when using the resulting data.