Levels.fyi Jobs Scraper

Extract comprehensive job listings from Levels.fyi with ease. Collect salary data, company information, job titles, locations, and more from a global job database. Perfect for career research, salary benchmarking, market analysis, and building job datasets at scale.

Features

• Reliable Job Collection — Gather structured listings with consistent fields for analysis
• Flexible Search — Search by keyword and location or use custom query strings
• Salary Intelligence — Captures base salary ranges, total compensation, and currency details
• Company Metadata — Includes company type, employee count, valuations, and descriptions
• Collection Controls — Set maximum jobs and page limits to balance speed and depth
• Job Details — Optionally fetch full job descriptions and additional information
• Proxy Support — Built-in Apify Proxy integration for scale and reliability
• Dataset Export — Automatic export to JSON, CSV, Excel, or XML formats

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Use Cases

Career Research & Salary Benchmarking

Track salary trends across roles, experiences, and geographies. Compare compensation packages, identify high-paying opportunities, and understand market rates for your position. Perfect for job seekers planning career moves or validating salary expectations.

Market Intelligence & Competitive Analysis

Monitor hiring patterns and compensation strategies of competing companies. Identify which organizations are hiring in your target markets and what they're offering. Build competitive intelligence dashboards without manual research.

Recruitment & Talent Sourcing

Identify qualified talent pools by scanning jobs in your industry. Understand skill requirements, common job titles, and emerging technology trends. Inform recruiting strategies with data on where top talent works.

Data Analytics & Research

Build datasets for academic research, industry reports, and business intelligence. Analyze labor market trends, salary distributions, and hiring patterns across different sectors and regions.

Career Planning & Education

Help students and career changers understand in-demand roles, required skills, and salary expectations. Use data to guide education and training decisions aligned with job market realities.

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Input Parameters

Parameter	Type	Required	Default	Description
searchQuery	String	No	—	Job search query, e.g., 'Software Engineer' or 'Product Manager Toronto'. Overrides keyword+location if provided.
keyword	String	No	—	Job search keyword, e.g., 'Data Scientist'. Used only if searchQuery is not provided.
location	String	No	—	Geographic location or work arrangement, e.g., 'Remote', 'San Francisco', 'Canada'. Combined with keyword if searchQuery is not provided.
results_wanted	Integer	No	20	Maximum number of job listings to collect.
max_pages	Integer	No	10	Safety cap on API pages to request.
collectDetails	Boolean	No	false	Fetch full job descriptions and details. Increases runtime but provides richer data.
proxyConfiguration	Object	No	—	Apify Proxy settings. Set useApifyProxy: true and apifyProxyGroups: ["RESIDENTIAL"] for best results.

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Output Data

Each job item in the dataset contains the following fields:

Field	Type	Description
id	String	Unique Levels.fyi job identifier
title	String	Job position title
company	String	Company name
company_slug	String	URL-friendly company identifier
company_type	String	Company classification (e.g., startup, public, etc.)
company_employee_count	Number	Approximate employee size
company_estimated_valuation	Number	Company valuation estimate (if available)
company_short_description	String	Brief company description
company_icon	String	URL to company logo/icon
is_promoted	Boolean	Whether the listing is promoted
locations	Array	Array of job location strings
work_arrangement	String	Work type: remote, hybrid, or on-site
application_url	String	Direct link to apply
posting_date	String	ISO-8601 formatted posting date
expiry_date	String	ISO-8601 formatted application deadline
min_base_salary	Number	Minimum annual base salary
max_base_salary	Number	Maximum annual base salary
base_salary_currency	String	Currency code (USD, EUR, etc.)
min_total_salary	Number	Minimum total compensation (includes bonuses/equity)
max_total_salary	Number	Maximum total compensation
job_family_slug	String	Job family/category identifier (if available)
employment_types	Array	Employment type labels (if available)
postal_addresses	Array	Structured address objects (if available)
total_compensation_estimates	Array	Compensation estimate objects (if available)
description_html	String	Job description as HTML (best with collectDetails enabled)
description_text	String	Job description as plain text (best with collectDetails enabled)
url	String	Levels.fyi job detail page URL
details	Object	Full job description and details (if collectDetails enabled)
_source	String	Data source identifier (always "levels.fyi")

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Usage Examples

Search for Software Engineers in Toronto

Find software engineering opportunities in a specific location with salary data.

{
  "searchQuery": "software engineer Toronto",
  "results_wanted": 50,
  "max_pages": 5,
  "collectDetails": false
}

Analyze Remote Product Manager Salaries

Collect all remote product manager positions to benchmark compensation and trends.

{
  "keyword": "product manager",
  "location": "remote",
  "results_wanted": 200,
  "max_pages": 20
}

Deep-Dive Startup Job Research

Get detailed job descriptions and company information from startup hiring.

{
  "searchQuery": "startup roles",
  "results_wanted": 100,
  "max_pages": 10,
  "collectDetails": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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Sample Output

{
  "id": "141351424356164294",
  "title": "Senior Software Engineer",
  "company": "TechCorp",
  "company_slug": "techcorp",
  "company_type": "public",
  "company_employee_count": 5000,
  "company_estimated_valuation": 10000000000,
  "company_short_description": "Leading cloud infrastructure provider",
  "company_icon": "https://cdn.levels.fyi/company_icons/techcorp.png",
  "is_promoted": false,
  "locations": ["San Francisco, CA, USA", "Remote"],
  "work_arrangement": "hybrid",
  "application_url": "https://careers.techcorp.com/jobs/se-001",
  "posting_date": "2026-02-15T10:30:00.000Z",
  "expiry_date": "2026-03-20T23:59:59.000Z",
  "min_base_salary": 180000,
  "max_base_salary": 240000,
  "base_salary_currency": "USD",
  "min_total_salary": 220000,
  "max_total_salary": 320000,
  "job_family_slug": "software-engineering",
  "employment_types": ["full-time"],
  "description_text": "Join our engineering team...",
  "description_html": "<p>Join our engineering team...</p>",
  "url": "https://www.levels.fyi/jobs?jobId=141351424356164294",
  "details": null,
  "_source": "levels.fyi"
}

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Tips for Best Results

Optimize Search Queries

• Use specific keywords: "Python developer" performs better than "developer"
• Include location for targeted results: "Data Scientist Vancouver" vs just "Data Scientist"
• Try multiple searches for comprehensive coverage (e.g., "SWE", "Software Engineer", "Backend Engineer")

Manage Collection Size

• Start small (20-50 results) to test your configuration
• Increase results_wanted gradually as needed
• Use max_pages as a safety control to avoid excessive API calls

Enable Detailed Information

• Set collectDetails: true only when you need full descriptions (significantly slower)
• For analysis, basic fields usually provide sufficient insight
• Reserve detailed collection for smaller, focused searches

Use Proxies for Scale

• Enable proxyConfiguration with RESIDENTIAL proxies for large-scale collection
• Residential proxies prevent blocking and ensure consistent results
• Not necessary for small test runs

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Proxy Configuration

For reliable large-scale collection, configure residential proxies:

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

Residential proxies rotate your IP address to mimic real user behavior, preventing detection and blocking. Datacenter proxies are faster but less reliable for this data source.

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Integrations

Connect your job data with:

• Google Sheets — Analyze salary trends and hiring patterns
• Airtable — Build searchable job databases and dashboards
• Slack — Get notifications for new opportunities in your field
• Zapier — Trigger workflows (email alerts, webhook notifications)
• Make — Create automated data processing pipelines
• Power BI — Build advanced business intelligence reports

Export Formats

Download collected data in multiple formats:

• JSON — For APIs and developers
• CSV — For spreadsheet analysis
• Excel — For business reports and presentations
• XML — For system integrations

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Frequently Asked Questions

How many jobs can I collect?

You can collect hundreds or thousands of job listings depending on your search parameters. The max_pages and results_wanted settings control the scope.

Can I search for jobs in multiple locations?

Yes. Use searchQuery to combine keywords and locations: "Software Engineer New York OR Remote" for broader results.

What's the difference between base salary and total compensation?

Base salary is just the annual wage. Total compensation includes bonuses, equity, and other benefits combined.

Why are some salaries missing?

Some employers don't publicly disclose salary ranges on Levels.fyi. These fields will be null in your dataset.

How long does collection take?

Runtime depends on results_wanted, max_pages, and whether collectDetails is enabled. Small runs usually finish in a few minutes.

Will I get blocked collecting this data?

Using residential proxies and reasonable request rates prevents blocking. The actor automatically handles retries if needed.

Can I schedule regular collections?

Yes. Set up recurring runs in Apify Console to update your job database daily, weekly, or monthly.

How fresh is the data?

Levels.fyi updates listings daily. Your data will reflect current postings at the time of collection.

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Support

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

Resources

• Apify Documentation
• Apify API Reference
• Apify Academy - Web Scraping Fundamentals
• Scheduling Recurring Runs
• Levels.fyi

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Legal Notice

This actor is designed for legitimate data collection purposes, including career research, market analysis, and talent sourcing. Users are responsible for ensuring compliance with Levels.fyi's terms of service and applicable laws. Use collected data responsibly, respect rate limits, and adhere to data privacy regulations. The developer assumes no liability for misuse of this tool.