Levels Fyi Salary Scraper avatar

Levels Fyi Salary Scraper

Pricing

Pay per usage

Go to Apify Store
Levels Fyi Salary Scraper

Levels Fyi Salary Scraper

Scrape Levels.fyi compensation data at scale. Extract total compensation, base salary, stock grants, bonuses, and breakdown by company, level, location, and years of experience.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Donny Nguyen

Donny Nguyen

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

0

Monthly active users

2 hours ago

Last modified

Categories

Share

What does Levels Fyi Salary Scraper do?

Scrape Levels.fyi compensation data at scale. Extract total compensation, base salary, stock grants, bonuses, and breakdown by company, level, location, and years of experience. It runs on the Apify platform and delivers structured data in JSON, CSV, or Excel format, ready for analysis, integration, or automation workflows. Levels Fyi Salary Scraper handles pagination, retries, and proxy rotation automatically so you can focus on using the data.

Why use Levels Fyi Salary Scraper?

  • No coding required — configure inputs in a simple web UI and click Start
  • Export anywhere — download results as JSON, CSV, or Excel, or connect via API
  • Scheduled runs — set up recurring scrapes to keep your data fresh (hourly, daily, weekly)
  • Scalable — process hundreds or thousands of items with automatic proxy rotation and retry logic
  • Integrations — connect to Google Sheets, Slack, Zapier, Make, webhooks, and more through the Apify platform

How to use Levels Fyi Salary Scraper

  1. Navigate to the Levels Fyi Salary Scraper page on Apify Store and click Try for free
  2. Configure your input parameters (see Input Configuration below)
  3. Click Start and wait for the run to complete
  4. View results in the Output tab — use the formatted table or switch to raw JSON
  5. Download your data as JSON, CSV, or Excel, or access it via the Apify API

Input configuration

FieldTypeDescriptionDefault
Levels.fyi URLs to scrapearrayList of Levels.fyi company or search URLs to scrape (e.g., https://www.levels.fy...['https://www.levels.fyi/companies/google/salaries/software-engineer']
Company NamestringOptional company name to search for compensation data (e.g., 'Google', 'Meta', '...-
Job Title FilterstringOptional job title to filter results (e.g., 'Software Engineer', 'Product Manage...-
Maximum ResultsintegerMaximum number of compensation data entries to return.100
Use Residential ProxybooleanUse residential IPs to reduce blocking on Levels.fyi.False

Output data

The actor stores results in a dataset. Each item in the dataset represents one extracted record with structured fields. You can preview the data in the Output tab's formatted table view.

Key output fields include: Title Level, Page Title, Company Links Found, URL, Base Salary.

Example output:

{
"titleLevel": "Example Title Level",
"pageTitle": "Example Page Title",
"companyLinksFound": "https://example.com/companylinksfound",
"url": "https://example.com/url",
"baseSalary": "$99.99",
"datePosted": "2026-01-15T10:30:00Z"
}

Each run also produces an execution log with detailed information about pages processed, items extracted, and any errors encountered.

Cost of usage

Levels Fyi Salary Scraper uses Pay-Per-Event pricing (High tier). Each successfully extracted result costs approximately $0.0015 ($1.50 per 1,000 results).

On a free Apify plan ($5/month platform credit), you can extract approximately 3,333 results per month.

Example: Extracting 1,000 results would cost approximately $1.50.

Tips and advanced usage

  • Proxy configuration: This actor uses a headless browser. For sites with anti-bot protection, enable residential proxies in the input configuration for better success rates.
  • Large datasets: For runs with thousands of results, increase the memory allocation in Run Options to speed up processing. The actor automatically manages request queues and pagination.
  • Scheduled runs: Use Apify Schedules to run this actor on a recurring basis. Combined with integrations (webhooks, Google Sheets, Slack), you can build automated data pipelines that keep your datasets up to date.
  • API access: Every dataset is accessible via the Apify API. Use the REST API or official Python/JavaScript clients to integrate results directly into your applications.