Levels.fyi Jobs Scraper

Pull tech job listings from Levels.fyi at scale — each role arrives with base and total compensation ranges, a per-seniority-level total-comp breakdown, company intelligence (type, employee count, estimated valuation), work arrangement, locations, and a ready-to-apply link. Built for technical recruiters, compensation analysts, and job seekers who need real salary data on 33,000+ tech roles without copying numbers off the website one listing at a time.

Why This Scraper?

• Base AND total compensation on every row — minBaseSalary/maxBaseSalary and minTotalSalary/maxTotalSalary with currency, plus a per-seniority-level totalCompensationEstimates breakdown. Most job scrapers return zero salary data; this one returns four ranges and a level-by-level comp table.
• Company intelligence on every listing — company type, employee count, estimated valuation, a one-line description, and logo URL attached to each job, so you can segment by startup vs. public or by headcount without a second data source.
• 3 work-arrangement filters — Remote, Hybrid, or Office, applied server-side so you only pull the roles you want.
• 8 engineering & product disciplines — Software Engineer, Engineering Manager, Data Scientist, Data Science Manager, Product Manager, Designer, Security, and Hardware Engineer job-family filters.
• 7 seniority levels — Internship, Entry Level, Senior, Principal, Manager, Director, and Executive, so you can isolate exactly the band you're benchmarking.
• Minimum-total-compensation floor — set a dollar threshold to surface only high-paying senior and staff roles and skip everything below it.
• 3 sort modes — Relevance, Total Compensation (highest first), or Date Posted (newest first).
• Multi-keyword batch search — queue up to 50 job titles in one run; each keyword paginates independently and listings that overlap across keywords are deduplicated by job ID, so every job appears once.
• Apply links and dates on every listing — external applicationUrl, canonical Levels.fyi url, plus postingDate and expiryDate for freshness filtering.

Use Cases

Recruiting & Talent Sourcing

• Build target-company shortlists by headcount, valuation, or company type
• Find roles by discipline and seniority to match open reqs
• Track which companies are actively hiring for a given title
• Pull apply-ready links to route candidates straight to live postings

Compensation Benchmarking

• Benchmark base vs. total pay ranges across companies for the same role
• Compare per-level total-comp estimates from Internship through Executive
• Set a minimum-total-comp floor to study only senior and staff bands
• Build market pay bands by city and work arrangement

Job Seeking & Career Moves

• Surface the highest-paying roles first with Total Compensation sort
• Filter to Remote-only positions across every discipline
• Compare offers against real ranges before negotiating
• Track newly posted roles with Date Posted sort and posting dates

Market & Talent Research

• Map hiring demand by discipline, level, and location
• Spot which startups vs. public companies are scaling headcount
• Monitor remote vs. hybrid vs. office trends across the market
• Feed structured comp and company data into analytics dashboards

Getting Started

Simple keyword search

The fastest way to start — one keyword:

{
    "searchQueries": ["Software Engineer"],
    "maxResults": 100
}

Remote senior roles, highest pay first

{
    "searchQueries": ["Data Scientist", "Machine Learning Engineer"],
    "location": "Remote",
    "level": "principal",
    "sortBy": "total_compensation",
    "maxResults": 200
}

High-paying engineering roles with full filters

{
    "searchQueries": ["Software Engineer", "Engineering Manager"],
    "location": "San Francisco",
    "workArrangement": "hybrid",
    "jobFamily": "software-engineer",
    "level": "mid_staff",
    "sortBy": "total_compensation",
    "minTotalCompensation": 300000,
    "maxResults": 500,
    "includeDescription": true
}

Input Reference

Search

Parameter	Type	Default	Description
searchQueries	array	["Software Engineer"]	Job titles or keywords to search for. Each keyword runs its own search. Up to 50. Leave empty for the broadest result set for your location and filters.
location	string	""	City, region, or work arrangement to search in, e.g. "San Francisco", "London", "Remote". Combined with each keyword. Empty searches everywhere.
startUrls	array	[]	Paste full Levels.fyi job-search or individual job URLs to scrape them directly. Up to 50 per run.

Filters & Limits

Parameter	Type	Default	Description
workArrangement	string	Any	Where the role is performed: Any, Remote, Hybrid, or Office.
jobFamily	string	Any	Limit to one discipline: Any, Software Engineer, Engineering Manager, Data Scientist, Data Science Manager, Product Manager, Designer, Security, or Hardware Engineer.
level	string	Any	Seniority band: Any, Internship, Entry Level, Senior, Principal, Manager, Director, or Executive.
sortBy	string	Relevance	Result order: Relevance, Total Compensation (highest first), or Date Posted (newest first).
minTotalCompensation	integer	null	Only include jobs whose median total compensation is at least this many US dollars. Empty means no minimum.
maxResults	integer	100	Max listings to collect per keyword (or per start URL). Set to 0 for all available. The final page is always kept whole, so a small cap can return slightly more; duplicates across pages and across keywords are removed, so the count can also run slightly under.

Output

Parameter	Type	Default	Description
includeDescription	boolean	true	Include the full job description (text and HTML) for each listing. Turn off for lighter records with only titles, companies, locations, and compensation.

Output

Each job is a single flat record. Example:

{
    "jobId": "123456",
    "title": "Senior Software Engineer, Backend",
    "company": "Stripe",
    "companySlug": "stripe",
    "companyType": "Private",
    "companyEmployeeCount": "5000-10000",
    "companyEstimatedValuation": "$65B",
    "companyShortDescription": "Financial infrastructure for the internet.",
    "companyIcon": "https://logos.levels.fyi/stripe.png",
    "isPromoted": false,
    "locations": ["San Francisco, CA", "New York, NY"],
    "workArrangement": "hybrid",
    "jobFamily": "software-engineer",
    "employmentTypes": ["Full-time"],
    "minBaseSalary": 180000,
    "maxBaseSalary": 240000,
    "minTotalSalary": 320000,
    "maxTotalSalary": 480000,
    "salaryCurrency": "USD",
    "totalCompensationEstimates": [
        { "level": "L4", "totalCompensation": 350000 },
        { "level": "L5", "totalCompensation": 450000 }
    ],
    "postingDate": "2026-05-28",
    "expiryDate": "2026-07-28",
    "applicationUrl": "https://stripe.com/jobs/listing/senior-software-engineer/123456",
    "descriptionText": "We are looking for a backend engineer to...",
    "descriptionHtml": "<p>We are looking for a backend engineer to...</p>",
    "url": "https://www.levels.fyi/jobs?jobId=123456",
    "searchQuery": "Software Engineer",
    "searchLocation": "San Francisco",
    "scrapedAt": "2026-06-10T14:32:00Z"
}

Core Fields

Field	Type	Description
jobId	string	Unique Levels.fyi job ID
title	string	Job title
locations	array	Listed locations for the role
workArrangement	string	remote, hybrid, or office
jobFamily	string	Discipline slug (e.g. software-engineer); populated when full descriptions are enabled
employmentTypes	array	Full-time, Intern, Contract, etc.
isPromoted	boolean	Whether the listing is sponsored
url	string	Canonical Levels.fyi job URL

Compensation

Field	Type	Description
minBaseSalary	number	Minimum base salary
maxBaseSalary	number	Maximum base salary
minTotalSalary	number	Minimum total compensation
maxTotalSalary	number	Maximum total compensation
salaryCurrency	string	Currency code (e.g. USD)
totalCompensationEstimates	array	Per-seniority-level total-comp estimates

Company

Field	Type	Description
company	string	Company name
companySlug	string	Company slug on Levels.fyi
companyType	string	Company type (public, private, startup, etc.)
companyEmployeeCount	string	Reported employee count or band
companyEstimatedValuation	string	Estimated company valuation
companyShortDescription	string	One-line company blurb
companyIcon	string	Company logo/icon URL

Dates, Links & Context

Field	Type	Description
postingDate	string	When the job was posted
expiryDate	string	When the listing expires
applicationUrl	string	External application link
descriptionText	string	Plain-text job description (when enabled)
descriptionHtml	string	Full HTML job description (when enabled)
searchQuery	string	The keyword that produced this row
searchLocation	string	The location used for the search
scrapedAt	string	Extraction timestamp (ISO 8601)

Tips for Best Results

• Run several related titles in one batch. Levels.fyi returns at most around 200 companies' worth of jobs for a single keyword, so one keyword tops out near a few hundred listings — queue "Software Engineer", "Backend Engineer", and "Full Stack Engineer" together to widen coverage well beyond that ceiling.
• Set a minimum total compensation to isolate senior roles. A minTotalCompensation floor (e.g. 300000) filters on the median total comp, surfacing staff and principal roles without scrolling past junior listings.
• Pair a keyword with a location for sharper results — "Data Scientist" plus "New York" returns a tighter, more relevant set than either alone.
• Use Total Compensation sort when you want the highest-paying roles first and Date Posted sort when you only care about the freshest listings.
• Turn off full descriptions for lighter, faster pulls when you only need titles, companies, locations, and compensation — flip includeDescription off.
• Add a seniority level filter to benchmark a single band cleanly; combine it with a discipline to compare, say, Senior Data Scientist pay across companies.
• Paste a tuned URL into startUrls when you've already dialed in a search on the website — the scraper lifts the keyword and filters straight from the link.

Pricing

From $1 per 1,000 results — among the most affordable ways to collect Levels.fyi compensation and company data at scale. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier.

Results	No discount	Bronze	Silver	Gold
100	$0.12	$0.11	$0.11	$0.10
1,000	$1.20	$1.13	$1.07	$1.00
10,000	$12.00	$11.30	$10.70	$10.00
100,000	$120.00	$113.00	$107.00	$100.00

A "result" is one job listing pushed to your dataset. No compute or time-based charges — you pay per result, plus a small fixed per-run start fee.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This scraper collects publicly available job-listing and compensation data for legitimate research, recruiting, and analytics. You are responsible for using the data in compliance with Levels.fyi's terms of service and all applicable laws, including data protection regulations such as GDPR and CCPA. Do not use the data to harass individuals, and respect the rights of the data's original publishers. When in doubt, consult legal counsel about your specific use case.