Levels.fyi Scraper API - Tech Salaries by Level & Company

Benchmark tech compensation, feed salary models, or research an offer with verified data from Levels.fyi — the reference for levels and pay in tech.

⚡ Scrape the full compensation ladder of any company by name or URL: one clean row per job level with median total compensation, base salary, stock grant and bonus, years-of-experience stats, submission counts, the level's meaning on the company ladder, and the whole job family's p10–p90 percentile distribution. Filter by job family and location. No login, no browser, pay per result.

What you get

One row per company × job family × level:

Field	Example
company, companySlug	Google, google
jobFamily	Software Engineer
level, levelAltName, levelTitles	L4, SWE III, ["L4", "SWE III"]
totalCompensation	308430
baseSalary / stockGrant / bonus / commission	193095 / 92186 / 23149 / 0
salaryCount, salaryCountLast12Months	58, 826
yearsOfExperienceAvg, yearsOfExperienceMedian	5.52, 5
percentWorkforce, levelDescription	20, "L3 is the new grad role at Google"
familyPercentiles	p10–p90 for total comp, base, stock, bonus
familyMedianTotalCompensation	284000
location, currency	New York City, USD
companyWebsite, companyHq, companyEmployees, companyTicker	company context on every row
levelUrl, url, matchedInput	deep links + which input produced the row

Turn on Flatten rows to get spreadsheet-ready columns (family_totalComp_p50, family_base_p90…) instead of nested objects.

Inputs

Field	Type	Default	Meaning
Company names	companyNames	["Google"]	Company names; resolved to the right Levels.fyi page automatically.
Company URLs	startUrls	—	Any Levels.fyi company page: /companies/google/salaries, a job family (.../salaries/software-engineer) or a family + location (.../salaries/software-engineer/locations/new-york-city-area).
Job families	jobFamilies	all	Only these families ("Software Engineer", "Product Manager", "Data Scientist"…).
Locations	locations	default scope	Scope the numbers to locations ("New York City Area", "Seattle Area", "India"…).
Maximum rows	maxItems	500	Total row cap — the number of results you pay for. 0 = no limit.
Flatten rows	flatten	off	Flat columns for CSV/Excel.
Input status report	emitInputStatus	on	OUTPUT lists what each input resolved to and why anything returned 0.

Examples — all live-verified

1. A company's full compensation ladder

{ "companyNames": ["Google"] }

Every job family at Google, every level: engineering, product, data, design, sales… one row per level.

2. Compare one role across companies

{ "companyNames": ["Google", "Meta", "Stripe"], "jobFamilies": ["Software Engineer"] }

The SWE ladders of three companies, side by side: L3–L8 vs E3–E8, with percentiles per family.

3. A role in one metro area

{ "companyNames": ["Google"], "jobFamilies": ["Software Engineer"], "locations": ["New York City Area"] }

NYC-scoped numbers for Google SWE levels.

4. Straight from URLs

{ "startUrls": [{ "url": "https://www.levels.fyi/companies/jpmorgan-chase/salaries/software-engineer" }] }

5. Spreadsheet export for a comp review

{ "companyNames": ["Microsoft"], "jobFamilies": ["Product Manager"], "flatten": true, "maxItems": 50 }

Why this scraper

• Complete rows — not just the headline number: base/stock/bonus split, YoE, counts, ladder meaning and family percentiles on every row.
• Every input wired — names, URLs, families and locations all actually filter the scrape.
• Honest reporting — the input_status report in OUTPUT tells you what each input returned and why anything came back empty.
• Fast and cheap — no browser: structured data read directly, hundreds of rows a minute.

FAQ

Is this legal? The Actor reads only publicly displayed aggregate statistics, the same numbers any visitor sees. No accounts, no personal data, no individual submissions. You are responsible for using the output in compliance with applicable laws and Levels.fyi's terms.

A company returns 0 rows? Check input_status in the run's OUTPUT: small companies may have too few submissions for a given family, and location filters narrow the data further. Try without filters, or pass the exact company URL.

What currency are the numbers in? The currency field says — location-scoped pages are converted by Levels.fyi to the location's currency; default pages are USD.

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Looking for more workforce data? See the rest of the family: Indeed Salaries, Glassdoor Salaries, Glassdoor Company Search, Indeed Jobs, Upwork Jobs.