Levels.fyi Scraper (Tech Salary & Total Compensation)

Here is one real result, with every field the actor returns:

{
  "uuid": "8b8eec02-082a-4f64-88b2-c236feff29cc",
  "company": "Google",
  "companySlug": "google",
  "title": "Software Engineer",
  "jobFamily": "Software Engineer",
  "role": "software-engineer",
  "level": "L3",
  "standardizedLevel": "L3",
  "focusTag": "Full Stack",
  "location": "New York, NY",
  "yearsOfExperience": 1,
  "yearsAtCompany": 1,
  "totalCompensation": 170000,
  "baseSalary": 150000,
  "stockGrantValue": 20000,
  "bonus": 0,
  "currency": "USD",
  "gender": null,
  "submittedDate": "2026-07-22T18:14:36.336+00:00",
  "levelMedianTotalComp": 210772,
  "levelMedianBase": 165524,
  "levelMedianStock": 34036,
  "levelMedianBonus": 11212,
  "levelSampleCount": 42,
  "companyMedianTotalComp": 287499,
  "companyLevelMedians": "L3:208961(1112);L4:289516(835);L5:412916(723);L6:643531(229);L7:954705(64);L8:1105136(11);L9:1786800(5)",
  "aiMarketPosition": "below median for this level",
  "aiNegotiationTips": [
    "Highlight your unique skills and contributions",
    "Research comparable offers from other companies",
    "Consider negotiating for additional stock options",
    "Be prepared to discuss your performance and impact"
  ],
  "aiLevelEquivalents": "Facebook E3, Amazon L4, Microsoft SDE II",
  "aiSummary": "The total compensation for this L3 Software Engineer position at Google is below the median for similar roles.",
  "pageUrl": "https://www.levels.fyi/companies/google/salaries/software-engineer",
  "source": "levels.fyi",
  "observedAt": "2026-08-20T10:30:25.993Z"
}

The most complete tech compensation scraper available. It returns every field a crowdsourced salary submission exposes (company, title, level, focus area, location, years of experience, and the full base salary, stock and bonus breakdown behind each total comp figure), plus derived per-level medians, optional company benchmark tables and an optional AI compensation insight, and gives you four filters to target exactly the records you need.

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Table of contents

• What it does
• Quickstart
• Input reference
• Output reference
• Example output record
• Run via API and CLI
• Fetch results
• Billing and limits
• FAQ and troubleshooting
• More scrapers at scrapers.lat

What it does

This actor collects crowdsourced tech total-compensation records by company, role and location. Each record is one real submission with the money split out: total compensation, base salary, annual stock grant value and bonus, tied to the company level (for example L5 or SDE II), the focus area (ML / AI, Backend, Mobile), the location, and the submitter's years of experience and years at the company.

Every record also carries the per-level medians for its role (median total comp, base, stock and bonus, plus the sample size behind them), so you can see instantly whether an offer sits above or below the level. Two optional add-ons go further: company benchmarks attach the company-wide median and the full per-level median table, and an AI compensation insight adds a market-position read, negotiation tips, comparable levels at other companies and a one-line summary.

Use it for compensation benchmarking, recruiting and sourcing, offer negotiation, and market research.

Quickstart

Give it at least a company or a role. Example input:

{
  "company": "Google",
  "role": "Software Engineer",
  "location": "New York",
  "minTotalComp": 200000,
  "maxResults": 25
}

• Company and role together pull that role at that company (richest, most records).
• Company only pulls every role at that company.
• Role only pulls the top-paying companies for that role.

Input reference

Name	Type	Required	Description	Example
company	string	one of company/role	Company to pull compensation for	Google
role	string	one of company/role	Job family to filter by	Software Engineer
location	string	no	Keep only records whose location contains this text	New York
minTotalComp	integer	no	Keep only records with total comp at or above this USD amount	200000
maxResults	integer	no	Max records to collect in the run (free plans capped at 10)	25
companyBenchmarks	boolean	no	Paid add-on, off by default. Attach the company per-level median table and company-wide median	false
aiCompInsight	boolean	no	Paid add-on, off by default. Add AI market position, negotiation tips, level equivalents and summary	false

Output reference

Name	Type	Description
uuid	string	Unique id of the compensation submission
company	string	Company name
companySlug	string	Company slug
title	string	Job title
jobFamily	string	Job family (role track)
role	string	Role slug used for the query
level	string	Company level name, for example L5 or SDE II
standardizedLevel	string	Standardized ladder level name
focusTag	string	Focus area, for example ML / AI, Backend, Mobile
location	string	Location (city, region)
yearsOfExperience	integer	Total years of experience
yearsAtCompany	integer	Years at the company
totalCompensation	integer	Total compensation in USD
baseSalary	integer	Base salary in USD
stockGrantValue	integer	Average annual stock grant value in USD
bonus	integer	Average annual bonus in USD
currency	string	Compensation currency (USD)
gender	string	Self-reported gender when public
submittedDate	string	Offer / submission date
levelMedianTotalComp	integer	Median total comp for this level and role
levelMedianBase	integer	Median base salary for this level and role
levelMedianStock	integer	Median stock grant for this level and role
levelMedianBonus	integer	Median bonus for this level and role
levelSampleCount	integer	Number of samples behind the level medians
companyMedianTotalComp	integer	Company-wide median total comp (benchmarks add-on)
companyLevelMedians	string	Per-level median comp table for this role (benchmarks add-on)
aiMarketPosition	string	AI market-position read (AI add-on)
aiNegotiationTips	array	AI negotiation tips (AI add-on)
aiLevelEquivalents	string	AI comparable-level equivalents at other companies (AI add-on)
aiSummary	string	AI one-line summary (AI add-on)
pageUrl	string	Source page URL
source	string	Data source
observedAt	string	ISO timestamp collected

Example output record

See the record at the top of this page, which shows every field populated (including both optional add-ons).

Run via API and CLI

Start a run with the Apify API:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~levels-fyi-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"company":"Google","role":"Software Engineer","maxResults":25}'

Run with the Apify CLI:

apify call scrapers_lat/levels-fyi-scraper \
  --input '{"company":"Google","role":"Software Engineer","maxResults":25}'

Fetch results

Download the dataset items once the run finishes:

$curl "https://api.apify.com/v2/datasets/DATASET_ID/items?token=YOUR_TOKEN&format=json"

Swap format=json for format=csv or format=xlsx to export to CSV or Excel.

Billing and limits

• Pay per result: you are charged for each compensation record returned.
• Events: an actor-start event, the primary compensation-record event, and two optional add-ons (company benchmarks and AI compensation insight) that are off by default and billed only when they return real data.
• Empty and failed runs are never billed.
• Free Apify plans are capped at 10 records per run; the paid add-ons are disabled on free plans.
• The actor respects your run spend limit and stops returning records once it is reached.

FAQ and troubleshooting

Do I need a company and a role? No, at least one is enough. Company plus role gives the most records; role only fans out across the top-paying companies for that role.

Why are some money fields the same across similar records? The per-level median fields describe the whole level, so records at the same level and role share them.

Can I filter by location or pay? Yes, use location for a location contains match and minTotalComp for a floor on total compensation.

Is a login or cookie needed? No. Anti-bot handling is done for you internally.

What do the add-ons add? Company benchmarks add the company-wide median and the full per-level median table. AI compensation insight adds a market-position read, negotiation tips, comparable levels and a summary.

More scrapers at scrapers.lat

Looking for related data? Browse the full catalog of company, jobs and lead-generation scrapers at scrapers.lat.

This is an independent scraper and is not affiliated with, endorsed by, or sponsored by levels.fyi.