Salary & Pay Transparency Jobs — Pay Ranges, 44 US Tech Firms
Pricing
from $1.20 / 1,000 jobs
Salary & Pay Transparency Jobs — Pay Ranges, 44 US Tech Firms
Removed after 25 Oct 2026: use Job Aggregator Scraper (northbell/job-aggregator-scraper) with Only roles with a published salary. Employer-published pay ranges at 44 US tech companies: min, max, currency, period, plus roles new or closed since your last run.
Pricing
from $1.20 / 1,000 jobs
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Salary Transparency Jobs — Published Pay Ranges at 44 Tech Companies
This Actor will be removed after 25 October 2026. The same pay ranges, from the same employers' own job boards, come from Job Aggregator Scraper with Only roles with a published salary turned on (461 companies, including the 44 here). Saved tasks, schedules and API calls that use this Actor stop working once it is removed, so please point them there.
Real pay ranges for salary benchmarking, offer checks and comp reviews, straight from the employers' own job boards. Every open role with a published pay range at 44 tech companies (OpenAI, Databricks, Waymo, Coinbase, Airbnb, Roblox, Figma, Reddit, Ramp, Harvey, Perplexity…): minimum, maximum, currency and pay period, about 6,000 ranges at any time. Run it again and you get exactly which roles are new and which have closed. $1.50 per 1,000 roles plus $0.01 a run.
| Company | Role | Location | Pay range |
|---|---|---|---|
| Airbnb | Engineering Manager, Payments | Remote - USA | $212,000–265,000 a year |
| Coinbase | Analyst, Privacy (Incident Management) | Remote - USA | $135,320–159,200 a year |
| Airbnb | Engineering Manager, Guest & Host | London | £120,000–150,000 a year |
| Coinbase | Analytics Engineer Intern | New York (hybrid) | $50 an hour |
Four of the 40 roles from the example input (Airbnb and Coinbase, 20 each) on 21 Oct 2026, 5 seconds. Ranges are the employer's own numbers, never estimates; non-US roles keep their own currency.
**Measured, not estimated:** about **$0.0053 per 1,000 roles** of Apify platform usage at 512 MB, ~12 roles/s (1706 roles in 137 s, 2026-10-06). That is our own running cost — already included in the per-role price; nothing is billed on top.Don't know which companies to watch? The Greenhouse Jobs Scraper searches 4,800 companies by job title — no company names needed — and reports exactly which matching roles are new or closed each run.
Why these companies
We tested about 110 well-known tech employers against the public Greenhouse and Ashby job-board APIs and kept the 44 where at least 30% of open roles carry a pay range (most are well above 90% — US pay-transparency laws). Companies whose boards show no ranges (e.g. Stripe, Cloudflare, Notion) are left out on purpose, so every row here is a real, employer-published number — never an estimate.
Use it for
- Compensation benchmarking — real ranges by title, level and location, refreshed daily
- Salary research and pay-transparency reporting — thousands of employer-published ranges in one dataset
- Job boards and newsletters for well-paid roles — only the new ones, every morning
- Recruiting and offer negotiation — what a company actually posts for the same role
Output
Every row has company, title, salaryMin, salaryMax, salaryCurrency, salaryInterval (year / hour…), department, team, location, locations, remote, employmentType, postedAt, isNewSinceLastRun, jobUrl, applyUrl (and description if you turn it on). Missing values are null, never guessed.
Closed roles come back as type: "closed" rows, and each company gets one free type: "company" row (openRoles, newRoles, closedRoles, netChange). A company that has moved off its board comes back as an error row and the run carries on.
Example output
One real row from a test run (long text shortened here with …):
{"type": "job","provider": "greenhouse","board": "airbnb","jobId": "8184174","title": "Account Manager","companyName": "Airbnb","department": "Business Development","team": null,"location": "London, United Kingdom","locations": ["London, United Kingdom"],"workplaceType": null,"remote": null,"employmentType": null,"postedAt": "2026-09-09T08:35:19.000Z","updatedAt": "2026-09-30T00:00:54.000Z","salaryMin": 46000,"salaryMax": 54000,"salaryCurrency": "GBP","salaryInterval": "year","salaryText": "United Kingdom Annual Pay Range","jobUrl": "https://careers.airbnb.com/positions/8184174?gh_jid=8184174","applyUrl": "https://careers.airbnb.com/positions/8184174?gh_jid=8184174","company": "Airbnb","isNewSinceLastRun": false}
Get only the new roles every morning (3 steps)
- Open this Actor in Apify Console, fill in your input, set What to return to Only … new since the last run, and click Save as a new task.
- On the task, add a Schedule — daily at 07:00, or weekly on Monday.
- Open the task's Integrations tab and connect Slack, email, Google Sheets (or Zapier / Make / a webhook). Each run then delivers only what is new.
You pay only for the new rows plus $0.01 per run, so a quiet day costs about a cent.
Pricing
$1.50 per 1,000 roles, plus $0.01 per run. Closed-role rows and errors are free. All 44 companies (about 6,000 ranges): about $9.01.
For AI agents
{} returns every role with a pay range. {"companies": ["airbnb"], "titleKeywords": "engineer"} narrows it. Rows have type: job, closed or error.
Filters on every run (10/2026): posted within the last N days, experience level (read from the title: intern → executive, also returned as a seniority column) and employment type. They only narrow what is returned — no extra requests, no extra cost.
Same core columns on every northbell job scraper (10 company-career-page scrapers + 15 job sites), so you can stack them into one table: jobId, title, company, location, remote (true / false / null), employmentType, postedAt, jobUrl, salaryMin, salaryMax, salaryCurrency, salaryInterval, isNewSinceLastRun. Unknown is null, never a guess.
Sister Actors
Any other company: Greenhouse Jobs Scraper · Lever Jobs Scraper · Ashby Jobs Scraper · Workday Jobs Scraper · Workable Jobs Scraper · SmartRecruiters Jobs Scraper · Recruitee Jobs Scraper · Personio Jobs Scraper · Breezy HR Jobs Scraper. AI labs and startups: AI Jobs Scraper.