tacps126 logoTapaswai Choudhary (tacps126)
Job Salary Data Scraper: Pay from Job Postings icon

Job Salary Data Scraper: Pay from Job Postings

Scrape salary ranges from real job postings on company career sites - min, max, currency, period and a yearly figure. Filter by title, country, seniority, minimum pay. For compensation benchmarking and pay research.

$2 per 1,000 jobupdated 2026-11-06
Run it on Apify Build the input See the output
Try it

Build the input, get the call

Change any field; the code on the right follows. Copy it, or run the same input on Apify.

Leave empty to scan the built-in company directory. Or type company names (`Datadog`, `Ramp`) to scan only those - each is looked up on every supported job board system.

Or paste careers pages - the company's own (`https://www.figma.com/careers`) or its job board (`https://jobs.lever.co/palantir`). The job board behind the page is found automatically.

With no company given: how many directory companies to scan in one run (biggest boards first).

Maximum number of jobs to return.

Cap per company so one big employer can't fill the list. Directory scans default to 10.

Filters

Keep a job only if its title contains any of these words (case-insensitive), e.g. `engineer`, `developer`.

Drop a job whose title contains any of these words (case-insensitive), e.g. `intern`, `manager`.

Keep only jobs in these countries: 2-letter codes (`US`, `GB`, `DE`, `IN`) or names. The country comes from the board when it gives one, otherwise from the location text.

Keep a job only if its location contains any of these (case-insensitive), e.g. `Berlin`, `Remote`.

Keep only jobs posted in the last N days. Jobs whose board doesn't publish a date are kept.

Keep only remote jobs (uses the normalized `workMode`; requires Enrich).

Keep only these work arrangements. Jobs whose posting doesn't state it are dropped when this is set.

Keep only these employment types.

Keep only these seniority levels.

Keep only these job functions (engineering, data, sales, ...).

Keep a job only if its title, description or skills mention any of these, e.g. `Kubernetes`, `Python`, `SQL`.

Drop jobs from companies whose name contains any of these, e.g. staffing agencies.

Keep jobs paying at least this per year (hourly and monthly pay are converted), in the posting's currency. Jobs that don't publish pay are kept unless "Only jobs with salary" is on.

Keep only jobs whose posting says visa sponsorship is available.

Open each job's own page for extra fields where the list is thin (e.g. LinkedIn: full description, seniority, employment type, applicant count). Slower - one extra request per job - and only done for jobs that pass your filters.

Monitoring

Emit only jobs that no earlier run with the same sources (or the same state key) has already delivered. Ideal for scheduled runs - you pay only for new results.

Return only jobs that are new, changed or closed since the last run with the same input (or monitor name): changed jobs carry `changeType: "changed"` and `changes` with the old and new salary, location, title or work mode; jobs taken down...

Some marketplaces pay referral bonuses. When available, jobs get an extra `referralUrl` that may credit the Actor's maintainer. Job links and `applyUrl` are never changed. Turn off to omit the field.

Output

What you get back

The fields every row has.

FieldWhat it holds
titleJob title
company / companySlugCompany name and its board handle
location / locationsLocation as listed, and every listed location
city / region / country / countryCodeStructured location (ISO country code)
workMode / remoteremote, hybrid or onsite - only when the posting says so
employmentTypefull_time, part_time, contract, internship, temporary, freelance
seniorityintern, junior, mid, senior, lead, principal, director, executive
yearsExperienceMin / yearsExperienceMaxRequired experience, when stated
jobFunctionEngineering, data, product, design, sales, marketing, AI training, ...
skillsSkills named in the posting
salary{min, max, currency, period, annualMin, annualMax} when pay is published
educationLevel / visaSponsorshipDegree asked for, and visa sponsorship when stated
department / teamOrganization details, when available
summary / descriptionShort summary and full description
url / applyUrlPosting and apply links
postedAtIso / postedDaysAgoPosting date (ISO 8601) and its age in days
source / scrapedAtWhere the job came from and when it was collected

Download as JSON, CSV, Excel or XML from the run, or have it sent to Google Sheets, Slack or a webhook.

Guide

How Job Salary Data Scraper works

Inputs, options and tips, from the tool's own documentation.

Salary ranges published in real job postings - as a clean, spreadsheet-ready dataset. Pay-transparency laws mean more employers publish salary ranges. This Actor reads company job boards and keeps only postings that state pay, with the range converted to a yearly figure in its currency - ready for compensation benchmarking.

Export to JSON, CSV or Excel, send to Google Sheets or your database, or call it as an API from your own app or AI agent.

Built for compensation and HR analysts, recruiters pricing roles, job seekers negotiating offers, salary-data products, and researchers studying pay transparency.

Why this scraper

  • Straight from the employer. Jobs come from companies' own job boards, so they're current, complete and link to the real application page.
  • No setup. Press Start with no input and it scans a directory of verified company boards. Or name companies, or paste their careers pages - the job board behind each page is found for you.
  • One clean format. Structured city/region/country (ISO code), remote/hybrid/on-site, employment type, seniority, experience, job function, skills, and salary converted to a yearly figure.
  • Monitoring built in. Only new jobs returns just postings earlier runs haven't delivered; Changes only adds changed and taken-down jobs. You pay only for what's new.
  • Fast and cheap to run. Quick to run. Rate limits and server hiccups are handled automatically, and a run never double-charges if it's restarted.
Every job publishes pay: salary has min, max, currency and period, plus annualMin / annualMax for comparison.

How to use it

  1. Press Start to scan the built-in company directory, or fill Company names / Career page URLs to scan only those companies.
  2. Narrow results with the Filters: title words, countries, posting age, work mode, seniority, job function, skills mentioned, minimum salary, visa sponsorship, companies to skip.
  3. Download results from the Output tab, or connect Slack, Google Sheets, Zapier, Make or a webhook.

Example input

json
{
  "titleIncludes": [
    "data scientist"
  ],
  "countries": [
    "US"
  ],
  "seniorities": [
    "senior"
  ],
  "minAnnualSalary": 150000,
  "maxItems": 1000
}

Monitor new jobs on a schedule

Turn on Only new jobs and schedule the Actor (hourly, daily, weekly). Each run returns only postings earlier runs haven't delivered, and you're charged only for those.

Use it as an instant API

The Actor also runs in Standby mode - an always-ready endpoint that returns jobs in the response. Find the URL on the Standby tab:

bash
curl "https://<standby-url>/?titleIncludes=engineer&maxItems=20" \
  -H "Authorization: Bearer <YOUR_APIFY_TOKEN>"

Pricing

Pay per result: $2 per 1,000 jobs plus a small start fee per run. Filtered-out, duplicate and (with Only new jobs) already-seen jobs are free. See the Pricing tab for exact rates, and set a maximum charge per run to cap spend.

On Apify's free plan each run returns up to 500 jobs. Any paid Apify plan removes the limit.

Questions

Questions about Job Salary Data Scraper

Where does the salary come from?

From the posting itself - a pay field on the job board or the range written in the description (e.g. "$140,000 - $180,000 per year"). Hourly and monthly pay is converted to annualMin / annualMax so roles compare directly. Nothing is estimated.

Which countries have the most data?

The US (several states require pay ranges in postings), Canada, the UK and the EU. Use Countries to choose.

Is it legal?

The Actor collects publicly listed job postings. You're responsible for how you use the data - for personal data in descriptions, follow the laws that apply to you (e.g. GDPR).

How much does Job Salary Data Scraper cost?

$2 per 1,000, charged only for jobs returned; a run that finds nothing costs nothing. It runs on Apify, whose free plan includes monthly credit, so you can try it without paying.

Do I need to write code?

No. Fill in the form on Apify and press Start, schedule it, or send the results to Google Sheets, Slack or a webhook. For code, the input builder on this page writes the API call in curl, Python or JavaScript.

What does Job Salary Data Scraper return?

Every row has the same fields, including title, company / companySlug, location / locations, city / region / country / countryCode, workMode / remote, employmentType, seniority, yearsExperienceMin / yearsExperienceMax. Download as JSON, CSV, Excel or XML.

Can it run on a schedule and return only new results?

Yes. Schedule it on Apify (hourly, daily, weekly) and turn on the only-new option: each run then returns only what appeared since the last run with the same input.

Pairs well

Pairs well with

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Use cases

What people use Job Salary Data Scraper for

  • Benchmark pay for a role and city
  • Check pay transparency compliance
  • Build salary guides and comp reports

Also searched as

salary data API pay transparency data salary ranges from job postings compensation benchmarking data job salary scraper salary by role and location

Categories

Jobs and hiring Jobs Lead generation