Get salary data from job postings for live market research
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Datapika pulls salary data from live job postings across LinkedIn, Indeed, Glassdoor, Google Jobs, ZipRecruiter, Naukri, Bayt and BDJobs in one run, with salary min, max, currency and pay interval captured on every row. Salaries can be normalized to annual figures so hourly, monthly and yearly postings compare directly, and each row also carries company size, revenue band and industry for segmentation. The engine scrapes 200,000+ jobs daily and charges $0.005 per job delivered, so a 1,000-row salary dataset costs about $5.
Salary fields built for comparison, not just collection
Raw postings quote pay in different units: hourly rates, monthly bands, annual ranges, different currencies. Datapika structures all of it into consistent fields and can normalize every figure to an annual equivalent, so a $45 per hour contract and a $95,000 salaried role sit in the same column ready for percentile math.
- Salary min, max, currency and interval (hourly, monthly, annual) on every row where the posting publishes pay
- Optional normalization to annual figures for direct cross-posting comparison
- Company size, revenue band, industry and employee rating on the same row, so you can segment pay by employer profile
- Cross-board deduplication: a job posted on three boards becomes one row tagged with every source, keeping averages honest
- Glassdoor adds salary bands and company ratings; Naukri adds experience ranges for the India market
Export thousands of rows to CSV in minutes
Salary research needs volume and freshness, and Datapika delivers both cheaply. A verified run returned 95 jobs across 5 boards in 54 seconds, first rows land about 3 seconds after start, and every run exports straight to CSV, JSON or the API with no API keys to manage.
- $0.005 per job delivered: a 1,000-row dataset costs about $5, and pricing scales linearly from there
- Filter by posted within N hours to study only current market rates, plus remote-only, job type and distance radius filters
- Run up to 5 search terms at once to cover related titles like data analyst, data scientist and analytics engineer in one sweep
- Download the dataset in the browser or pull it by API into a spreadsheet, notebook or BI tool
- 2,462+ users, a 5.0 rating on Apify and a 90% run success rate over the last 30 days
How to do it
- 1.Open the Datapika job search engine on Apify and enter up to 5 search terms for the roles you want to price, plus a location or remote-only filter.
- 2.Set a posted-within window (for example the last 168 hours) and run the sweep across all 8 boards, enabling annual salary normalization in the input.
- 3.Export the deduplicated dataset to CSV or JSON and compute medians, ranges and percentiles by title, location or company size in your analysis tool.
Questions, answered
How do I get salary data from job postings?
Run a Datapika search on Apify with your target job titles and location. Every returned row includes salary min, max, currency and pay interval where the posting publishes pay, drawn from up to 8 boards at once. Results cost $0.005 per job and export to CSV, JSON or the API.
Can I compare salaries listed as hourly, monthly and annual?
Yes. Datapika records the original interval and currency on each row and offers optional normalization to annual figures. That puts an hourly contract rate and a yearly salaried range in the same unit, so medians and percentiles are computed on comparable numbers.
Which job boards include salary information in postings?
Coverage varies by board and posting, so sweeping all 8 boards in one run maximizes the share of rows with pay data. Glassdoor is the strongest source for salary bands and also returns company ratings, while Indeed offers the most reliable volume across many countries. Duplicate postings are merged into one row, so the same job never counts twice in your averages.
How much does it cost to build a salary dataset from job postings?
Datapika charges $0.005 per job delivered, so 1,000 jobs cost about $5. The engine scrapes 200,000+ jobs daily, and a verified run returned 95 jobs across 5 boards in 54 seconds, so even a multi-thousand-row salary study finishes in minutes for a few dollars.