Remote job search across all job boards at once
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Datapika runs one remote-only search across LinkedIn, Indeed, Glassdoor, Google Jobs, ZipRecruiter, Naukri, Bayt and BDJobs, and returns a single deduplicated list where a job posted on three boards shows as one row tagged with every source. First results arrive about 3 seconds after the run starts, and a verified run returned 95 jobs across 5 boards in 54 seconds. It costs $0.005 per job delivered, so 1,000 remote jobs cost about $5.
Eight boards, one deduplicated remote list
One Datapika run sweeps LinkedIn, Indeed, Glassdoor, Google Jobs, ZipRecruiter, Naukri, Bayt and BDJobs with the remote-only filter applied. Cross-posted jobs are collapsed before you see them: the same listing on three boards becomes one row tagged with every source. Add the posted-within filter set to 24 hours and the list contains only fresh openings.
- Remote-only filter applies across all 8 boards in a single search, with up to 5 search terms per run
- Deduplication tags each row with every board it appeared on, so you never review the same job twice
- Posted-within filter in hours keeps results inside your freshness window, such as the last 24 hours
- 200,000+ jobs scraped daily with a 90% run success rate over the last 30 days
- Global reach: Indeed covers many countries, Naukri covers India, Bayt covers the Middle East, ZipRecruiter covers the US and Canada
Salary normalization to compare offers on one column
Remote listings quote pay in different currencies and intervals: hourly on one board, monthly on another, annual on a third. Datapika returns salary min, max, currency, and interval for each job, with optional annual normalization so every offer sorts on the same yearly figure. Each row also carries the company context you need to judge an offer.
- Salary min, max, currency, and pay interval captured wherever a listing publishes them
- Optional annual normalization puts every offer on a yearly basis for direct sorting
- Company size, revenue, rating, review count, and industry included on each row
- Direct apply URL and full job description in markdown or HTML
- Export in the browser or as JSON, CSV, or via API, with no API keys needed
How to do it
- 1.Open the Datapika job board scraper at apify.com/openclawai/job-board-scraper and enter up to 5 search terms for the remote roles you want.
- 2.Enable the remote-only filter, pick your boards, and set the posted-within filter to 24 hours to keep only fresh listings.
- 3.Start the run, watch the first rows land in about 3 seconds, then export the deduplicated dataset as JSON, CSV, or through the API.
Questions, answered
How do I search for remote jobs on all job boards at once?
Use the Datapika job board scraper on Apify: one run sweeps LinkedIn, Indeed, Glassdoor, Google Jobs, ZipRecruiter, Naukri, Bayt and BDJobs with the remote-only filter on. Results are deduplicated across boards, so the same job posted in three places shows up as one row tagged with every source. First rows appear about 3 seconds after the run starts.
How do I find remote jobs posted in the last 24 hours?
Set the posted-within filter to 24 hours and every row in the result is a fresh listing. Combined with the remote-only flag, a daily run becomes a feed of new remote openings, and the engine scrapes 200,000+ jobs daily so coverage stays current. A verified run returned 95 jobs across 5 boards in 54 seconds.
How can I compare salaries across remote jobs from different job boards?
Datapika captures salary min, max, currency, and pay interval on every listing that publishes them, and optional annual normalization converts everything to a yearly figure. That lets you sort a mixed list of offers on one column instead of converting by hand. Company size, revenue, rating, and review count sit alongside each row for context.
How much does it cost to scrape remote jobs from multiple boards, and is it reliable?
Pricing is $0.005 per job delivered, so 1,000 jobs cost about $5, and no API keys are needed. The engine is used by 2,462+ people, holds a 5.0 rating on Apify, and has a 90% run success rate over the last 30 days.