RemoteOK Jobs Scraper — fresh remote listings avatar

RemoteOK Jobs Scraper — fresh remote listings

Pricing

from $2.00 / 1,000 results

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RemoteOK Jobs Scraper — fresh remote listings

RemoteOK Jobs Scraper — fresh remote listings

Pull fresh remote job listings from RemoteOK's public API — filter by tags, search keywords, or salary. Job data changes daily, so users re-run it on a schedule. API-backed, no HTML scraping.

Pricing

from $2.00 / 1,000 results

Rating

0.0

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Developer

John Israel Lofamia

John Israel Lofamia

Maintained by Community

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0

Bookmarked

2

Total users

1

Monthly active users

a day ago

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RemoteOK Jobs Scraper — fresh remote listings, filtered

Pull the latest remote job listings from RemoteOK's public API, filtered to exactly what you want. Job data changes daily, so schedule it and get a fresh feed every morning.

What it does

  • Fetches current remote listings via RemoteOK's public JSON API — no browser, no scraping fragility
  • Tag filter: keep only jobs with ALL given tags, e.g. ["python", "react"]
  • Keyword search: full-text search across position and company
  • Salary filter: keep only jobs advertising at least X USD/year
  • Outputs: position, company, location, tags, salary range, date posted, logo, apply URL, description

Input

FieldDescription
TagsJob must have all these tags (empty = all jobs)
Search keywordse.g. python backend (empty = no filter)
Min salary (USD)Minimum advertised annual salary (0 = no filter)
Max listingsCap on results (default 100)

Output

One dataset row per listing: id, slug, URL, position, company, location, tags, salary min/max, date posted, logo, description.

Pricing

Pay-per-event: a small charge per run start plus a per-listing charge. Platform compute costs are passed through.

Notes

  • Polite single-request fetch with retries; the API is public and rate-friendly.
  • Salary data depends on what employers publish — many listings omit it.