RemoteOK Jobs Scraper — official public API, no login
Pricing
$1.00 / 1,000 job posting scrapeds
RemoteOK Jobs Scraper — official public API, no login
Pull open remote job postings from RemoteOK's official public API, filtered by tag (python, marketing, design, etc.): title, company, location, tags, salary range, description, apply URL, published date. No login, no proxies. Contact info is redacted from descriptions.
Pricing
$1.00 / 1,000 job posting scrapeds
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Backyard Tools
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5 days ago
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Pull open remote job postings from RemoteOK (remoteok.com) via the site's own public JSON API — the same endpoint RemoteOK's own frontend and third-party tools use (RemoteOK even lists its own "Remote OK Jobs API" on Product Hunt). No login, no proxies, nothing to fight.
Source: Remote OK. Per Remote OK's own API Terms of Service, every
output row includes the original job's url on remoteok.com so downstream use can link back
and credit Remote OK as the source.
Tested (2026-09-02)
| Tag | Jobs returned |
|---|---|
python | 100 |
javascript | 100 |
marketing | 100 |
design | 100 |
devops | 100 |
sales | 99 |
RemoteOK always returns its current pool of matching postings (capped around 100 per tag); there is no further pagination beyond that. A tag with no matching postings returns 0 items (no charge).
Remoteok API — input
{"targets": ["python", "marketing"],"maxItems": 500}
Each target is a RemoteOK tag — the same skill/role/category tags shown on remoteok.com job
listings (e.g. python, react, marketing, devops, design).
Remoteok API — output fields
One dataset item per job posting:
| Field | |
|---|---|
job_id | RemoteOK job id |
title | job title |
company | company name |
location | location label as posted (often "Worldwide" or a region) |
tags | comma-separated skill/category tags |
salary_min / salary_max | salary range if disclosed by the poster (null if not disclosed) |
description | full job description, HTML stripped to plain text |
url | the job's page on remoteok.com |
published_at | publish date (ISO 8601) |
No personal data: job description text is scanned for email addresses, phone numbers, and
street addresses, which are replaced with [redacted-email] / [redacted-phone] /
[redacted-address] before being written to the dataset (some postings include a recruiter's
direct contact details in the free-text description).
Use Cases
- Remote-salary benchmarking — aggregate
salary_min/salary_maxacross postings in a tag to see going rates - Skill-demand tracking — count postings per tag (e.g.
python,react) to see which skills are most in demand - Niche remote-job aggregation — build a job board or newsletter from a specific tag
- Company hiring monitoring — watch which companies are actively posting remote roles
Pricing
Pay per event: $1.00 per 1,000 job postings collected. Nothing else.