Remote Jobs Aggregator API
Pricing
$1.00 / 1,000 job listeds
Remote job listings from RemoteOK, Remotive, Himalayas, Jobicy and We Work Remotely as clean JSON: title, company, salary, tags, apply URL. Pay per job.
Pricing
$1.00 / 1,000 job listeds
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Developer
Joshua Smith
Maintained by CommunityActor stats
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1
Monthly active users
5 hours ago
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Which public job feeds to collect from. All five are used when nothing is selected.
[ "remoteok", "remotive", "himalayas", "jobicy", "weworkremotely"]Keep only jobs whose title, company or tags contain at least one of these words (case-insensitive), e.g. python, react, product manager. Leave empty for all jobs.
[]Keep only jobs whose category or tags loosely match one of these, e.g. programming, design, marketing, customer support, devops. Matching is fuzzy because every board uses its own category names. Leave empty for all categories.
[]Upper limit of jobs collected from each board before filtering. Boards expose between roughly 100 and 1,000 recent jobs.
Skip jobs published more than this many days ago. Use 0 for no age limit.
The same opening is often posted on several boards. When on, only the first copy of each title + company pair is kept.
Add the full job description as HTML (descriptionHtml, capped at 20,000 characters). A plain-text excerpt (descriptionText, first 2,000 characters) is always included.
Monitor mode. The ids of every job delivered are remembered in a named key-value store, so scheduled runs return only jobs not seen before. The first run returns everything; later runs return only new listings. Jobs filtered out as already seen are never billed. Every record also carries an isNew flag, whether or not this is on.
Attach the unmodified item from the source API or feed under raw. Useful when you need a source-specific field that is not part of the normalized output. Makes the dataset larger.
Name of the key-value store that remembers seen job ids for Only new items since the last run. Leave empty for the automatic name remote-jobs-aggregator-seen. Use different names to keep separate watchlists (e.g. one per keyword set). Letters, digits and dashes only.
Ids not seen in any run for this many days are dropped from the state store, which keeps it small. A job that reappears after that is reported as new again. Use 0 to keep ids forever (up to 100,000 ids, oldest dropped first).