Collect normalized RemoteOK jobs from its public feed, filter by role, location, benefits, or salary, and schedule a repeatable monitoring workflow on Apify.
Opens the matching public Apify Store listing in a new tab.
Reviewed against the Newbs actor documentation and schema on August 17, 2026. Marketplace behavior and pricing can change, so confirm the live listing before a production run.
Choose a narrow question before scheduling anything: new Python jobs worldwide, engineering roles above a salary floor, companies mentioning async work, or the newest design roles. A focused input produces a dataset that is easier to compare over time.
Use tag for the role or skill, location for geographic language, benefits for terms such as async or equity, and minimumSalary when only jobs with a qualifying annual USD range should remain.
The current actor reads RemoteOK's public JSON feed and normalizes the results instead of driving a browser. That reduces page-rendering overhead and makes the workflow suitable for recurring monitoring.
The actor still applies its own filtering, sorting, normalization, result limits, and no-match diagnostics before rows are written to the Apify dataset.
Use remoteOkId as the primary source identifier and keep jobLink as a reviewable source URL. For historical monitoring, add the Apify run start time or your ingestion timestamp rather than overwriting the first observation of a job.
A daily snapshot can then distinguish newly observed jobs, persistent listings, salary changes, and removed listings without relying only on a job title and company name.
After the test run returns the expected rows, save the input as an Apify Task. Schedule it at the cadence your team can actually review; daily is useful for alerts, while weekly is often enough for market research.
Use a webhook or downstream automation to read the completed dataset, deduplicate remoteOkId values, and send only new matches to the destination.
When no jobs match the filters, the actor writes a diagnostic item containing the selected filters. Treat that as a valid no-match result, not as a new job and not automatically as a source failure.
Validate the input and output on a small run first. Save a Task, schedule it, or connect the dataset only after the collected fields match the decision you need to make.
This example looks for high-salary engineering roles and sorts the results by salary.
{
"tag": "engineer",
"location": "Worldwide",
"benefits": "",
"minimumSalary": 80000,
"numberOfResults": 10,
"orderBy": "salary_high"
}Salary fields are present only when the source listing exposes them.
{
"title": "Senior Backend Engineer",
"employerName": "Example Company",
"jobDatePosted": "2026-06-05T10:00:00.000Z",
"jobLink": "https://remoteok.com/remote-jobs/example",
"salaryMin": 80000,
"salaryMax": 120000,
"jobLocation": "Worldwide",
"remoteOkId": "123456",
"source": "RemoteOK"
}These workflows benefit from repeatable cloud scraping, scheduling, dataset exports, and API access.
Extract RemoteOK remote job listings for recruiting workflows, distributed-team research, salary benchmarking, and job-market monitoring.
View current listing on ApifyAfter the first run, save the input, schedule recurring runs in Apify, and connect the dataset output to your spreadsheet, CRM, dashboard, or AI workflow.
Continue with the matching actor page and closely related Newbs workflow guides.
No. The current actor reads RemoteOK's public JSON feed and normalizes the jobs before saving them to an Apify dataset.
Store remoteOkId values in the destination and notify only when a completed run contains an identifier you have not seen before.
The actor writes a diagnostic item with the selected filters so the workflow can distinguish a valid empty result from a failed run.
Use the Newbs RemoteOK Premium Job Scraper to filter the public RemoteOK feed, export normalized jobs, and schedule the same input without maintaining a browser scraper.
Run this workflow on ApifyAffiliate disclosure: Newbs may earn a commission from an eligible referral, at no additional cost to you.