RemoteOK Scraper — Remote Jobs API avatar

RemoteOK Scraper — Remote Jobs API

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from $1.00 / 1,000 results

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RemoteOK Scraper — Remote Jobs API

RemoteOK Scraper — Remote Jobs API

Scrape RemoteOK — the world's largest remote job board. Filter by skill tag, location, or company. Salary range and direct apply URL on every result.

Pricing

from $1.00 / 1,000 results

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Developer

Black Falcon Data

Black Falcon Data

Maintained by Community

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0

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2

Total users

1

Monthly active users

2 days ago

Last modified

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What does RemoteOK Scraper do?

RemoteOK Scraper extracts structured job data from remoteok.com — including salary data, contact details, company metadata, and full descriptions. It supports location filters and controllable result limits, so you can run the same query consistently over time. The actor also offers a compact output mode for AI-agent and MCP workflows.

What data can you extract from remoteok.com?

Each result includes Core listing fields (jobId, title, location, tags, salaryMin, salaryMax, salaryText, and url, and more), detail fields when enrichment is enabled (description), contact and apply information (applyUrl), and company metadata (company). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Input

The main inputs are an optional location filter and a result limit. Additional filters and options are available in the input schema.

Key parameters:

  • tag — Filter by skill or technology tag, e.g. "javascript", "python", "devops", "react". Leave blank for all recent remote jobs.
  • location — Filter jobs by geographic restriction, e.g. "usa", "europe", "worldwide". Note: many remote jobs have no location restriction.
  • company — Filter jobs by company name, e.g. "github", "stripe". Leave blank for all companies.
  • maxResults — Maximum number of jobs to return (0 = all available, up to ~96 most recent). (default: 25)
  • descriptionMaxLength — Truncate job description HTML to N characters. 0 = no truncation. (default: 0)
  • compact — Return core fields only (jobId, title, company, location, tags, salaryText, applyUrl, url, postedDate). Ideal for AI-agent and MCP workflows. (default: false)

Input example

{
"tag": "javascript",
"maxResults": 5,
"descriptionMaxLength": 0,
"compact": false
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
"jobId": "4274f4404f33f186012fc73e4638177227a39c6390eed0785f56d1b3530d3bf5",
"title": "Clinician Experience Specialist",
"company": "Nabla",
"location": "New York City",
"tags": [
"support",
"software",
"travel",
"assistant",
"financial",
"video",
"senior",
"operations",
"excel",
"health",
"healthcare",
"engineering",
"recruitment",
"educational"
],
"salaryMin": 75000,
"salaryMax": 100000,
"salaryText": "$75,000 – $100,000",
"description": "<h2><strong>About Nabla</strong></h2><p style=\"min-height:1.5em\">We are a team of entrepreneurs, clinicians and engineers committed to bringing back joy to the practice of medicine.</p><p style=\"min-h...",
"applyUrl": "https://remoteOK.com/remote-jobs/remote-clinician-experience-specialist-nabla-1130917",
"url": "https://remoteOK.com/remote-jobs/remote-clinician-experience-specialist-nabla-1130917",
"logoUrl": null,
"postedDate": "2026-03-28T00:00:33+00:00",
"isVerified": false,
"portalUrl": "https://remoteOK.com/remote-jobs/remote-clinician-experience-specialist-nabla-1130917",
"scrapedAt": "2026-03-29T10:20:04.120Z",
"source": "remoteok.com"
}

How to scrape remoteok.com

  1. Go to RemoteOK Scraper in Apify Console.
  2. Configure the input and optional location filter.
  3. Set maxResults to control how many results you need.
  4. Click Start and wait for the run to finish.
  5. Export the dataset as JSON, CSV, or Excel.

Use cases

  • Extract job data from remoteok.com for market research and competitive analysis.
  • Track salary trends across regions and categories over time.
  • Build outreach lists using contact details and apply URLs from listings.
  • Research company hiring patterns, employer profiles, and industry distribution.
  • Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
  • Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape remoteok.com?

RemoteOK Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

  • Run start: $0.005 per run
  • Per result: $0.001 per job record

Example costs:

  • 10 results: $0.015
  • 50 results: $0.055
  • 96 results (full feed): $0.101

FAQ

How many results can I get from remoteok.com?

The number of results depends on the search query and available listings on remoteok.com. Use the maxResults parameter to control how many results are returned per run.

Can I integrate RemoteOK Scraper with other apps?

Yes. RemoteOK Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use RemoteOK Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use RemoteOK Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

This actor extracts publicly available data from remoteok.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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