Remote Jobs Scraper

Remote job listings from two public feeds in one list: Remote OK and Jobicy.

Each job has its title, company, tags, location, salary range when given, posted date, source name and the original link. Turn on Include job description for the full text. Use Keywords to keep only the roles you want, and Only new jobs with a daily schedule to get each day's new openings.

Credit and links

• Remote OK asks that you link back to the job on Remote OK (followed link) and name Remote OK as the source. Every job here carries a source field, an attribution line and the original url. Keep them if you show the jobs publicly.
• Jobicy asks for credit, and its apply links must lead to the job page on Jobicy. The url and applyUrl of Jobicy jobs are those pages.

Notes

• The feeds update through the day; Jobicy asks for no more than one automated pass per hour, so avoid scheduling this more often than hourly.
• Salary is blank when the source gives none.

Pricing

Remote Jobs Scraper uses pay per event. You pay $0.005 to start a run and $0.0001 for each job, so 1,000 jobs cost about $0.105. There is no monthly fee. Set a maximum cost on a run and it stops cleanly when it reaches it.

Use cases

• Get a daily list of new remote jobs that match your skills.
• Feed a remote job board or newsletter with fresh listings.
• Track salary ranges and tags across remote roles.
• Compare which companies hire remotely, by keyword and country.

Use it from Python or JavaScript

Every Apify actor has an API. Replace the token with yours from the Apify Console.

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("My_agent_C/remote-jobs-scraper").call(run_input={
  "sources": [
    "remoteok",
    "jobicy"
  ],
  "keywords": [
    "engineer",
    "python"
  ],
  "maxJobs": 100,
  "onlyNew": True
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('My_agent_C/remote-jobs-scraper').call({
  "sources": [
    "remoteok",
    "jobicy"
  ],
  "keywords": [
    "engineer",
    "python"
  ],
  "maxJobs": 100,
  "onlyNew": true
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

You can also run it on a schedule, send results to Google Sheets, Zapier, Make or n8n, or call it from an AI agent through the Apify MCP server.

More questions

How do I scrape remote jobs? Pick the sources, add keywords, and run the actor. It reads the public Remote OK and Jobicy feeds and returns one combined list.

Can I get only new remote jobs each day? Yes. Turn on Only new jobs and schedule a daily run.

Does it include salaries? Yes, when the listing gives a salary range.

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