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Remote.com Jobs Scraper

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from $0.05 / 1,000 job results

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Remote.com Jobs Scraper

Remote.com Jobs Scraper

Scrape public Remote.com job listings with compensation, departments, locations, seniority, sponsorship flags, quick apply, and apply URLs.

Pricing

from $0.05 / 1,000 job results

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0.0

(0)

Developer

Hanna Nosova

Hanna Nosova

Maintained by Community

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0

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2

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1

Monthly active users

a day ago

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Collect public Remote.com job listings with company names, departments, locations, seniority, compensation ranges, visa sponsorship flags, quick-apply indicators, and apply links.

Remote.com Jobs Scraper is built for recruiters, job-board operators, HR analysts, and remote-work newsletters that need structured job data from Remote.com without manual copy and paste.

What does Remote.com Jobs Scraper do?

Remote.com Jobs Scraper extracts structured records from public Remote.com job listings.

It can collect:

  • ✅ Job titles
  • ✅ Company names
  • ✅ Company websites
  • ✅ Departments
  • ✅ Hiring locations
  • ✅ Remote-work type
  • ✅ Seniority levels
  • ✅ Employment type
  • ✅ Travel frequency
  • ✅ Compensation minimum and maximum
  • ✅ Currency and pay frequency
  • ✅ Application deadlines
  • ✅ Visa sponsorship availability
  • ✅ Quick-apply availability
  • ✅ Job URLs
  • ✅ Apply URLs
  • ✅ Posted and updated dates

Who is it for?

Remote.com Jobs Scraper is for teams that need structured public job listing data from Remote.com.

Who is Remote.com Jobs Scraper for?

Recruiters

Track new openings from companies hiring through Remote.com.

Job-board operators

Use the dataset to enrich remote-work job boards, alerts, and weekly digests.

HR analysts

Monitor hiring activity by department, geography, seniority, and salary range.

Remote-work newsletters

Find fresh remote roles for curated email issues.

Talent intelligence teams

Watch which companies are expanding internationally and what functions they are hiring for.

Why use this Remote.com job scraper?

Remote.com publishes useful public job-board data, but manually reviewing listings is slow.

This actor turns that public information into a clean dataset that can be exported, filtered, integrated, or scheduled.

Use it when you need repeatable structured data rather than one-off browsing.

What data can you extract from Remote.com?

FieldDescription
titleJob title
companyHiring company name
companyWebsiteCompany website when available
companyLogoUrlCompany logo URL when available
departmentDepartment or function
locationHiring location or country list
remoteTypeRemote/workplace type
senioritySeniority labels
employmentTypeEmployment type
travelFrequencyTravel requirement
deadlineApplication deadline
compensationMinMinimum compensation
compensationMaxMaximum compensation
compensationFrequencyPay frequency, such as yearly
currencyCompensation currency code
currencySymbolCurrency symbol
visaSponsorshipOfferedWhether visa sponsorship is offered
quickApplyWhether quick apply is available
jobUrlRemote.com job page
applyUrlApply URL when available
descriptionOptional description snippet
postedAtPosted date
updatedAtLast updated date
sourceData source name

How much does it cost to scrape Remote.com jobs?

This actor uses pay-per-event pricing.

You pay a $0.005 start fee per run and a tiered per-result fee for saved job records. The standard BRONZE per-job price is $0.000077158, with lower per-result prices on higher Apify tiers.

Typical small tests with 25 jobs are inexpensive, and larger scheduled runs scale with the number of jobs saved.

How to scrape Remote.com jobs

  1. Open the actor on Apify.
  2. Keep the default start URL or add another Remote.com jobs URL.
  3. Add optional filters such as keyword, department, location, or seniority.
  4. Set the maximum number of jobs.
  5. Click Start.
  6. Export the dataset as JSON, CSV, Excel, XML, or HTML.

Input configuration

Start URLs

Use Remote.com job listing URLs.

The default is:

https://remote.com/jobs/all

Use query to match text across title, company, department, seniority, and location.

Examples:

  • engineer
  • sales
  • finance
  • customer support

Department filter

Use department names such as:

  • Engineering
  • Sales
  • Marketing
  • Customer Support
  • IT Services
  • Accounts & Finance

Location filter

Use country or location text such as:

  • United States
  • Germany
  • South Africa
  • Europe
  • Canada

Seniority filter

Use seniority text such as:

  • entry_level
  • mid_level
  • senior
  • manager
  • director

Limit

Use limit to control the maximum number of jobs saved.

Start small when testing.

Include description

Turn on includeDescription to fetch a best-effort description snippet from detail pages.

Leave it off for faster large runs.

Example input

{
"startUrls": [{ "url": "https://remote.com/jobs/all" }],
"query": "engineer",
"location": "United States",
"limit": 25,
"includeDescription": false
}

Example output

{
"title": "Application Support Engineer",
"company": "Example Company",
"department": "IT Services",
"location": "Germany",
"remoteType": "remote",
"seniority": ["mid_level"],
"employmentType": "full_time",
"deadline": "2026-06-30",
"compensationMin": 46000,
"compensationMax": 55000,
"currency": "EUR",
"visaSponsorshipOffered": false,
"quickApply": true,
"jobUrl": "https://remote.com/jobs/example-job",
"applyUrl": "https://remote.com/jobs/example-job",
"postedAt": "2026-06-15T14:19:41Z",
"updatedAt": "2026-06-15T14:19:41",
"source": "Remote.com"
}

Tips for better results

  • Start with the default all-jobs URL.
  • Use a low limit for the first test run.
  • Use broad keywords before narrow filters.
  • Remove filters if you receive fewer jobs than expected.
  • Schedule recurring runs to monitor new openings over time.
  • Export CSV for spreadsheets and JSON for pipelines.

Integrations

Remote.com Jobs Scraper works with Apify integrations and webhooks.

You can:

  • Send new jobs to Google Sheets.
  • Trigger Slack alerts for matching roles.
  • Feed records into Airtable.
  • Export JSON to a data warehouse.
  • Use Make or Zapier to route matching jobs to newsletters.
  • Schedule daily monitoring for specific departments.

API usage

Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/remote-dot-com-jobs-scraper').call({
startUrls: [{ url: 'https://remote.com/jobs/all' }],
query: 'engineer',
limit: 25
});
console.log(run.defaultDatasetId);

Python

from apify_client import ApifyClient
import os
client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('fetch_cat/remote-dot-com-jobs-scraper').call(run_input={
'startUrls': [{'url': 'https://remote.com/jobs/all'}],
'query': 'engineer',
'limit': 25,
})
print(run['defaultDatasetId'])

cURL

curl -X POST "https://api.apify.com/v2/acts/fetch_cat~remote-dot-com-jobs-scraper/runs?token=$APIFY_TOKEN" \
-H 'Content-Type: application/json' \
-d '{"startUrls":[{"url":"https://remote.com/jobs/all"}],"query":"engineer","limit":25}'

MCP usage

Use this actor from Apify MCP-compatible clients.

MCP URL pattern:

https://mcp.apify.com/?tools=fetch_cat/remote-dot-com-jobs-scraper

Add it in Claude Code:

$claude mcp add apify-remote-jobs https://mcp.apify.com/?tools=fetch_cat/remote-dot-com-jobs-scraper

Example MCP server JSON configuration:

{
"mcpServers": {
"apify-remote-jobs": {
"url": "https://mcp.apify.com/?tools=fetch_cat/remote-dot-com-jobs-scraper"
}
}
}

Example MCP prompts

MCP example prompts:

Example Claude Code MCP prompt:

Use the Apify MCP Remote.com Jobs Scraper to find engineering roles in Germany and summarize the top companies hiring this week.

Example Claude Desktop MCP prompt:

Use MCP to run Remote.com Jobs Scraper for jobs with visa sponsorship and prepare a CSV-ready table with title, company, location, compensation, and apply URL.

More prompts you can try:

  • "Run Remote.com Jobs Scraper for product roles and create a shortlist of companies with salary ranges."
  • "Find Remote.com jobs open to global candidates and group them by department, seniority, and compensation currency."
  • "Monitor Remote.com for senior engineering jobs every week and summarize new apply URLs for my recruiting team."

Scheduling

You can schedule this actor to run daily, weekly, or monthly.

Useful schedules include:

  • Daily engineering role monitoring
  • Weekly sales and marketing hiring reports
  • Monthly compensation trend snapshots
  • Newsletter lead collection before publishing day

Webhooks

Use Apify webhooks to trigger downstream workflows when a run succeeds.

Common webhook actions:

  • Send dataset items to a database.
  • Notify a Slack channel.
  • Start another enrichment actor.
  • Update a no-code automation workflow.

Data quality notes

The actor extracts fields available from public Remote.com job listings.

Some jobs may not include compensation.

Some jobs may not include an external apply URL.

If quick apply is available, the job URL is used as the apply destination.

FAQ

Can I use the API?

Yes. Use the Apify API examples above or connect through Apify MCP.

Can I schedule recurring monitoring?

Yes. Schedule the actor daily or weekly and export only the new rows your workflow needs.

Troubleshooting

Why did I get zero results?

Your filters may be too narrow. Remove query, department, location, or seniority and try again.

Why is compensation empty for some jobs?

Remote.com does not expose a compensation range for every public listing.

Why is description empty?

Descriptions are optional and best effort. Turn on includeDescription if you need snippets, but keep it off for faster large runs.

Legality and responsible use

This actor extracts publicly available job listing information.

You are responsible for using the data in compliance with applicable laws, Remote.com terms, and privacy rules.

Do not use scraped data for spam or discriminatory hiring practices.

You may also find these Apify actors useful:

Changelog

0.1

Initial version for public Remote.com job listings.

Support

If your run fails or you need a field that is visible on Remote.com but missing from the dataset, open an issue from the actor page and include your run ID.