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RemoteOK Remote Jobs Scraper

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from $11.00 / 1,000 result items

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RemoteOK Remote Jobs Scraper

RemoteOK Remote Jobs Scraper

Scrapes remote job postings from RemoteOK and returns each job as a flat row with title, company, tags, salary range, and apply link. Filter by tag, company name, or minimum salary.

Pricing

from $11.00 / 1,000 result items

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ParseForge

ParseForge

Maintained by Community

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1

Monthly active users

12 days ago

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RemoteOK Remote Jobs Scraper

Scrape remote jobs from RemoteOK by tag, company, or salary, up to a million per run. Every job comes with its title, company, tags, salary range, and direct apply link. No login or API key. Export to CSV, JSON, Excel, or XML.

RemoteOK lists thousands of remote jobs, but browsing it by hand means reloading pages and copying rows one by one. This Actor reads the public job feed directly, filters it by tag, company name, or minimum salary as it goes, and returns each match in one fixed schema. You get a clean dataset of remote job postings without writing a scraper or dealing with rate limits.

Who uses itWhat they scrape RemoteOK for
Job board operatorsBuild a niche remote job board by pulling fresh listings for specific tags
RecruitersFind companies hiring remotely for roles that match a candidate's stack
Market researchersTrack which remote roles and salary bands are trending across companies
Job seekersGet a filtered list of remote jobs that match their skills and salary floor

What it does

This Actor collects remote job postings from RemoteOK and returns each one as a flat row with title, company, tags, salary range, and apply link.

  • ๐Ÿท๏ธ Tag filters: pass one or more tags like javascript, react, python, or senior; jobs are kept if any tag overlaps.
  • ๐Ÿข Company filter: substring match on company name, case-insensitive, so you can pull every role from one employer.
  • ๐Ÿ’ฐ Salary floor: set a minimum annual salary in USD; only jobs whose declared salary_max meets it are returned.
  • ๐Ÿ”ข Item cap: limit results from 1 to 1,000,000 jobs per run, with a 10-item preview for free users.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with RemoteOK data

๐Ÿ“Š Track remote hiring trends.

A market researcher runs the Actor weekly with tags like ai, ml, and data, then charts which companies are hiring and what salary bands they post.

๐ŸŽฏ Build a niche job board.

A developer runs the Actor daily with tags like react and remote, then publishes the fresh rows to a filtered job board for their community.

๐Ÿ”Ž Source candidates for a role.

A recruiter sets a company name filter to pull every open remote role at a target employer, then cross-references the tags with their candidate pool.

๐Ÿ’ผ Find jobs above a salary floor.

A job seeker sets minSalary to 120000 and tags to senior, then exports the matching rows to a spreadsheet for a focused application list.

Why choose this scraper

What you get
No API keyReads the public RemoteOK feed directly, no registration or OAuth
One flat schemaEvery job returns the same fields, ready for CSV, JSON, Excel, or XML
Filter before exportTags, company, and salary filters cut noise before you download
Scales to a millionPaid users can pull up to 1,000,000 jobs in a single run

How it compares

No other Store actor targets RemoteOK the same way, so the honest comparison is with the alternatives teams actually weigh.

RemoteOK Remote Jobs ScraperBuild it in-houseBy hand
SetupRun it now, zero configDays of engineeringNone, but hours per pull
When RemoteOK changesMaintained for youYou fix itYou re-learn the page
Proxies, retries, anti-botBuilt inYour problemBrowser only
OutputFixed JSON schema, CSV/Excel exportWhatever you buildCopy-paste
CostPay per resultEngineering timeAnalyst hours

Configure the run

Drive the Actor with tags, a company name substring, and a minimum salary, alone or together, and filters run as each job is read so only matches reach your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
"maxItems": 10
}

A larger pull:

{
"maxItems": 200
}

Pricing

Pay-per-result: $0.01467 per result collected. You pay only for the results written to your dataset.

Results collectedApproximate cost
100 results$1.47
1,000 results$14.67
10,000 results$146.70

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

  1. Create a free Apify account with $5 in credit.
  2. Open the RemoteOK Remote Jobs Scraper.
  3. Set your inputs and any filters, then click Start.
  4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to RemoteOK through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/remoteok-jobs-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Check your filters. If you set a minSalary, jobs without a salary are excluded. If you set tags, only jobs with an overlapping tag are kept. Try removing filters one at a time to see which one is cutting everything.

Why did I only get 10 items?

Free users are limited to a 10-item preview. Upgrade to a paid plan and set maxItems to a higher number to pull more jobs.

Why is my company filter not matching anything?

The companyName filter is a case-insensitive substring match. Make sure you are using a substring of the actual company name as it appears on RemoteOK, not a full legal name or abbreviation.

Why are some jobs missing their salary?

RemoteOK does not list a salary for every job. The Actor returns whatever salary data is present, and jobs without a salary are excluded when you set minSalary.

Can I get more than 1,000,000 jobs?

The maxItems input is capped at 1,000,000 per run. If you need more, split your request by tags or run the Actor multiple times with different filters.

FAQ

QuestionAnswer
Do I need a RemoteOK API key?No. The Actor reads the public RemoteOK job feed directly, so there is no registration, OAuth, or key to manage.
How many jobs can I scrape in one run?Free users get a 10-item preview. Paid users can set maxItems up to 1,000,000 jobs per run.
Can I filter by multiple tags at once?Yes. Pass an array of tags, and a job is kept if any of its tags overlaps your list. When exactly one tag is supplied, the Actor uses a server-side filter for speed.
How does the minimum salary filter work?Set minSalary to a USD amount. Only jobs whose declared salary_max meets or exceeds that amount are kept. Jobs without a salary are excluded.
Can I filter by company name?Yes. The companyName input is a case-insensitive substring match, so 'google' matches 'Google LLC' and 'Google Cloud'.
What output formats are supported?The Actor exports to CSV, JSON, Excel, and XML, so you can load the results into spreadsheets, databases, or downstream tools.
Does the Actor return the apply link for each job?Yes. Each row includes the direct apply link from the RemoteOK listing, so you can jump straight to the application.
Is the data live or cached?The Actor reads the RemoteOK feed at run time, so you get the jobs that are live when the run starts.
Can I schedule this Actor to run daily?Yes. You can set up a schedule on Apify to run the Actor at any interval, then export or push the results to your own system.
What if a job has no salary listed?The salary fields will be empty in the output. If you set a minSalary, jobs without a salary are excluded from the results.

Browse the full ParseForge collection for more scrapers.

๐Ÿ†˜ Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

โš ๏ธ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by RemoteOK. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.