RemoteOK Scraper — Remote Jobs with Salary & Skills

RemoteOK Scraper — Remote Jobs with Salary, Skills, Tags & Apply URLs

The fastest way to scrape RemoteOK remote job listings into clean, structured data. This RemoteOK scraper extracts position, company, skill tags, location/region, salary range (where the employer posts one), post date, full job description, listing URL, and direct apply URL — no login, no API key, and no coding required. Search by skill/tag or pull the complete remote-jobs feed and get analysis-ready rows in seconds.

Whether you are operating a specialized remote job board, building talent sourcing pipelines, tracking tech stack hiring trends, or benchmarking global compensation packages, this actor automates multi-tag fan-out and deep pagination seamlessly.

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⚡ At a glance

Feature	Details
Data Source	RemoteOK live public job repository
Search Modes	By skill tags (e.g. javascript, python, react, design) or latest global feed
Pagination & Volume	Automatic multi-tag fan-out unlocking 1,000+ unique job postings
Filtering	Keyword tag filtering and minimum salary threshold (minSalary in USD)
Field Normalization	HTML stripping from job descriptions, formatted salary ranges, cleaned URLs
Export Formats	Dataset (JSON, CSV, Excel, XML, RSS), Key-Value store, REST API
Execution Speed	Ultra-fast lightweight HTTP requests; runs complete in 5–30 seconds
Proxy Requirements	Datacenter proxy enabled by default for zero rate limit blocks
Platform Integration	Direct webhooks, Python SDK, Node.js SDK, Make, Zapier, n8n

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🔎 Why scrape RemoteOK?

RemoteOK is one of the largest and most established remote-first job boards in the world, featuring thousands of active listings from tech startups, scale-ups, and global distributed companies. Every listing is explicitly remote-work eligible and classified with specific technology tags, making it an exceptionally high-signal data source for recruitment, labor market analysis, and job aggregation.

Manually copy-pasting listings from the browser is tedious, error-prone, and cannot scale to ongoing monitoring.

Primary applications for RemoteOK data extraction:

• Remote job board aggregation: Automatically ingest vetted, high-quality remote tech listings into your niche board or community.
• Talent intelligence & sourcing: Identify tech companies actively expanding their distributed workforce across engineering, design, and growth.
• Salary & compensation benchmarking: Analyze posted salary floors and ceilings across specific skills, regions, and seniority levels.
• Tech stack demand monitoring: Track the shifting popularity of programming languages (e.g., rust, golang, python, typescript) and AI frameworks over time.
• Automated newsletters & alerts: Set up recurring daily runs to deliver fresh openings directly to Telegram channels, Slack groups, or Substack digests.
• Lead generation for B2B services: Discover venture-backed companies actively hiring that may need recruitment tools, developer infrastructure, or HR compliance services.

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⚖️ Comparative overview: Why use this scraper?

Requirement	Manual Browsing	General Job Scrapers	RemoteOK Scraper
Remote-Only Filtering	⚠️ Constant manual verification	❌ Office & hybrid noise included	✅ 100% remote positions guaranteed
Salary Data Parsing	⚠️ Text parsing required	⚠️ Inconsistent currency formatting	✅ Clean numerical salaryMin, salaryMax
Deep 1,000+ Pagination	❌ Manual endless scrolling	⚠️ Blocked after page 3 or 5	✅ Multi-tag fan-out retrieves 1,000+ jobs
Execution Speed	Hours of manual copying	2–5 minutes via heavy browsers	Under 15 seconds via lightweight HTTP
Apply URL Extraction	Click through each job page	⚠️ Often redirects to dead ends	✅ Direct applicant tracking system URL
Cost & Compute	High human labor cost	$0.05–$0.20 per run (heavy memory)	Minimal lightweight compute (<256 MB)

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✨ Key features

• 🎯 Dual Ingestion Architecture: Scrape specific skill tags (e.g. react, devops, sales) or ingest the entire recent job archive.
• 🔄 Unlocked 1,000+ Job Scaling: Automatic tag fan-out automatically queries across 25+ top technology verticals when large result limits are requested.
• 💵 Granular Salary Filtering: Set minSalary in USD to filter out low-compensation roles and focus exclusively on high-paying listings.
• 🧹 Pristine Plain Text: Strips HTML markup, entities, and line breaks from job descriptions to deliver clean plain text up to 5,000 characters.
• 🔗 Direct ATS Apply URLs: Captures the exact external application link (Greenhouse, Lever, Workable, Ashby) so candidates can apply directly.
• ⚡ Zero Anti-Bot Overhead: Pure HTTP datacenter extraction ensures rock-solid uptime, zero CAPTCHAs, and minimal execution costs.
• 🛡️ Built-in De-duplication: Automatically hashes unique job IDs to prevent duplicate listings when querying intersecting tags.

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📥 Input parameters

The scraper accepts flexible skill arrays, salary thresholds, and output limit parameters:

Field	Type	Default	Description
searchTerms	Array of strings	["javascript"]	Primary skill tags or role keywords to query (e.g. python, golang, designer).
tags	Array of strings	[]	Additional skill tags to query simultaneously in the same run.
minSalary	Integer	0	Minimum posted base salary in USD (e.g. 100000). Set to 0 to include all listings.
maxItems	Integer	0	Maximum total job records to collect. Set to 0 for unlimited extraction.
proxyConfiguration	Object	{ "useApifyProxy": true }	Apify Proxy configuration. Datacenter proxies are enabled by default.

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🏷️ Popular RemoteOK Skill Tags Reference

When specifying searchTerms or tags, use lowercase technology tokens. Below is a reference of the most frequently posted categories on RemoteOK:

Category	Example Tags
Frontend & Mobile	javascript, react, typescript, vue, frontend, ios, android, react native
Backend & Cloud	python, node, golang, rust, java, ruby, backend, devops, aws, docker
Data & AI	ai, machine learning, data science, analytics, sql, python, deep learning
Design & Product	design, ui, ux, product designer, product manager, figma
Marketing & Growth	marketing, seo, content, growth, social media, copywriting
Sales & Operations	sales, account executive, customer support, operations, recruiting
Web3 & Crypto	crypto, blockchain, solidity, smart contracts, web3, defi

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📋 Extracted data fields

The actor outputs clean, flat records suitable for tabular analysis and spreadsheet export.

💼 Role & organization details

Field	Description	Coverage
id	Unique alphanumeric listing identifier	🟢 High (100%)
position	Formal job title / role designation	🟢 High (100%)
company	Hiring company or organization name	🟢 High (100%)
companyLogo	Employer brand logo URL when provided	🟡 Conditional (20%)
location	Geographic eligibility / timezone restriction (e.g. Worldwide, US Only)	🟢 High (90%)
tags	Array of skill and category tags assigned to the posting	🟢 High (98%)

💰 Compensation & timestamps

Field	Description	Coverage
salaryMin	Numerical annual salary floor in USD (integer)	🟡 Conditional (25%)
salaryMax	Numerical annual salary ceiling in USD (integer)	🟡 Conditional (25%)
salaryText	Formatted human-readable salary range string (e.g. $120,000 - $160,000)	🟡 Conditional (25%)
hasSalary	Boolean flag indicating whether compensation is explicitly posted	🟢 High (100%)
date	Original publication date in ISO 8601 format	🟢 High (100%)

📝 Content & direct navigation

Field	Description	Coverage
description	Full sanitized plain text job description (HTML stripped)	🟢 High (100%)
url	Direct RemoteOK job listing URL	🟢 High (100%)
applyUrl	External applicant tracking system (ATS) or application link	🟢 High (95%)
slug	Canonical URL slug	🟢 High (100%)
scrapedAt	ISO 8601 extraction timestamp	🟢 High (100%)

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💡 Example output record

{
  "id": "1049281",
  "position": "Senior Full Stack Engineer (React / Node.js)",
  "company": "Supabase",
  "companyLogo": "https://remoteok.com/assets/img/jobs/supabase.png",
  "tags": [
    "react",
    "node",
    "typescript",
    "fullstack",
    "postgres",
    "remote"
  ],
  "location": "Worldwide",
  "salaryMin": 140000,
  "salaryMax": 180000,
  "hasSalary": true,
  "salaryText": "$140,000 - $180,000",
  "date": "2026-11-08T14:22:10.000Z",
  "description": "We are looking for a Senior Full Stack Engineer to help build the next generation of developer tooling. You will design, build, and maintain APIs and user interfaces across our web console...",
  "url": "https://remoteok.com/remote-jobs/senior-full-stack-engineer-supabase-1049281",
  "applyUrl": "https://boards.greenhouse.io/supabase/jobs/1049281",
  "slug": "senior-full-stack-engineer-supabase-1049281",
  "scrapedAt": "2026-11-10T16:30:00.000Z"
}

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🛠️ Step-by-step usage guide

1. Choose Search Criteria: Leave searchTerms empty to extract the latest global feed across all roles, or enter specific skill keywords (e.g. ["react", "node", "python"]).
2. Apply Salary Threshold (Optional): If you only want roles with verified high compensation, set minSalary to 120000.
3. Configure Volume: Set maxItems to your desired count (e.g. 250 or 1000), or leave at 0 for exhaustive collection.
4. Run Actor: Click Save & Run. The scraper completes in seconds.
5. Export & Automate: Download the dataset as JSON, CSV, or Excel, or set up a recurring hourly/daily schedule with webhook delivery.

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🏢 Architectural Pipeline: Powering a Custom Remote Jobs Platform

Building an automated aggregator or niche job site is straightforward with this actor:

1. Scheduled Extraction
   └── Apify Schedule triggers RemoteOK Scraper every 6 hours
        │
2. Intelligent Normalization
   ├── Strips HTML and normalizes job tags
   ├── Extracts direct Greenhouse/Lever application links
   └── Parses numerical salary minimums and maximums
        │
3. Automated Ingestion Webhook
   ├── Posts JSON payload to custom API or Supabase / Firebase
   ├── Syncs new listings to Airtable or Google Sheets
   └── Dispatches alerts to Telegram / Discord / Slack channels

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💻 Integration Examples

Python with Apify Client

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "searchTerms": ["python", "ai", "machine learning"],
    "minSalary": 100000,
    "maxItems": 300
}

run = client.actor("haketa/remoteok-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['position']} @ {item['company']} | {item['salaryText']} | {item['applyUrl']}")

Node.js with Apify Client

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_APIFY_TOKEN',
});

const input = {
    searchTerms: ['golang', 'kubernetes', 'devops'],
    maxItems: 200,
};

const run = await client.actor('haketa/remoteok-scraper').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();

console.log(`Extracted ${items.length} remote engineering roles.`);

cURL / REST API

curl "https://api.apify.com/v2/acts/haketa~remoteok-scraper/runs" \
  -X POST \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchTerms": ["typescript", "react"],
    "maxItems": 100
  }'

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🌍 Global Remote Work Hiring Trends & Geographic Restrictions

Remote jobs are rarely truly location-agnostic. Understanding the location field helps filter positions effectively:

• Worldwide / Anywhere: Open to candidates globally regardless of timezone. These roles typically represent async-first engineering organizations.
• US Only / Americas Timezones: Restricted to US citizens or individuals residing within UTC-4 to UTC-8. Often accompanied by higher compensation packages ($140k - $220k+).
• Europe / EMEA: Restricted to European Union, UK, or UTC+0 to UTC+3 timezones for operational synchronicity.
• APAC / Emerging Tech Hubs: Increasingly common for 24/7 customer support, cloud infrastructure operations, and localized developer relations.

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📢 Automated Alerting: Telegram & Slack Daily Digest

You can connect this scraper directly to team communication channels to create an automated daily hiring digest:

// Example: Posting newly scraped jobs to a Slack Incoming Webhook
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('haketa/remoteok-scraper').call({
    searchTerms: ['ai', 'python'],
    maxItems: 25,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();

for (const job of items) {
    const payload = {
        text: `🚀 *New Remote Role:* ${job.position} at *${job.company}*\n💰 Salary: ${job.salaryText || 'Not disclosed'}\n🔗 Apply: ${job.applyUrl || job.url}`,
    };
    await fetch('https://hooks.slack.com/services/YOUR/WEBHOOK/URL', {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify(payload),
    });
}

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🎯 Best Practices for Job Data Aggregation

1. Leverage Multi-Tag Batching: Combining complementary tags (e.g. frontend, react, typescript) allows the scraper to aggregate hundreds of distinct listings while automatically de-duplicating intersecting IDs.
2. Handle Salary Absence Elegantly: Over 70% of tech job listings globally omit explicit salary figures. Always inspect the hasSalary boolean flag to filter datasets when benchmarking compensation.
3. Automate with Schedules: Schedule the scraper to execute daily at 08:00 UTC to catch new listings posted overnight, keeping your downstream job board or newsletter consistently fresh.
4. Use Direct applyUrl: When building candidate-facing portals, route users directly to the employer's applicant tracking system URL rather than an intermediary redirect.
5. Enrich with Tech Stacks: Combine extracted tags with company domain discovery to map out modern enterprise tech stack adoptions across remote engineering teams.

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❓ Frequently Asked Questions (FAQ)

Is scraping RemoteOK legal?

Yes. The actor extracts only publicly accessible job postings provided for public indexing. It is an independent data extraction tool and is not affiliated with RemoteOK. Always review relevant local regulations regarding automated data collection.

Do I need a RemoteOK account or API key?

No. The actor connects directly to public listing feeds. No account registration, authentication tokens, or subscriptions are required.

How does the scraper reach 1,000+ jobs?

A single tag feed on RemoteOK returns up to ~100 recent listings. When you pass multiple tags or set maxItems to 1,000+ on an empty search, the actor intelligently fans out across top industry categories (engineer, developer, design, marketing, sales, crypto, ai, etc.) and de-duplicates records by job ID.

Why do some listings have empty salary fields?

RemoteOK only displays salary figures when the hiring company explicitly provides them in their posting. When an employer leaves salary undisclosed, the fields salaryMin and salaryMax remain null, and hasSalary is marked false.

What export formats are supported?

You can export results in JSON, CSV, Microsoft Excel (XLSX), XML, or access them programmatically via the Apify API.

How fresh are the extracted listings?

Every run queries live listing feeds in real time. Each record includes the employer's original date of publication and the scrapedAt timestamp of the scrape execution.

Can I monitor listings from a specific company?

While RemoteOK organizes feeds primarily by skill tag and freshness, you can ingest all listings into Apify and use simple client-side filters (e.g., item.company.toLowerCase().includes('canonical')) to isolate target companies.

How often is the RemoteOK feed updated?

RemoteOK is updated continuously throughout the day as global employers submit listings. Scheduling the actor to run every 4 to 6 hours ensures you never miss a newly posted opportunity.

Does the scraper download full company descriptions?

Yes. The complete job post description is extracted, sanitized of raw HTML tags and escaped entities, and saved in the description field for clean reading and AI text processing.

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🔗 Related Job Board Scrapers

• Seek Scraper: Extract job openings across Australia, New Zealand, and Southeast Asia.
• ZipRecruiter Scraper: Scrape North American job opportunities and employer details.
• Workana Scraper: Pull freelance and remote contractual projects across Latin America.
• Naukri Scraper: Extract enterprise hiring listings and IT job postings in India.

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📋 Changelog

Version 1.2 (2026-11)

• Deep 1,000+ pagination fan-out: Added automated multi-vertical tag fan-out when requesting 1,000+ items without explicit queries.
• Enhanced description sanitization: Stripped nested HTML tags, entities, and whitespace artifacts for cleaner LLM ingestion.
• Optimized proxy distribution: Configured datacenter proxy rotation for seamless high-concurrency batch execution.
• Fast prefill execution: Default prefill runs finish in under 10 seconds with 100% core field fill rate.

Version 1.1

• Added minSalary numerical threshold filter.
• Added de-duplication hashing across multi-tag runs.

Version 1.0

• Initial release with tag search, salary parsing, and direct apply URL extraction.