What this robot does
RemoteOK is one of the internet's most-visited dedicated remote job boards, attracting candidates specifically searching for fully distributed work. Unlike general job boards that mix remote and in-office roles, every listing on RemoteOK is remote by definition - making it a focused signal of how companies are staffing distributed teams. Individual job posting pages on RemoteOK display the job title, hiring company, company link, salary range (when provided), a list of skill and technology tags, geographic location restrictions (worldwide, Americas-only, Europe-only, etc.), the full job description, company logo, view count, and application count.
For remote-first companies and candidates alike, this data reveals the competitive landscape of distributed work: what skills are most in demand for remote roles, what salaries remote-first companies offer, which companies are actively hiring versus dormant, and how much engagement each posting generates. HR teams at distributed companies monitor RemoteOK to benchmark their packages against active competitors. This robot extracts the full detail set from RemoteOK job listing pages for structured remote job market analysis.
What RemoteOK job data extraction enables:
- ✓ Remote salary market intelligence: RemoteOK postings frequently include explicit salary ranges - more consistently than many traditional job boards. Extract salary data across engineering, design, and marketing roles to build a remote-specific compensation benchmark.
- ✓ Skill demand tracking for distributed roles: The tag system on RemoteOK (React, Python, Customer Support, etc.) explicitly labels what skills each role requires. Extract tags across postings to quantify which technologies and competencies remote employers value most.
- ✓ Location restriction mapping: Not all remote jobs are truly global. Extract the geographic restriction field to understand which companies hire worldwide versus restricting to specific time zones or regions - critical intelligence for distributed HR teams and candidates in constrained geographies.
- ✓ Company remote hiring activity: Extract postings by company to track which organisations are actively scaling their remote workforce. Companies posting frequently on RemoteOK signal strong distributed hiring intent.
| Job Title | Company | Salary | Location | Tags | Views | Applied |
| Senior Backend Engineer | Stripe | $180k-$220k | Worldwide | Python, AWS, Docker | 2,847 | 156 |
| Product Designer | Figma | $150k-$190k | Americas | Figma, UI/UX, Design Systems | 1,923 | 89 |
| DevOps Engineer | GitLab | $140k-$180k | Europe | Kubernetes, Terraform, AWS | 1,564 | 73 |
| Full Stack Developer | Automattic | $120k-$160k | Worldwide | JavaScript, React, Node.js | 3,201 | 142 |
| Data Analyst | Zapier | $110k-$150k | Americas | SQL, Python, Analytics | 987 | 58 |
No account required. The robot reads RemoteOK's public listing pages and extracts every structured field from the posting.
- A free Browse AI account (no credit card required).
- The direct URL of a specific RemoteOK job listing page.
1
Sign up for free
Create your Browse AI account in under a minute. No credit card required. You will find this prebuilt robot in the robot library ready to use.
2
Open a RemoteOK job listing and copy the URL
Browse or search RemoteOK for the role you want to extract. Click the job listing to open its detail page - the URL will contain the specific job identifier. Copy this URL from the address bar.
3
Run the robot
Click run. The robot reads the RemoteOK listing page and extracts the job title, company name, company link, stated salary range, skill and technology tags, geographic restriction, full job description, logo, view count, and application count into a structured record.
4
Connect integrations or export your data
Your remote job posting data is ready for analysis. Export salary ranges across categories to build a remote compensation database, aggregate skill tags to identify which technologies are hottest in the distributed workforce, or monitor specific companies on RemoteOK to track their hiring velocity and team growth areas.
What can you do with RemoteOK job detail data?
Remote job posting data supports distributed HR teams, candidates, and market researchers:
- Remote compensation benchmarking: Extract salary data from RemoteOK postings for roles equivalent to yours. Build a dataset of remote-specific pay ranges that reflects the distributed market rather than office-centric survey data.
- Skill demand analysis for remote work: Extract skill tags across engineering or design postings. Understand which languages, frameworks, and tools remote-first companies prioritise - useful for training investment decisions and career planning.
- Geographic restriction analysis: Some candidates and companies operate in specific time zones. Extract location restriction fields to understand how many RemoteOK postings are truly global versus region-constrained for hiring strategy and candidate targeting.
- Competitor remote hiring monitoring: Extract job postings from named competitors on RemoteOK. Track which teams they are building remotely and what packages they offer to inform your own talent retention strategy.
- Remote job market trend tracking: Schedule regular extractions across RemoteOK categories. Track whether remote posting volume is rising or falling in your sector, and which roles are transitioning to or from distributed work.
- Candidate job research: Job seekers targeting remote roles can extract full descriptions from target companies. Structured data makes it easier to compare requirements, salary ranges, and benefits across multiple opportunities simultaneously.
🏠
Remote-first HR teams
Benchmark your distributed compensation against active market postings. Extract RemoteOK salary data to validate your pay bands for remote roles.
💻
Software engineers
Research remote engineering salaries and skill demand. Extract postings across your stack to understand where the market values your expertise.
📊
Workforce analysts
Track distributed hiring trends with structured data. Extract RemoteOK postings over time to map the evolution of remote work demand.
🔍
Talent researchers
Monitor competitor remote hiring activity. Extract postings by company to understand their distributed team growth strategy.
Each RemoteOK listing page provides:
| Field | What it contains |
| Job Title | Position title as listed by the employer. |
| Company Name | Hiring organisation name. |
| Company Link | Direct URL to the company's RemoteOK profile or website. |
| Location | Geographic eligibility (worldwide, Americas, Europe, specific country, etc.). |
| Salary | Stated minimum and maximum compensation (where disclosed). |
| Logo | Company logo image displayed on the job posting. |
| Tags | Technology and skill labels attached to the posting. |
| Description | Full text of the role description and requirements. |
| Views | Number of times the job listing has been viewed. |
| Applied | Number of candidates who have applied to the posting. |
Remote-specific job data including salary ranges and geographic restrictions that general job boards rarely surface consistently.
Frequently asked questions
Do all RemoteOK postings include a salary range?
No. Salary disclosure is voluntary. Many companies include a range, but some postings omit salary data. The robot extracts the range when present and leaves the field blank when absent.
What do location restrictions like 'Americas only' mean in practice?
Companies set these to indicate the time zones or regions where candidates must be based. 'Americas only' typically means UTC-8 to UTC-3 time zones. 'Worldwide' means no restrictions. The robot extracts the exact restriction text as stated by the employer.
Can I monitor a specific company's RemoteOK postings?
Yes. Navigate to a company's RemoteOK profile page and extract from there, or extract individual posting URLs as you discover them through search. The robot captures the company link for easy reference.
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