Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Search for jobs across LinkedIn, Indeed, Glassdoor, ZipRecruiter, Google Jobs, Bayt, Naukri, and BDJobs using the JobSpy MCP server.
Search for jobs across LinkedIn, Indeed, Glassdoor, ZipRecruiter, Google Jobs, Bayt, Naukri, and BDJobs using the JobSpy MCP server.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
This skill enables AI agents to search for jobs across multiple job boards using the JobSpy MCP Server. JobSpy aggregates job listings from LinkedIn, Indeed, Glassdoor, ZipRecruiter, Google Jobs, Bayt, Naukri, and BDJobs into a unified interface.
Use this skill when the user asks you to: Find job listings matching specific criteria (role, location, company, etc.) Search for remote or on-site positions Compare job opportunities across different platforms Get salary information for job postings Find recently posted jobs (within X hours) Search for jobs with "Easy Apply" options
Python 3.10+ Node.js 16+ (for some server implementations) The JobSpy MCP server installed and configured
# Install with pip pip install mcp>=1.1.0 python-jobspy>=1.1.82 pandas>=2.1.0 pydantic>=2.0.0 # Or install with uv (faster) uv add mcp python-jobspy pandas pydantic
# Clone the jobspy-mcp-server repository git clone https://github.com/chinpeerapat/jobspy-mcp-server.git cd jobspy-mcp-server # Install dependencies uv sync # or pip install -e .
Add the following to your Claude Desktop config file (~/Library/Application Support/Claude/claude_desktop_config.json on macOS): { "mcpServers": { "jobspy": { "command": "uv", "args": ["run", "jobspy-mcp-server"], "env": {} } } } Alternative configuration (Node.js server): { "mcpServers": { "jobspy": { "command": "node", "args": ["/path/to/jobspy-mcp-server/src/index.js"], "env": { "ENABLE_SSE": "0" } } } }
Search for jobs across multiple job boards with comprehensive filtering. Parameters: ParameterTypeRequiredDefaultDescriptionsearch_termstringβ Yes-Job keywords (e.g., "software engineer", "data scientist")locationstringNo-Job location (e.g., "San Francisco, CA", "Remote")site_namearrayNo["indeed", "linkedin", "zip_recruiter", "google"]Job boards to searchresults_wantedintegerNo15Number of results (1-1000)job_typestringNo-Employment type: fulltime, parttime, internship, contractis_remotebooleanNofalseFilter for remote jobs onlyhours_oldintegerNo-Filter by posting recency in hoursdistanceintegerNo50Search radius in miles (1-100)easy_applybooleanNofalseFilter jobs with easy apply optioncountry_indeedstringNo"usa"Country for Indeed/Glassdoor searcheslinkedin_fetch_descriptionbooleanNofalseFetch full LinkedIn descriptions (slower)offsetintegerNo0Pagination offsetverboseintegerNo1Logging level (0=errors, 1=warnings, 2=all) Supported Values for site_name: linkedin - Professional networking platform (rate limited) indeed - Largest job search engine (most reliable) glassdoor - Jobs with company reviews and salaries zip_recruiter - Job matching for US/Canada google - Aggregated job listings bayt - Middle East job portal naukri - India's leading job portal bdjobs - Bangladesh job portal Supported Values for job_type: fulltime parttime internship contract
Returns the complete list of supported countries for job searches. No parameters required.
Returns detailed information about all supported job board sites. No parameters required.
Returns tips and best practices for effective job searching. No parameters required.
When jobs are returned, each job post contains the following fields: interface JobPost { // Core fields (all platforms) title: string; // Job title company: string; // Company name company_url?: string; // Company website URL job_url: string; // Direct link to job posting location: { country?: string; city?: string; state?: string; }; is_remote: boolean; // Whether job is remote description?: string; // Job description (markdown format) job_type?: "fulltime" | "parttime" | "internship" | "contract"; // Salary information salary?: { interval?: "yearly" | "monthly" | "weekly" | "daily" | "hourly"; min_amount?: number; max_amount?: number; currency?: string; salary_source?: "direct_data" | "description"; // Parsed from posting }; date_posted?: string; // ISO date string emails?: string[]; // Contact emails if available // LinkedIn specific job_level?: string; // Seniority level // LinkedIn & Indeed specific company_industry?: string; // Indeed specific company_country?: string; company_addresses?: string[]; company_employees_label?: string; company_revenue_label?: string; company_description?: string; company_logo?: string; // Naukri specific skills?: string[]; experience_range?: string; company_rating?: number; company_reviews_count?: number; vacancy_count?: number; work_from_home_type?: string; }
User Prompt: "Find me 10 software engineer jobs in San Francisco" MCP Tool Call: { "tool": "scrape_jobs_tool", "params": { "search_term": "software engineer", "location": "San Francisco, CA", "results_wanted": 10, "site_name": ["indeed", "linkedin"] } } Expected Output: { "jobs": [ { "title": "Software Engineer", "company": "TechCorp Inc.", "location": { "city": "San Francisco", "state": "CA" }, "job_url": "https://indeed.com/viewjob?jk=abc123", "salary": { "min_amount": 120000, "max_amount": 180000, "interval": "yearly" }, "job_type": "fulltime", "is_remote": false } // ... more jobs ], "total_found": 10 }
User Prompt: "Search for remote Python developer positions from Indeed and ZipRecruiter" MCP Tool Call: { "tool": "scrape_jobs_tool", "params": { "search_term": "Python developer", "location": "Remote", "is_remote": true, "site_name": ["indeed", "zip_recruiter"], "results_wanted": 20 } }
User Prompt: "Find data scientist jobs in Boston posted in the last 24 hours" MCP Tool Call: { "tool": "scrape_jobs_tool", "params": { "search_term": "data scientist", "location": "Boston, MA", "hours_old": 24, "site_name": ["linkedin", "glassdoor", "indeed"], "linkedin_fetch_description": true } }
User Prompt: "Look for entry-level marketing jobs in New York with easy apply options" MCP Tool Call: { "tool": "scrape_jobs_tool", "params": { "search_term": "junior marketing", "location": "New York, NY", "job_type": "fulltime", "easy_apply": true, "site_name": ["indeed", "zip_recruiter"], "results_wanted": 30 } }
User Prompt: "Find software jobs in Germany on Indeed" MCP Tool Call: { "tool": "scrape_jobs_tool", "params": { "search_term": "software developer", "location": "Berlin", "country_indeed": "germany", "site_name": ["indeed"], "results_wanted": 15 } }
User Prompt: "What job sites are supported?" MCP Tool Call: { "tool": "get_supported_sites", "params": {} } Expected Output: { "sites": [ { "name": "indeed", "description": "Largest job search engine, most reliable" }, { "name": "linkedin", "description": "Professional networking platform, rate limited" }, { "name": "glassdoor", "description": "Jobs with company reviews and salaries" }, { "name": "zip_recruiter", "description": "Job matching for US/Canada" }, { "name": "google", "description": "Aggregated job listings" }, { "name": "bayt", "description": "Middle East job portal" }, { "name": "naukri", "description": "India's leading job portal" }, { "name": "bdjobs", "description": "Bangladesh job portal" } ] }
Scenario: LinkedIn returns a rate limit error. Error Response: { "error": "RateLimitError", "message": "LinkedIn rate limit exceeded. Try again later or use different sites.", "suggestion": "Switch to Indeed or ZipRecruiter which have more lenient rate limits." } How to Handle: Reduce results_wanted to a smaller number (10-15) Remove linkedin from site_name temporarily Add delays between searches Use proxy configuration if available
Scenario: Search returns empty results. Error Response: { "jobs": [], "total_found": 0, "message": "No jobs found matching your criteria" } How to Handle: Broaden search terms (e.g., "engineer" instead of "senior principal software engineer") Increase distance radius Remove restrictive filters like hours_old or job_type Try different site_name options Check if location spelling is correct
Scenario: User specifies an unsupported country for Indeed. Error Response: { "error": "ValidationError", "message": "Invalid country_indeed value. Use get_supported_countries to see valid options." } How to Handle: Call get_supported_countries to get valid country codes Use the exact country name (e.g., "usa" not "US", "united kingdom" not "UK")
Scenario: User tries to use conflicting filters. Known Limitations: Indeed: Only ONE of these can be used: hours_old, job_type & is_remote, easy_apply LinkedIn: Only ONE of these can be used: hours_old, easy_apply How to Handle: Inform user of the limitation Prioritize the most important filter Run separate searches if multiple filters are needed
// BAD - Will likely timeout or get rate limited { "search_term": "engineer", "results_wanted": 1000, "site_name": ["linkedin", "indeed", "glassdoor", "zip_recruiter", "google"] } Why: Requesting too many results from too many sites simultaneously will trigger rate limits and cause timeouts. β DO INSTEAD: { "search_term": "software engineer", "results_wanted": 20, "site_name": ["indeed", "linkedin"] }
// BAD - LinkedIn is heavily rate limited { "search_term": "developer", "site_name": ["linkedin"], "results_wanted": 100, "linkedin_fetch_description": true } Why: LinkedIn has the strictest rate limits. Using linkedin_fetch_description: true multiplies requests. β DO INSTEAD: Use Indeed as primary source Limit LinkedIn to 10-15 results Only enable linkedin_fetch_description when specifically needed
// BAD - Indeed limitation: only one filter group allowed { "search_term": "developer", "site_name": ["indeed"], "hours_old": 24, "job_type": "fulltime", "is_remote": true } Why: Indeed only supports one of: hours_old, job_type & is_remote, or easy_apply. β DO INSTEAD: // Either filter by recency { "search_term": "developer", "site_name": ["indeed"], "hours_old": 24 } // OR filter by job type { "search_term": "developer", "site_name": ["indeed"], "job_type": "fulltime", "is_remote": true }
// BAD - Too generic, will return irrelevant results { "search_term": "job" } Why: Vague searches return poor quality results and waste API calls. β DO INSTEAD: Always include specific job titles or skills Include location when known Use filters to narrow results
Why: Rate limits, network issues, and invalid parameters require appropriate handling. β DO INSTEAD: Check for error responses before processing results Implement retry logic with backoff for rate limits Provide helpful messages to users when searches fail
// BAD - Wrong country code format { "search_term": "developer", "country_indeed": "UK" // Wrong! Use "united kingdom" } β DO INSTEAD: Use get_supported_countries to verify valid country codes Common codes: "usa", "united kingdom", "canada", "germany", "india"
Indeed - Most reliable, good for large searches ZipRecruiter - Reliable for US/Canada Google Jobs - Good aggregation, stable Glassdoor - Reliable with company insights LinkedIn - Most restrictive, use sparingly
Start Small: Begin with 10-15 results to test filters Use Indeed First: Most reliable for job data Be Specific: Use targeted search terms Filter Wisely: Use one filter group at a time for Indeed/LinkedIn Paginate: Use offset for getting more results instead of high results_wanted
Call get_supported_countries for the complete list. Common countries include: CountryCode for country_indeedUSAusaUnited Kingdomunited kingdomCanadacanadaGermanygermanyFrancefranceIndiaindiaAustraliaaustraliaSingaporesingaporeJapanjapanNetherlandsnetherlands
Run: playwright install chromium (some scrapers use Playwright)
Run: pip install python-jobspy>=1.1.82
Reduce results_wanted Remove LinkedIn from site_name Wait 60 seconds before retrying Consider using a proxy
User IntentKey ParametersFind jobs in a specific citysearch_term, locationRemote jobs onlyis_remote: trueRecent postingshours_old: 24 (or 48, 72)Full-time onlyjob_type: "fulltime"Quick apply jobseasy_apply: trueSearch specific platformsite_name: ["indeed"]International searchcountry_indeed: "germany"More resultsresults_wanted: 25Paginate resultsoffset: 25 (after first 25)
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