Search LinkedIn jobs
LinkedInLinkedIn job postings for a title/skill and location (or a jobs search URL): title, company, location, salary, posted date, applicants, description.
Search Indeed jobs
IndeedIndeed job postings by title and location: company, salary, posted date, description.
Search Glassdoor jobs
GlassdoorGlassdoor job postings by keyword and location.
Search Upwork jobs
UpworkFreelance jobs on Upwork for a search: title, budget or rate, skills, client history, posted time.
Company career-site jobs
Career sitesFresh job postings straight from companies' own career sites and ATSs (Greenhouse, Lever, Workday…), searchable by title, location and company.
Hand it to your AI agent
Copy this prompt into Claude Code, Cursor, Codex or any coding agent. It tells the agent where the docs are and how to use your API key.
Use the Lovely Router Jobs data tools to get data for me. They return JSON and are billed per result.
- Docs (read first): https://lovelyrouter.com/docs/tools.md and https://lovelyrouter.com/docs/tools/run.md and https://lovelyrouter.com/docs/api/tools.md
- Tools for this:
- `linkedin-jobs`: Search LinkedIn jobs ($0.0009 / job + $0.00225 / call)
- `indeed-jobs`: Search Indeed jobs ($0.005 / job)
- `glassdoor-jobs`: Search Glassdoor jobs ($0.00054 / job + $0.00135 / call)
- `upwork-jobs`: Search Upwork jobs ($0.0051 / job)
- `career-site-jobs`: Company career-site jobs ($0.018 / job)
- Run: POST https://lovelyrouter.com/v1/tools/<id>/run with `{"input": {...}, "max_results": N}`. A 200 has the finished run with `items`; a 202 means it is still running, so poll the `poll` path until `status` is `succeeded`, `failed`, `timed_out` or `stopped`.
- Each tool takes its own input fields: read them with GET https://lovelyrouter.com/v1/tools/<id> (public, no key needed) before the first run.
- If you support MCP, you can instead connect the server https://lovelyrouter.com/mcp (Streamable HTTP, same key; https://lovelyrouter.com/docs/tools/mcp.md) and use suggest_tools, get_tool and run_tool.
- Auth: read my API key from the LOVELY_API_KEY environment variable and send it as `Authorization: Bearer $LOVELY_API_KEY`. Never print or commit the key. If it is not set, ask me to create one at https://lovelyrouter.com/app/keys.
- Billing is prepaid: every call is charged to my balance, so test with a small request before running anything large.
- Every docs page is plain Markdown; the full index is https://lovelyrouter.com/llms.txt.
My task: <describe the data you need and the output format>Run one from code
How runs, polling and billing work →curl https://lovelyrouter.com/v1/tools/linkedin-jobs/run \
-H "Authorization: Bearer $LOVELY_API_KEY" \
-H "content-type: application/json" \
-d '{"input":{"keywords":"software engineer","location":"New York","limit":10},"max_results":10}'Each tool page lists its input fields and an example input. Agents can use every tool over MCP: MCP server
Frequently asked questions
Which tools are in this category?
5 tools: Search LinkedIn jobs, Search Indeed jobs, Search Glassdoor jobs, Search Upwork jobs, Company career-site jobs. Each returns JSON and has its own page with its input fields and price.
Is this a job postings API?
Yes. If you searched for a job postings API, a job listings scraper or a job board scraper, this is it: Job listings from job boards, freelance marketplaces and company career sites.
How are these tools priced?
Each tool has its own price per result, from $0.00054. You pay only for results delivered, from a prepaid balance with no subscription.
Can AI agents use these tools?
Yes. Connect Claude Code, Cursor or any MCP client to the Lovely Router MCP server and the agent picks the right tool with suggest_tools and runs it with run_tool.
Can I use the data any way I like?
You are responsible for using the data lawfully, including privacy law when results contain personal data. See the Acceptable Use Policy.