Proxycurl Alternative for Job Posting Data
Proxycurl and JobDataLake solve different problems. Proxycurl is a LinkedIn-centric enrichment API built around people and company profiles; JobDataLake is a job-posting API built around listings. If you are using a profile-enrichment product to fetch job data, you are paying for the wrong shape of data — you want an API whose primary object is the job, with salary, skills, and seniority already extracted.
What Proxycurl is
Proxycurl is best known as a LinkedIn data API: person profiles, company profiles, and contact enrichment. Job listings are reachable through company-scoped lookups rather than as the product's primary object.
Proxycurl vs JobDataLake
| Proxycurl | JobDataLake | |
|---|---|---|
| Primary object | People and company profiles; jobs are a secondary, company-scoped lookup. | The job posting. Search across the whole corpus by any combination of filters. |
| Coverage | Anchored to LinkedIn as the source of truth. | 1.8M+ active listings from 25,000+ companies, taken from company career pages and ATS platforms directly rather than from an intermediary board. |
| Freshness | Profile-oriented refresh cadence. | Scraped directly from 25,000+ company career pages and 40+ ATS platforms, updated hourly. New postings are typically searchable within 3 hours. |
| Enrichment | Rich on the person/company side; job fields are closer to raw. | Every listing carries normalized salary in USD, extracted skill tags, inferred seniority, remote type, job function, and employment type — extracted with AI at ingest, not left to you. |
| Query model | Look up a company, then read its postings. | One REST endpoint with 15+ filters, X-API-Key auth, flat JSON. Skills filter in AND mode. Also available as an MCP server for AI tools. |
| Pricing model | Credit-based, priced around profile enrichment calls. | Credit-based and public: 1,000 free credits at signup, then $50 / 100k, $200 / 1M, $400 / 4M credits. One credit = one request. Credits never expire and no fields are gated behind a higher tier. |
When to pick Proxycurl instead
- Your core need is person-level enrichment — resolving a name or email to a profile, or building contact data.
- You need company firmographics sourced from LinkedIn specifically, and job postings are incidental.
- Your product is a sales-prospecting tool where the person, not the posting, is the unit of work.
When to pick JobDataLake
- The job posting is the object your product actually stores, displays, or reasons about.
- You need to search the whole corpus by salary, skills, seniority, or remote type — not one company at a time.
- You want salary and skills already normalized, instead of writing your own extraction pipeline over free-text descriptions.
Frequently asked questions
Is JobDataLake a drop-in replacement for Proxycurl?
Only for the job-posting half. If you also depend on person-level profile enrichment, JobDataLake does not replace that — it covers job listings, companies that post them, and the structured fields attached to each posting.
Where does JobDataLake get its job data?
Directly from 25,000+ company career pages and 40+ ATS platforms, updated hourly, rather than from a single job board or professional network.
What does it cost to switch?
A free account includes 1,000 credits with no credit card, which is enough to run your real queries against the API before committing. Paid credits start at $50 for 100,000 requests and never expire.
Related reading: Best Job Data APIs in 2026: Compared on Coverage, Freshness, and Price
Other comparisons
Test it against your own queries
A free API key includes 1,000 credits — no credit card. Run the searches your product actually makes before you decide.