Developer Candidates Scraper — GitHub + Stack Overflow avatar

Developer Candidates Scraper — GitHub + Stack Overflow

Pricing

Pay per usage

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Developer Candidates Scraper — GitHub + Stack Overflow

Developer Candidates Scraper — GitHub + Stack Overflow

Find GitHub developers for recruitment by language, location, and activity. Returns: name, GitHub profile, skills, recent projects, followers, and contact info. Priced per candidate found — only pay for results.

Pricing

Pay per usage

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Web Data Labs

Web Data Labs

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2 days ago

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Find developers who are actively open to new opportunities. Searches GitHub bios for open-to-work signals and enriches each candidate with Stack Overflow data.

What It Does

  1. Searches GitHub for developers with open-to-work bio signals
  2. Filters by availability — only returns candidates actively signaling they are open
  3. Enriches with Stack Overflow reputation and top tags (~40% match rate)

Why Multi-Source?

GitHub shows what someone builds. Stack Overflow shows what they know deeply. A candidate with high Stack Overflow reputation in your target technology is a stronger signal than a bio claim alone.

Input Parameters

ParameterTypeDescriptionDefault
keywordsStringTechnology to search for (python, react, golang, etc.)python
locationStringCity, country, or region filter
languageStringProgramming language filter
maxResultsNumberMaximum candidates to return25

Output Format

Each result includes: username, name, bio, location, hireable flag, followers, public repos, GitHub URL, and Stack Overflow data (reputation + top tags when available).

Use Cases

  • Recruiting — Find engineers actively looking, filtered by tech and location
  • Talent analytics — Track developer availability in specific technology markets
  • VC research — Find technical founders with domain expertise between projects
  • Bootcamp operators — Identify developers open to upskilling

Notes

Only developers with open-to-work signals are returned (hireable flag OR bio keywords). Stack Overflow enrichment has ~40% match rate.


Part of the Web Data Labs collection.