JobSpy: Jobs scraper library for LinkedIn, Indeed, Glassdoor, ZipRecruiter, Bayt, Naukri, BDJobs & HelloWork

by speedyapply · MCP Server · ★ 4.5k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install JobSpy

pip install -U python-jobspy

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 69/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

baytbdjobscliglassdoorhelloworkindeedinternshipjob-scraperjob-searchjobs-scraper

Quick Facts

Stars4,544
Forks896
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score69/100
Open Issues35
Last Updated2026-10-23
Created2023-07-06
Platformscli, mcp, python
Est. Tokens~16k

About JobSpy

JobSpy is a job scraping library that aggregates jobs from popular job boards with one tool: Scrapes job postings from LinkedIn, Indeed, Glassdoor, ZipRecruiter, Bayt, Naukri, BDJobs & HelloWork concurrently Aggregates the job postings in a dataframe Proxy support to bypass blocking <a href="h

Compatible Skills

These tools work well together with JobSpy for enhanced workflows:

  • boss-zhipin-scraper — semantic(0.42)+complementary+rare_topics+same_lang+similar_pop+shared_platform (69%)
  • google-maps-scraper-kit — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)

JobSpy alternative? Top 6 similar tools

Looking for a JobSpy alternative? If you're comparing JobSpy with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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