JobSpy
Jobs scraper library for LinkedIn, Indeed, Glassdoor, ZipRecruiter, Bayt, Naukri, BDJobs & HelloWork
No outside reports on file
Using this scraper risks legal problems with job sites, account bans, and spreading fake or malicious job data unless you follow each platform's rules and verify sources carefully.
Based on public adoption and transparency signals as of Oct 20, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsRequires API key or tokenREVIEW
- Package sourceGitHub (speedyapply/JobSpy)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/speedyapply/JobSpy ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-20.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About JobSpy
JobSpy is a web scraper library that pulls job listings from multiple job boards including LinkedIn, Indeed, Glassdoor, ZipRecruiter, Bayt, Naukri, BDJobs, and HelloWork. It collects job data like titles, company names, locations, and salary information so you can search across many sites at once without visiting each one manually.
Who it’s for
Job seekers, recruiters, or developers who want to gather job market data programmatically. It's useful for people building job search tools or analyzing hiring trends across different regions and platforms.
Alternatives
- ScraperAPI – Third-party proxy service that handles web scraping legality and IP rotation.
- Bright Data (formerly Luminati) – Enterprise web scraping platform with built-in job board support.
- Official job board APIs – LinkedIn Jobs API, Indeed API, or Glassdoor's API if available in your region.
- Indeed's Quick Apply & RSS feeds – Built-in job feeds that may be more legally compliant than scraping.
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README on GitHub at https://github.com/speedyapply/JobSpy (opens external site) for installation and configuration instructions, as the setup method depends on your use case and Python environment.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 4.6k
- Listing last refreshed
- 2026-10-30
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- Website terms of service: Scraping job sites may violate their terms—many sites prohibit automated data collection without permission.
- IP blocking and rate limits: Websites detect and block scrapers; your IP could be banned or your requests throttled, disrupting service.
- Data freshness issues: Scraped job listings may be stale, incomplete, or contain duplicates across sites, leading to outdated information.
- Malicious job postings: Scraped data could include fake listings designed to phish for credentials or harvest personal information from applicants.
- Legal exposure: Collecting personal data from job postings (names, emails, phone numbers) may violate data privacy laws like GDPR or CCPA depending on your region and use.
How to lower the risk
Least-privilege permissions
- Run the scraper with minimal access to your system; don't give it admin rights.
- Use separate API credentials or tokens per job site if authentication is needed.
Network isolation
- Run the scraper in a sandbox or container to limit its network reach.
- Use a residential proxy or VPN to spread requests and avoid IP bans, if the site allows it.
Monitoring
- Log all scraping activity and check for unusual patterns or errors that might indicate blocks.
- Verify a sample of scraped data manually to spot fake or corrupted listings before using them.
Red flags to watch for
- HTTP errors (403, 429) or connection timeouts indicate the site is blocking you.
- Sudden changes in job posting volume or missing employer names suggest data quality issues.
Questions
How do I install JobSpy?
JobSpy does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/speedyapply/JobSpy.
Are there security reports about JobSpy?
No reports found for this package in our research (last checked 2026-10-30). JobSpy currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include website terms of service, ip blocking and rate limits, data freshness issues.
Is JobSpy actively maintained?
JobSpy has 4.6k GitHub stars. Our directory data was last refreshed on 2026-10-30. Check recent commit activity, release tags, and open issues at github.com/speedyapply/JobSpy before pinning it in production.
What are alternatives to JobSpy?
Notable alternatives to JobSpy include ScraperAPI (Third-party proxy service that handles web scraping legality and IP rotation), Bright Data (formerly Luminati) (Enterprise web scraping platform with built-in job board support), Official job board APIs (LinkedIn Jobs API, Indeed API, or Glassdoor's API if available in your region), Indeed's Quick Apply & RSS feeds (Built-in job feeds that may be more legally compliant than scraping). You can also compare JobSpy side by side with other MCP servers in the Related tools section on this page.
Key facts
- Type
- App connector
- Publisher
- speedyapply
- Source code
- github.com/speedyapply/JobSpy
- Est. context load
- ~550 tokens / turn (~3 tool schemas, 0.27% of 200k context)
- Popularity
- 4.6k GitHub stars
- Last updated
- 2026-10-30
- Last graded
- 2026-10-20
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