python-jobspy
Job scraper for LinkedIn, Indeed, Glassdoor, ZipRecruiter & Bayt
Decision gist · record as of 2026-08-14
Yes, with conditions. Install if you need to aggregate job data from multiple boards into a single structured format and are comfortable managing proxies for rate-limit avoidance. The package is actively maintained, has low install friction, and supports current Python versions. However, verify the unclear license status before use in proprietary contexts, and confirm that your scraping use case complies with each job board's terms of service and robots.txt policies.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Python 3.10 or later is required.
- Some job boards (LinkedIn, Glassdoor) may rate-limit or block requests; proxies are recommended for sustained scraping.
- Low install friction with a pure-Python wheel distribution.
License · maintenance · safety
(unclear) — License status is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the actual license at the repository before use in proprietary or commercial contexts.
last release 2025-07-28 (382 days) · last repo commit 2026-02-18 · 4,088 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 483,946 downloads/mo, #6,408 on PyPI
Alternatives
Verify before relying
pip install python-jobspy
from jobspy import scrape_jobs
jobs = scrape_jobs(
site_name=["indeed", "linkedin"],
search_term="software engineer",
location="San Francisco, CA",
results_wanted=20
)
print(jobs.head())- Whether scraping these job boards complies with their terms of service and robots.txt policies.
- Current rate-limiting behavior and blocking patterns for each supported job board.
- Whether the package handles authentication or session management for boards that require login.
What it is and what it does
JobSpy is a web scraper that pulls job postings from multiple popular job boards—LinkedIn, Indeed, Glassdoor, Google Jobs, ZipRecruiter, Bayt, Naukri, and others—and combines them into a single pandas DataFrame. It handles concurrent requests to multiple sites and supports filtering by location, job type, posting recency, salary range, and remote status. The library outputs structured job data including title, company, location, salary, job URL, and description (in markdown or HTML format).
The package is designed for job market research, recruitment automation, and data analysis. It includes proxy support to work around rate-limiting and IP blocking, and offers fine-grained control over search parameters per job board. Results can be exported to CSV or Excel. Maintenance is active, with recent updates and a large user base, though some job boards (particularly LinkedIn) are noted as restrictive and require proxies for reliable access.
Use it for
- Aggregate job listings across multiple boards into a single dataset for salary analysis or market research.
- Build a job alert system that periodically scrapes and filters postings by role, location, and salary range.
- Export job data to CSV or database for downstream analysis, visualization, or integration with recruitment tools.
- Monitor hiring trends by collecting job postings over time from specific companies or industries.
- Automate candidate sourcing by scraping and filtering job postings that match specific skill or location criteria.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, with conditions.
Install if you need to aggregate job data from multiple boards into a single structured format and are comfortable managing proxies for rate-limit avoidance. The package is actively maintained, has low install friction, and supports current Python versions. However, verify the unclear license status before use in proprietary contexts, and confirm that your scraping use case complies with each job board's terms of service and robots.txt policies.
Install
python-jobspy on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Actively maintained with recent commits and a substantial user base. Requires Python 3.10 or later.
Python 3.10 or later is required. Some job boards (LinkedIn, Glassdoor) may rate-limit or block requests; proxies are recommended for sustained scraping.
License in practice
License status is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the actual license at the repository before use in proprietary or commercial contexts.
Quickstart
pip install python-jobspy
from jobspy import scrape_jobs
jobs = scrape_jobs(
site_name=["indeed", "linkedin"],
search_term="software engineer",
location="San Francisco, CA",
results_wanted=20
)
print(jobs.head())Verify before relying
- Whether scraping these job boards complies with their terms of service and robots.txt policies.
- Current rate-limiting behavior and blocking patterns for each supported job board.
- Whether the package handles authentication or session management for boards that require login.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release <4.0,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 8 packagesNUMPYbeautifulsoup4markdownifypandaspydanticregexrequeststls-client |
| Maintenance | Actively maintained 382 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 483,946 / month, #6,408 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13 |
Evidence: python_jobspy-1.1.82-py3-none-any.whl
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