{"categories":[{"label":"WWW/HTTP","url":"https://skillfed.io/packages/category/internet-www-http/4"}],"enrichment":{"capability":"Scrapes job postings from LinkedIn, Indeed, Glassdoor, Google, ZipRecruiter, and other job boards, aggregating results into a pandas DataFrame for analysis or export.","skillfed_tags":["web-scraping","job-search","data-aggregation"],"use_cases":["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."],"what_it_does":"JobSpy is a web scraper that pulls job postings from multiple popular job boards\u2014LinkedIn, Indeed, Glassdoor, Google Jobs, ZipRecruiter, Bayt, Naukri, and others\u2014and 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).\n\nThe 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.","worth_installing":"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."},"id":"python-jobspy","links":{"html":"https://skillfed.io/packages/python-jobspy","md":"https://skillfed.io/packages/python-jobspy.md","pypi":"https://pypi.org/project/python-jobspy/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-07-28","license_spdx":null,"license_treatment":"unclear","name":"python-jobspy","python_support":"supports_current","summary":"Job scraper for LinkedIn, Indeed, Glassdoor, ZipRecruiter & Bayt"},"popularity":{"monthly_downloads":483946,"position":6408,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.1.82"}