{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/12"}],"enrichment":{"capability":"scholarly retrieves author profiles, publication metadata, and citation information from Google Scholar without requiring CAPTCHA solving, using web scraping with proxy support.","skillfed_tags":["web-scraping","academic-data","google-scholar"],"use_cases":["Build a researcher profile aggregator that collects publication lists and citation metrics from Google Scholar for a list of author names.","Extract bibliographic data from Scholar search results to populate a local academic database or bibliography tool.","Track citation counts and related papers for a specific publication to monitor its academic impact over time.","Automate literature review workflows by scraping Scholar results for papers matching a research topic.","Generate citation networks by querying who has cited a particular paper and extracting their metadata."],"what_it_does":"scholarly is a Python scraper that queries Google Scholar to retrieve author profiles, publication records, and citation metadata in a programmatic, dictionary-based format. It handles the mechanics of web requests, HTML parsing, and result iteration so you can focus on the academic data rather than HTTP details.\n\nThe package wraps requests, httpx, beautifulsoup4, and bibtexparser to extract structured fields like author names, publication titles, citation counts, and venue information. It includes proxy support via free-proxy and fake-useragent to work around Google Scholar's rate-limiting and IP blocking, though the documentation warns that certain query types (like citedby and search_pubs) will trigger blocking without proxies. Tor support exists but is deprecated and unsupported.","worth_installing":"Yes, if you need programmatic access to Google Scholar data and can manage proxy configuration. The package is actively developed, has no known vulnerabilities, and carries a permissive license. However, expect to invest time in proxy setup (required for heavy queries) and be aware that the last PyPI release is from early 2023, so test compatibility with your use case before relying on it in production."},"id":"scholarly","links":{"html":"https://skillfed.io/packages/scholarly","md":"https://skillfed.io/packages/scholarly.md","pypi":"https://pypi.org/project/scholarly/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2023-01-16","license_spdx":null,"license_treatment":"permissive","name":"scholarly","python_support":"unspecified","summary":"Simple access to Google Scholar authors and citations"},"popularity":{"monthly_downloads":363971,"position":7213,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.7.11"}