RESUMOConducting a systematic review is complex, but it can be simplifiedusing computational resources. Utilizing multiple research sourcesis essential to cover most studies relevant to the investigated topic.In this context, SBC OpenLib (SOL), the open digital library ofthe Brazilian Society of Computing (SBC), is an important bibliographicsource for systematic reviews in Computing-related fields,offering access to all academic and scientific content produced bythe SBC. However, SOL’s limitation in its automatic search featureis the lack of flexibility in exporting results, a crucial criterionfor a database to be included in a systematic review’s search strategy.Addressing this issue, this paper introduces pySol, a Pythonbasedtool designed to automate searches and export results fromthe SOL database. PySol was developed using web scraping techniquesto extract automatic search results from the SOL database. Itsdevelopment followed Test-Driven Development (TDD) principles,resulting in over 280 unit tests and a code coverage of 93%. Theseindicators highlight the tool’s reliability for systematic searches.The tool intends to support the study identification stage in systematicreviews, significantly reducing the time and effort neededto search in the SOL database. The automation of this process notonly eases the execution of systematic searches in this databasebut also enables the export of results in BibTeX format, facilitatingintegration with reference managers.