What is scrapers?

ScraperS is a self hosted web app for finding and organizing LinkedIn leads without paying for any search or scraping API. You describe who you are looking for by role, location, and job title, and the tool searches for matching public profile URLs using search engine queries rather than a paid API. It then uses browser automation through Playwright to visit those profiles and pull out details like name, current title, company, location, an about section, work history, education, skills, contact information if listed, and how many followers or connections the person has. Profiles with fewer than five hundred followers or connections are automatically filtered out, which is meant to cut down on low quality or spam accounts before they reach your review screen. Everything is stored locally in a SQLite database on your own machine, and your LinkedIn login session is saved locally as well, so nothing is sent to a third party service. The project has a backend built with FastAPI that handles the search and scraping queue, and a separate frontend built with React and TypeScript that provides a dashboard styled with a dark, glass like visual theme. To run it, you set up a Python virtual environment for the backend, install its dependencies plus Playwright's browser binaries, then separately install the frontend's Node dependencies. You start the backend and frontend as two separate processes, log into your LinkedIn account through a browser window the tool opens for you, and the resulting session cookies are then reused for future scraping. The project is open source and released under the MIT license.