GoogleScraper is a Python-based tool designed to automatically collect and process search engine results from multiple providers. It enables developers and researchers to programmatically query search engines and extract useful information such as links, titles, and result descriptions. GoogleScraper supports several major search engines and can be used to gather structured datasets from search result pages for further analysis. It provides two different scraping approaches: sending direct HTTP requests that simulate browser traffic or controlling real browsers through automation frameworks. By running automated queries and collecting results in bulk, the project can assist with tasks such as SEO research, trend discovery, or building datasets of websites related to specific keywords. GoogleScraper also includes capabilities for running multiple scraping tasks concurrently to improve performance and increase the amount of collected data.
Features
- Scrapes search results from multiple search engines including Google, Bing, Yahoo, Yandex, Baidu, and DuckDuckGo
- Extracts structured result data such as URLs, titles, and descriptions
- Supports both HTTP-based scraping and browser automation using Selenium
- Allows asynchronous or multi-threaded scraping for faster data collection
- Includes proxy support such as SOCKS and HTTP proxies for distributed scraping
- Provides configurable search modes including web, news, image, and video results