{"repo":"ScrapingBee/google-reviews-scraper","free":true,"listed":false,"github":"https://github.com/ScrapingBee/google-reviews-scraper","clone":"git clone https://github.com/ScrapingBee/google-reviews-scraper.git","description":"Google Reviews API integration and scalable Google Reviews Scraper for extracting ratings, review text, and business insights from Google Maps using a structured Google Review API.","language":null,"stars":594,"topics":["google-reviews","google-reviews-api","nodejs","python","review-scraper","google-review-scraper","data-extraction","data-parsing","google-rating-api","google-ratings"],"license":null,"category":"scrapers-browser-automation","readme_excerpt":"Google Reviews Scraper A production-ready Google Reviews Scraper powered by the ScrapingBee Google Reviews API . Why Scrape Google Reviews? Google Reviews are one of the most influential data sources for businesses operating online. Ratings and review content directly affect local search rankings, brand trust, and customer decision-making. Extracting this data programmatically using a Google Reviews API enables businesses to turn unstructured public feedback into actionable insights. Here are some of the most common use cases for a google reviews scraper: - Local SEO optimization: Google review volume, rating trends, and review frequency influence local search visibility. By using a google review api, SEO teams can monitor rating changes, identify ranking patterns, and optimize local business strategies based on real review data. - Reputation monitoring: Businesses can continuously track new reviews, detect negative sentiment early, and respond proactively. A structured google reviews api allows automated alerting systems and reputation dashboards to operate in real time. - Competitor analysis: Companies can use a google review scraper to analyze competitor ratings, review growth, customer complaints, and strengths. This enables data-driven competitive positioning and service improvements. - Sentiment analysis: Review text can be processed using NLP models to identify recurring themes, product feedback, or service issues. A google reviews api provides structured data that int","default_branch":null,"files":null,"tree":[],"storefront":"/r/ScrapingBee","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/ScrapingBee/google-reviews-scraper/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}