Hello. I'm so interested in this actor but would like to have more filter for input. I want to search for companies by state. I want companies (for example Flooring companies) with big number of reviews (at least 15). Is there any way to add such a filter?

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Yelp Scraper

tri_angle/yelp-scraper

Free Yelp web scraper to extract data from Yelp. Fast Yelp review scraper, but also gets business details and ratings without using the Yelp API.

Tri⟁angle

3.8K

5.0

Yelp Review Scraper

tri_angle/yelp-review-scraper

Scrape reviews from Yelp.com

Tri⟁angle

Yelp Business Info Scraper

delicious_zebu/yelp-business-info-scraper

Quickly gather rich, detailed data from Yelp business pages—perfect for insights and analysis! 🚀

ВAH

Yelp Reviews

scraped/yelp-reviews

Scrape Yelp reviews from the business of your choice, just enter the business url and run

scraped

5.0

Yelp Business Scraper

piotrv1001/yelp-business-scraper

The Yelp Business Scraper extracts business information from Yelp based on search and location filters. It captures names, phone numbers, URLs, ratings, review counts, and other key details—ideal for market research and lead generation.

Piotr Vassev

Yelp Scraper

widbox/yelp-scraper

The Yelp-Reviews-Scraper, Apify platform based scraper, enables the collection of reviews directly from Yelp's business pages. This tool is designed to retrieve comprehensive business information, user ratings, and customer feedback without the necessity of utilizing Yelp's official API.

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Yelp Reviews Scraper

delicious_zebu/yelp-reviews-scraper

Effortlessly scrape Yelp business and review details, including ratings, reviewer insights, media, and more. Customize your queries and extract rich data with ease for analytics or research.

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Yelp Scarper

web_wanderer/yelp-scraper

Scrape Yelp: Full business info, reviews, hidden feedback, and more — all in one scrape.

Billy

Yelp Advanced Data Scraper

delicious_zebu/yelp-advanced-data-scraper

Effortlessly scrape detailed restaurant data from Yelp, including ratings, reviews, amenities, and operating hours. Perfect for building robust datasets for market analysis, apps, or research projects.

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237