Yelp Review Scraper
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Extract detailed Yelp reviews including usernames, ratings, and review content into a structured table. Save time collecting feedback for analysis or reporting.
Scrape hundreds of webpages in one click with the Thunderbit Chrome Extension. Prefer to hand this job to AI? Use the Thunderbit API or Thunderbit MCP. Want us to run it for you? Use our Web Scraping Service.
Collect Yelp Reviews in SecondsScrape reviewer details, ratings, and comments from any Yelp business page with Thunderbit’s Chrome extension.
Install fromChrome Web Store
Collect Yelp Reviews in Seconds
Thunderbit lets you gather reviewer usernames, ratings, and comments from Yelp business pages in a single step. The AI-powered scraper structures all review data, including reviewer profiles and dates, for easy analysis or reporting.
You can also export your review tables to Google Sheets, Airtable, or Notion. Thunderbit supports scraping subpages and paginated reviews, making it ideal for market research, reputation management, or competitor analysis.
How to Scrape Yelp Reviews Using Thunderbit
STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. Once installed, log in or create a free account to get started.
STEP 2Open ExtensionNavigate to the Yelp business page you want to scrape reviews from. Open the Thunderbit Chrome Extension and select the 'Yelp Review Scraper' tool. Enter the Yelp business page URL in the provided field.
STEP 3Click the Scrape Yelp Reviews ButtonClick the 'Scrape Yelp Reviews' button. Thunderbit will extract review details such as Reviewer Username, Reviewer Profile URL, Business URL, Review Content, Rating, Review Date, and Reviewer Location into a structured table. You can export the results to Excel, Google Sheets, Airtable, Notion, or download them as CSV or JSON.
Learn how to extract Yelp reviews for business insights
Scrape Detailed Yelp Reviews
The Yelp Review Scraper allows you to collect comprehensive review data from any Yelp business page. By entering the business URL, you can extract reviewer usernames, profile links, review content, ratings, dates, and reviewer locations. This tool is ideal for business owners, marketers, and analysts who want to monitor customer feedback, analyze sentiment, or benchmark competitors without spending hours copying data manually.
Capture Reviewer Profiles and Ratings
With this tool, you not only gather review text but also capture valuable metadata such as reviewer profiles, ratings, and locations. This enables deeper analysis of customer demographics and review trends. By automating the data collection process, you reduce the risk of missing important details and ensure that your review database is accurate and up to date for further analysis or reporting.
Export Review Data to Your Workflow
Once the reviews are scraped, you can export the data as a table to Excel, Google Sheets, Airtable, or Notion. The output includes all relevant fields, making it easy to filter, sort, or visualize the information. This integration streamlines your workflow, allowing you to quickly incorporate review insights into presentations, dashboards, or CRM systems for actionable business decisions.
Monitor Brand Reputation and Competitors
Use the Yelp Review Scraper to track your own business reviews or analyze competitors’ feedback over time. By regularly exporting and reviewing this data, you can identify trends, respond to customer concerns, and spot opportunities for improvement. This tool is especially useful for reputation management, market research, and customer experience teams aiming to stay informed and proactive.
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What users say about Thunderbit
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
