Yelp Scraper

Extract Yelp business data and reviews into structured spreadsheets

DataLens pulls Yelp business listings and review data directly from your browser. Collect business names, addresses, phone numbers, star ratings, review counts, price ranges, and categories from search results — then export to CSV or Excel.

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Local business leads from Yelp

Collect names, phone numbers, addresses, websites, price ranges, and categories from any Yelp category search or city page.

Review sentiment data

Extract review text, star ratings, reviewer names, dates, and helpful votes for any Yelp listing.

Works on Yelp search results

Extract from any category, neighborhood, or city search on Yelp — restaurants, services, contractors, and more.

Real-world use cases

A catering sales rep building a restaurant prospect list for a kitchen equipment campaign extracts all Yelp restaurant listings in a target metro by category — getting business names, phone numbers, and review counts in one pass, then filtering out chains to focus outreach on independent operators.

A local SEO consultant benchmarks their restaurant client's Yelp performance by extracting all competitor listings in the same category and neighborhood — comparing star ratings, review counts, and price ranges to set realistic targets and identify which competitors are winning on reputation.

A market researcher studying the food truck industry extracts Yelp Food Trucks category listings across ten cities, merges the CSVs, and analyzes city-by-city density, price distribution, and average ratings to understand regional market maturity.

How it works

1
Open Yelp in Chrome and run a category and city search — for example, 'plumbers in Boston, MA' or 'sushi restaurants in Downtown Seattle'. Let the business listing grid finish loading. Yelp search results use standard pagination rather than infinite scroll.
2
Open DataLens from the Chrome toolbar. Click on any business listing card to trigger field detection. The AI maps visible fields — business name, address, phone number, website URL, category, star rating, review count, and price range — to extraction columns and shows a live preview.
3
Click through pagination pages to collect businesses across multiple result pages. DataLens accumulates records from each page you visit. When finished, click Export and download as CSV, Excel (XLSX), or JSON.

Frequently asked questions

These are the most common questions teams ask before using DataLens for this workflow.

What Yelp data can I extract?

From Yelp search results you can extract business names, addresses, phone numbers, website URLs, star ratings, review counts, price range indicators, business categories, and neighborhood labels. From individual business review pages you can extract full review text, reviewer names, star ratings, review dates, and Useful/Funny/Cool vote counts.

Can I scrape Yelp reviews for sentiment analysis?

Yes. Open any Yelp business review page, open DataLens, and click a review card to detect the structure. Export full review text, star ratings, reviewer names, and dates across multiple pages. Sort the exported data by star rating to isolate 1-star or 5-star reviews for focused sentiment analysis.

Can I scrape Yelp without creating an account?

Yes. DataLens reads publicly visible Yelp pages as shown in Chrome. No Yelp account, API key, or developer credentials are required. Public business listings and their reviews are visible to any browser visitor and can be extracted without authentication.

Can I export Yelp business data to Excel?

Yes. Export your Yelp extraction as CSV, Excel (XLSX), or JSON with a single click. The output includes clean column headers and is ready for use in outreach tools, CRM imports, analysis spreadsheets, or competitive benchmarking reports.

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