Yelp Scraper

Scrape Yelp businesses by search term and location and get far more than the 240 results Yelp shows per search. Each business comes with phone, website, full address, coordinates, hours, price range, categories, rating, review count and claim status. Optionally, get every review, with full text, date, reactions, photos and the owner's reply. No login, no Yelp API key.

It is built for local lead generation, reputation management and market research. The official Yelp API now costs $7.99 to $14.99 per 1,000 calls, with 300 to 500 calls a day, and returns at most three reviews per business.

Sample output (real run: plumbers in Austin, TX)

Business	Rating	Reviews	Phone	Website	City
Blue Dragon Plumbing	4.9	532	(512) 947-2491	bluedragonplumbing.com	Austin
Rooterman Plumbing	4.7	516	(512) 900-7676	rootermanofaustin.com	Austin
Proven Plumbing & Air	4.9	417	(512) 775-1234	callproven.com	Cedar Park
A&T Service Plumbing	4.8	372	(512) 825-0983	atserviceplumbing.com	Austin

Each business also includes address, coordinates, hours, categories, price range, photos and Yelp URL. Reviews come as separate rows with full text, stars, date and owner reply.

Why this one

	This Actor	Yelp Fusion API	Typical Store alternative
Reviews per business	All of them	3 excerpts	All, slower
Businesses per search	Whole city (tiles past the 240 cap)	240 max	Usually capped
Only-new-reviews mode	Yes	No	Rarely
Price	$3 / 1,000 businesses, $0.30 / 1,000 reviews	$7.99 to $14.99 / 1,000 calls	$0.30 to $5 / 1,000 reviews, often plus start fees

What it costs: a 1,000-business lead list = $3. All 2,000 reviews of a busy restaurant = $0.60.

What this Actor does

• Searches Yelp for any term in any city, neighborhood or ZIP code, for example "plumber" in "Austin, TX".
• Gets past the 240-result limit. Yelp stops showing results after 24 pages. When a search is capped, the Actor searches again from a grid of points across the area, going finer while that keeps finding new businesses, and removes duplicates. One search for restaurants in Austin, TX returned 2,409 businesses; for plumbers, which mostly serve areas rather than sit at an address, about 680.
• Returns full business details for every result: phone, website, address and postal code, latitude and longitude, neighborhoods, opening hours for the week, price range, categories, rating, review count, claimed status, year established, specialties and Yelp's summary.
• Scrapes reviews: all of them, or the newest N, with full text, star rating, date, helpful, thanks, love-this and oh-no counts, photos, and the owner's public reply.
• Filters reviews by star rating (for example only 1 and 2 stars), date, or language.
• Returns only new reviews since your last run. It remembers the newest review it has seen for each business, so a scheduled run returns, and charges for, new reviews only.
• Accepts Yelp business URLs directly, for tracking your own locations or a list of competitors.

What data can you extract from Yelp?

Group	Fields
Business	id, name, url, rating, reviewCount, priceRange, categories, summary, isClaimed, isClosed, isOpenNow, yearEstablished, specialties, photo
Contact	phone, website, messagingEnabled
Location	address (street, city, region, postalCode, country, formatted), coordinates (lat, lng), neighborhoods, serviceArea
Hours	hours: each day with its opening hours, and special hours where set
Search	searchTerm, searchLocation, searchRank
Review	reviewId, rating, date, text, language, helpfulCount, thanksCount, loveThisCount, ohNoCount, photos, isUpdated, url
Owner reply	ownerReply.text, ownerReply.date, ownerReply.ownerRole
Reviewer (opt-in)	name, location, reviewCount, friendCount, photoCount, eliteYear

How to scrape Yelp

1. Add search terms such as plumber, sushi or dentist, and locations such as Austin, TX or 94110. Or paste Yelp business URLs.
2. Set Maximum businesses per search. Above 240, the Actor splits the map automatically.
3. Turn on Include reviews if you want them, and set how many per business.
4. Run it and export to JSON, CSV or Excel, or connect it to your own tools through the API.

Example: every plumber in Austin, with contact details

{
  "searchTerms": ["plumber"],
  "locations": ["Austin, TX"],
  "maxBusinessesPerSearch": 2000
}

Example: daily monitoring of new negative reviews

{
  "startUrls": [{"url": "https://www.yelp.com/biz/tartine-bakery-san-francisco"}],
  "includeReviews": true,
  "maxReviewsPerBusiness": 0,
  "reviewRatings": ["1", "2"],
  "onlyNewReviews": true
}

Schedule it daily. The first run returns the full history; later runs return only what is new.

Example output (business, trimmed)

{
  "type": "business",
  "id": "ri7UUYmx21AgSpRsf4-9QA",
  "name": "Tartine Bakery",
  "url": "https://www.yelp.com/biz/tartine-bakery-san-francisco-3",
  "rating": 4.2,
  "reviewCount": 9204,
  "priceRange": "$$",
  "categories": ["Bakeries", "Cafes", "Desserts"],
  "phone": "(415) 487-2600",
  "website": "https://tartinebakery.com/san-francisco/bakery",
  "address": {"street": "600 Guerrero St", "city": "San Francisco", "region": "CA", "postalCode": "94110", "country": "US"},
  "coordinates": {"lat": 37.761656, "lng": -122.423995},
  "neighborhoods": ["Mission"],
  "hours": [{"day": "Mon", "hours": ["7:30 AM - 6:00 PM"]}],
  "isClaimed": true
}

Example output (review, trimmed)

{
  "type": "review",
  "reviewId": "HW0ZygMXZtlM_u-C3z3FLw",
  "businessName": "Tartine Bakery",
  "rating": 5,
  "date": "2026-09-14T06:40:19-07:00",
  "text": "Very nicely appointed bakery. Delicious variety of baked goods and very good coffee too...",
  "helpfulCount": 0,
  "ownerReply": null
}

How much does it cost to scrape Yelp?

You pay per result, with lower prices on higher Apify plans: one price per business and a much smaller price per review. Businesses and reviews you filter out are not charged. The only-new-reviews mode means repeat monitoring costs only what is new. Current prices are on the pricing tab.

Tips

• Whole cities: raise Maximum businesses per search to what you expect to exist. Large, dense searches take longer: about 15 to 25 minutes for 2,000 restaurants. For the most complete coverage of a big metro, also add its suburbs or ZIP codes as extra locations; duplicates are removed only within one search, so use the business id to merge.
• Coordinates: businesses that serve customers at their location have coordinates; service-area businesses (plumbers, movers) often have no public address, so their coordinates are empty.
• Faster runs: search pages are the slow part. Business details and reviews are quick, so review-heavy runs finish fast.
• Reviewer names are off by default. They identify people. Turn them on only if you have a lawful basis to process them.
• Businesses and reviews share one dataset, told apart by the type field. Use the Businesses and Reviews views in the Output tab.

FAQ

How is this different from the Yelp API? The Yelp API returns at most three review excerpts per business, is limited to 300 to 500 calls a day, and costs $7.99 to $14.99 per 1,000 calls. This Actor returns every review in full, and whole cities of businesses.

Can it get all reviews for a business with thousands? Yes. Pages are fetched in parallel, so 9,000 reviews take minutes, not hours.

Does it include reviews Yelp "does not recommend"? No, only the reviews Yelp shows by default.

Is scraping Yelp legal? The Actor collects publicly visible business information and reviews. Reviewer identities are excluded unless you turn them on. Check that your use complies with the laws that apply to you and with Yelp's terms.

Related Actors

• Yelp Reviews Scraper: the same engine focused on reviews for a list of businesses, with only-new-reviews monitoring.

Use it as an API

Run it from your own code and get the results back in one call. Replace YOUR_TOKEN with your Apify API token.

curl -X POST "https://api.apify.com/v2/acts/headply~yelp-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["plumber"], "locations": ["Austin, TX"], "maxReviewsPerBusiness": 50, "coverWholeArea": true}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")
run_input = {'searchTerms': ['plumber'],
 'locations': ['Austin, TX'],
 'maxReviewsPerBusiness': 50,
 'coverWholeArea': True}
run = client.actor("headply/yelp-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

It also works from Make, Zapier, n8n, Google Sheets and as a tool for AI agents through the Apify MCP server.

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