Yelp Scraper – Business Listings, Ratings, Reviews & Contacts avatar

Yelp Scraper – Business Listings, Ratings, Reviews & Contacts

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from $1.00 / 1,000 business results

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Yelp Scraper – Business Listings, Ratings, Reviews & Contacts

Yelp Scraper – Business Listings, Ratings, Reviews & Contacts

Scrape Yelp business listings by search term and location. Each row: name, rating, review count, price level, categories, phone, full address, geo, hours and photos — plus optional attributes, health score and reviews per business. No Yelp account or API key needed.

Pricing

from $1.00 / 1,000 business results

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R.L.

R.L.

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Yelp Scraper 🍽️ — Business Listings, Ratings, Reviews, Hours, Photos & Contact Details

Yelp Scraper — Scrape Yelp business listings by search term and location. Each row carries name, rating, review count, price level, categories, phone, full address, geo, hours and photos, plus optional attributes, health score and reviews per business. It reads Yelp's own mobile API directly, so it's fast, reliable and complete — no login, no flaky HTML parsing, no headless browser. Export to JSON, CSV, Excel, or an API.

Search any US city, ZIP or neighborhood by keyword — get full business listings with ratings, reviews, price, hours, photos, phone and geo, straight from Yelp's own mobile API.


✨ Why use this Yelp Scraper?

  • Human-friendly inputs — just a search term and a location string; no raw IDs or coordinates.
  • Full field coverage per business: rating, review count, price, categories, address, geo, phone, hours, photos and more.
  • Optional per-business enrichment: complete detail (attributes, hours, health score, owner) and reviews with summary.
  • Talks to Yelp's own mobile API (not the bot-walled website), so results match the app.

🎯 What can you do with Yelp data?

  • Build a local-business directory or lead list for a city or category.
  • Monitor ratings, review counts and price levels of competitors.
  • Enrich a CRM with verified phone numbers, addresses and opening hours.
  • Analyze a market — categories, geo distribution and popularity by neighborhood.

📥 What data does the Yelp Scraper extract?

Each row includes: id, alias, name, url, rating, unrounded_rating, review_count, price_level, price, categories, phone, localized_phone, address, city …and more. See the full field list below.


🚀 How do I scrape Yelp.com? (3 steps)

  1. Set your input — provide term or location (see the table below; defaults work out of the box).
  2. Pick options — filters, a proxyConfiguration, and a maxItems cap.
  3. Run & export — click Start, then download the dataset as JSON/CSV/Excel or fetch it via the API.

⚙️ What inputs does it take?

FieldTypeDefaultDescription
termstringcoffeeWhat to search for, e.g. 'coffee', 'plumbers', 'sushi'.
locationstringSan Francisco, CACity, neighborhood, address or ZIP — e.g. 'San Francisco, CA'. Yelp resolves it server-side.
includeDetailsbooleanfalseFetch the full business page (all attributes, hours, health score, owner info) for each result.
includeReviewsbooleanfalseFetch reviews and the per-language review-count summary for each result.
maxItemsinteger40Maximum number of businesses to return (0 = as many as the API paginates).
proxyConfigurationobjectApify ProxyRoute requests through a proxy (Apify Proxy by default).

Example input

{
"term": "coffee",
"location": "San Francisco, CA",
"includeDetails": false,
"includeReviews": false,
"maxItems": 40,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}

📤 What does a result row look like?

Each result is a JSON object like this:

{
"id": "24ym9XJUS2i9JlSFEJeZ2w",
"alias": "the-coffee-movement-san-francisco",
"name": "The Coffee Movement",
"url": "https://www.yelp.com/biz/the-coffee-movement-san-francisco",
"rating": 4.5,
"unrounded_rating": 4.6,
"review_count": 750,
"price_level": "$$",
"price": 2,
"categories": [
{
"name": "Coffee & Tea",
"alias": "coffee",
"is_restaurant": false
}
],
"phone": "4152373375",
"localized_phone": "(415) 237-3375",
"address": "1030 Washington St",
"city": "San Francisco",
"state": "CA",
"zip": "94108",
"country": "US",
"neighborhoods": [
"Nob Hill"
],
"latitude": 37.794825,
"longitude": -122.4103212,
"timezone": "America/Los_Angeles",
"is_closed": false,
"photo_count": 1885,
"photos": [
{
"id": "7xnjaGpC1Gn8eXC7lvPU3w",
"url": "https://s3-media0.fl.yelpcdn.com/bphoto/7xnjaGpC1Gn8eXC7lvPU3w/l.jpg",
"url_original": "https://s3-media0.fl.yelpcdn.com/bphoto/7xnjaGpC1Gn8eXC7lvPU3w/o.jpg",
"caption": "Cortado (~$4)",
"width": 2800,
"height": 3733,
"type": "business"
},
{
"id": "phipK7re5PrtBOZXi5jEHw",
"url": "https://s3-media0.fl.yelpcdn.com/bphoto/phipK7re5PrtBOZXi5jEHw/l.jpg",
"url_original": "https://s3-media0.fl.yelpcdn.com/bphoto/phipK7re5PrtBOZXi5jEHw/o.jpg",
"caption": "Iced Vanilla Rosemary Latte (~$6)",
"width": 4284,
"height": 5712,
"type": "business"
},
"…+1 more"
],
"primary_photo": "https://s3-media0.fl.yelpcdn.com/bphoto/7xnjaGpC1Gn8eXC7lvPU3w/o.jpg",
"hours": [
"Mon-Fri 7:00 am - 2:00 pm",
"Sat-Sun 7:00 am - 4:00 pm"
],
"attributes": [
{
"id": "RestaurantsDelivery",
"label": "Offers Delivery",
"value": "No"
},
{
"id": "RestaurantsTakeOut",
"label": "Offers Takeout",
"value": "Yes"
},
"…+14 more"
],
"health_score": "Pass",
"menu_url": "https://www.thecoffeemovement.com/menu",
"website_url": "http://thecoffeemovement.com",
"reviews": [
{
"id": "DioPsvaDWXqGt4Xac01O_Q",
"rating": 5,
"text": "Coffee Movement is a spot for folks who truly appreciate the simplicity of a great espresso.\n\nI've been to Coffee Movement a couple of times and have thoroug…",
"language": "en",
"time_created": null,
"time_modified": 1781837480,
"feedback": {
"…": "3 fields"
},
"user": null
},
{
"id": "wMbh9da-2wW40vqejvkRsw",
"rating": 4,
"text": "The Coffee Movement is a small specialty coffee shop that focuses on doing a few things extremely well. We walked into a minimalist, compact space with limit…",
"language": "en",
"time_created": null,
"time_modified": 1781993163,
"feedback": {
"…": "3 fields"
},
"user": null
},
"…+8 more"
],
"review_summary": {
"language_review_counts": {
"en": 747,
"zh": 2,
"de": 1
},
"not_recommended_review_count": 46
}
}

Fields marked (detail) — attributes, health_score, health_score_detail, from_this_business, menu_url, website_url, share_url — are only populated when Include full business detail is on. reviews and review_summary come from Include reviews, which is a separate option.


🧾 Which fields does each row contain?

FieldTypeDescription
idtextBusiness ID
aliastextAlias
nametextName
urllinkYelp URL
ratingnumberRating
unrounded_ratingnumberUnrounded rating
review_countnumberReview count
price_leveltextPrice level
pricenumberPrice (1-4)
categoriesarrayCategories
phonetextPhone, digits only
localized_phonetextPhone formatted for the country
dialable_phonetextPhone as a dialable string
addresstextStreet address (line 1)
address2textStreet address (line 2)
localized_addresstextFull address as Yelp renders it
cross_streetstextCross streets
citytextCity
statetextState
ziptextZIP
countrytextCountry
neighborhoodsarrayNeighborhoods
latitudenumberLatitude
longitudenumberLongitude
timezonetextTimezone
is_closedbooleanPermanently closed
is_temp_closedbooleanTemporarily closed
is_chainbooleanPart of a chain
is_yelp_guaranteedbooleanCovered by Yelp Guaranteed
photo_countnumberPhoto count
video_countnumberVideo count
photosarrayPhotos (id, url, url_original, caption, width, height, type)
primary_photolinkPrimary photo
hoursarrayHours as display strings
hours_rawarrayHours as Yelp's structured objects
attributesarrayAttributes (detail)
health_scoretextHealth score (detail)
health_score_detailobjectHealth score with inspection metadata (detail)
from_this_businessobject"From this business" owner content (detail)
menu_urltextMenu URL (detail, when Yelp has one)
website_urllinkBusiness website (detail, when Yelp has one)
share_urllinkYelp share URL (detail, when Yelp has one)
reviewsarrayReviews (reviews)
review_summaryobjectReview counts per language + not-recommended count (reviews)

📖 What do the Yelp-specific fields mean?

  • alias — the slug Yelp uses in its own URLs, e.g. the-coffee-movement-san-francisco; url is built from it.
  • price / price_level — price is Yelp's 1-4 price band as a number; price_level is the same band as Yelp displays it ($, $$, $$$, $$$$).
  • rating / unrounded_rating — rating is the star rating rounded to the nearest half star (what the app shows); unrounded_rating is the raw average behind it.
  • health_score — the health-inspection result Yelp publishes for the business (e.g. Pass), only where the local health authority feeds Yelp that data.
  • not_recommended_review_count (in review_summary) — how many reviews Yelp's filter treats as not recommended; those reviews are not returned in reviews.
  • is_yelp_guaranteed — the flag Yelp sets when the business takes part in Yelp Guaranteed.

💰 How much does it cost?

This actor uses pay-per-event pricing: you pay only for the rows it actually delivers, layered by what you enable.

EventWhen it's chargedPrice
Business resultPer business returned from search (basic data — name, rating, address, categories, photos, etc.)$1.00 per 1,000 rows
Business detailsPer business, only when includeDetails is on and full detail was fetched+$1.00 per 1,000 rows
Business reviewsPer business, only when includeReviews is on and its reviews were fetched — billed per company, not per review+$1.00 per 1,000 rows

Enabling includeDetails and includeReviews together costs $3.00 per 1,000 businesses. Leave both off and you pay only the base $1.00 per 1,000. You're never charged for an enrichment call that failed to return data.


🔌 How do I run it from my own code?

Run it programmatically with the Apify API:

curl -X POST "https://api.apify.com/v2/acts/yelp-api-scraper/runs?token=YOUR_TOKEN" \
-H 'Content-Type: application/json' \
-d '{
"term": "coffee",
"location": "San Francisco, CA",
"includeDetails": false,
"includeReviews": false,
"maxItems": 40,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}'

Or with the Apify CLI: apify call yelp-api-scraper -i input.json -o.


❓ FAQ

Do I need a Yelp account or API key?

No. The scraper uses guest access to Yelp's mobile API — no login, no Fusion API key, no quota.

What do I type for the location?

Anything a person would: a city ('San Francisco, CA'), a ZIP code, a neighborhood or an address. Yelp resolves it server-side.

Which countries does this work in?

Only countries Yelp itself operates in — Yelp has no listings outside these, so any other location fails with "Bad location":

United States, Canada, Austria, Belgium, Chile, Czech Republic, Denmark, France, Germany, Greece, Iceland, Indonesia, Ireland, Italy, Malaysia, Mexico, Netherlands, New Zealand, Norway, Philippines, Poland, Singapore, South Africa, Spain, Sweden, Switzerland, Turkey, United Kingdom.

Coverage is patchy and thin outside the US/Canada — expect the most complete results there.

Why is a proxy recommended?

Yelp's edge blocks datacenter IPs. Use Apify Proxy (default) or supply your own residential/ISP proxy so requests come from a clean IP.

Can I get full reviews and hours?

Yes — enable 'Include full business detail' and 'Include reviews' to fetch complete hours, attributes, health score, owner info and reviews per business.

Can I run it on a schedule?

Yes. Add the actor to an Apify schedule (hourly, daily, weekly) and each run re-scrapes the same term and location, so you can track ratings and review counts over time. Every run is billed by the rows it delivers.

How do I keep the cost bounded?

Set maxItems — it stops the run at that many businesses (default 40). Leave it at 0 only if you want every page Yelp will serve. Enrichment is opt-in per option, so a search-only run stays at the base per-row price.

What happens if a business's detail or review fetch fails?

The row is still pushed with everything the search card gave, a warning naming the business appears in the log, and no enrichment event is charged for it — you only pay for enrichment that actually returned data. If a later page of search results keeps failing, the run stops paginating and keeps the rows already collected instead of failing.


🛠️ How does it work?

The actor impersonates Yelp's official app/site and calls its private API the same way the app does, then normalises each response into the flat record above. No browser, no HTML scraping — just clean, structured data.


📌 Good to know

  • Scrape only public local business listing data and respect Yelp.com's Terms of Service and robots policy.
  • For personal data, comply with GDPR/CCPA and applicable law — you are the data controller.
  • Fields can be null when Yelp doesn't expose them for a given record.
  • Input is a search term plus a location — there is no "scrape this one Yelp URL" mode. Search for the business by name and its city to get its row.

⭐ Found this useful?

Give the Yelp Scraper a star on Apify and check out my other apify-*-api-scraper actors.