Ultimate Yelp Scraper

A powerful Yelp data extraction tool that collects business details, events, reviews, menus, images, and more at scale. Built for reliability and flexibility, this scraper helps analysts, researchers, and developers quickly gather structured Yelp data. Ideal for automating lead generation, market research, and competitive analysis using Yelp’s public data.

     

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Introduction

The Ultimate Yelp Scraper automates the process of gathering structured data from Yelp pages including business listings, individual business details, events, collections, reviews, and photos. It solves the challenges of manual data collection, inconsistent information formats, and time-consuming research tasks. Designed for data professionals, engineers, and researchers who need clean, high-volume Yelp data on demand.

Why This Scraper Matters

• Automates complex multi-page Yelp navigation.
• Extracts consistent, structured data for analytics.
• Supports search queries, lists, collections, and event pages.
• Handles large-scale review and photo scraping.
• Offers user-defined limits for speed and cost control.

Features

Feature	Description
Unlimited Review Scraping	Collect all available reviews with pagination controls.
Detailed Business Data	Extracts addresses, photos, menus, amenities, hours, categories, and more.
Flexible Search	Supports keyword and location-based searches.
Event Scraping	Retrieves public Yelp event details and subscriber information.
Collections Scraping	Extracts user-made Yelp collections and their contents.
Photo Extraction	Optionally fetch all or limited photos per business.
Proxy Support	Built-in proxy configuration for stable and safe operation.
Extendable Output	Custom mapping and jQuery-based extraction extensions.

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What Data This Scraper Extracts

Field Name	Field Description
businessId	Unique identifier of the business.
type	Object type such as business or event.
title	Business or event title/name.
url	Direct Yelp URL for the entity.
rating	Star rating value.
reviewCount	Number of reviews on Yelp.
address	Full address object with formatted details.
coordinates	Latitude/longitude pairs for mapping.
categories	Array of business or event categories.
primaryPhoto	Main image URL of the entity.
reviews	Array of structured reviews with user and metadata.
operationHours	Daily operating hours.
amenities	Full list of available business amenities.
menu	Menu link if available.
website	Official business website.
phoneNumber	Contact number.
media	Array of available media URLs.
eventFields	Event-specific fields like date, price, description, subscribers.

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Example Output

{
  "businessId": "rbcOzsLyUv4D8H1VyfKhcQ",
  "type": "business",
  "url": "https://www.yelp.com/biz/good-grill-express-los-angeles-2",
  "title": "Good Grill Express",
  "rating": 2.9,
  "reviewCount": 44,
  "categories": ["Mexican", "Seafood", "American"],
  "address": {
    "city": "Los Angeles",
    "regionCode": "CA",
    "formatted": "210 E Olympic Blvd 108-127\nSte 127-108\nLos Angeles, CA 90015"
  },
  "reviews": [
    {
      "userName": "Johanna T.",
      "rating": 5,
      "review": "I have a business in the neighborhood..."
    }
  ]
}

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Directory Structure Tree

Ultimate Yelp Scraper/
├── src/
│   ├── index.js
│   ├── extractors/
│   │   ├── businessParser.js
│   │   ├── eventParser.js
│   │   ├── reviewParser.js
│   │   └── photoParser.js
│   ├── utils/
│   │   ├── request.js
│   │   └── helpers.js
│   └── config/
│       └── settings.example.json
├── data/
│   ├── sample-input.json
│   └── sample-output.json
├── package.json
└── README.md

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Use Cases

• Market analysts use it to collect local business metadata, enabling them to track trends and competitive landscapes.
• Restaurant consultants extract reviews and menus to understand customer sentiment and pricing patterns.
• Developers automate lead generation by pulling business information for sales pipelines.
• Researchers analyze event activity and community interactions using structured Yelp event data.
• Local marketing teams gather images, ratings, and feedback to improve business listings.

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FAQs

Q1: Can I limit the number of items the scraper collects? Yes—use the maxItems parameter to set a hard limit on the number of records collected.

Q2: Does the scraper support review pagination? Absolutely. You can control both the starting and ending review pages for precise review scraping.

Q3: Can I extract photos for each business? Yes. Enable includePhotos and optionally define endPageForPhotos to limit how many photo pages get scraped.

Q4: What kind of URLs can be used in startUrls? Business detail pages, search results, collections, event pages, and collection detail links are fully supported.

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Performance Benchmarks and Results

Primary Metric: Scrapes approximately 100 business listings in ~2 minutes under optimal network conditions.

Reliability Metric: Maintains a high success rate due to structured request handling and robust pagination logic.

Efficiency Metric: Typically consumes lightweight compute resources even with reviews and photos enabled, thanks to optimized request scheduling.

Quality Metric: Produces complete and consistent datasets with enriched metadata across business, reviews, photos, and event fields, ensuring high analytical value.

"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington Marketer ★★★★★

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