⭐ Fast Yelp Reviews Scraper API: Extract Review Text, Ratings & Reviewer Profiles at Scale

The Yelp Reviews Scraper is an Apify Actor that extracts full review text, star ratings, reviewer profiles, and reaction counts from any Yelp business listing—without requiring a Yelp API key. This yelp review scraper api collects 15+ data fields per review including review date, useful/funny/cool counts, and complete reviewer information.

Why scrapers instead of the Yelp API? Yelp removed the reviews endpoint from its free Fusion API tier, making scrapers the primary accessible alternative for developers who need review data. No API key required—extract review text, ratings, and reviewer profiles at scale. First 40 reviews FREE with every query.

Use this yelp review data extractor for sentiment analysis, reputation monitoring, competitor research, or NLP pipeline training. Download Yelp reviews to JSON, CSV, or Excel for customer feedback analysis, voice of customer (VoC) research, and brand monitoring.

💰 Event-Based Pricing: $0.016/query (first 40 reviews FREE) | $0.0004/review | 🔓 No Yelp API key required

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📋 Table of Contents

1. What Does the Yelp Reviews Scraper Do?
2. Features & Capabilities
3. Recommended vs. Non-Recommended Reviews
4. Pricing
5. Input Parameters
6. Yelp Reviews Scraper Strategy Guide
7. Output Format
8. Custom Map Function
9. Related Scrapers
10. Automated Monitoring & Scheduling
11. Demo Mode & Free Testing
12. Troubleshooting
13. Use Cases & Industries
14. Quick Start Guide
15. FAQ
16. Contact

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🧭 What Does the Yelp Reviews Scraper Do?

Yelp reviews scraper is a tool that automates the extraction of customer reviews, star ratings, reviewer profiles, and engagement metrics from Yelp business listings. This yelp review data extractor enables sentiment analysis, reputation monitoring, and competitive research by collecting review text, ratings, reaction counts, and full reviewer information from any Yelp business page.

The Yelp Review Scraper API retrieves comprehensive review data—including review IDs, review URLs, star ratings (1-5), review text, publish dates, useful/funny/cool counts, reviewer usernames, reviewer locations, review counts, friend counts, and Elite status—by business URL or place ID. This tool operates without requiring Yelp Fusion API keys, OAuth authentication, or complex setup.

This scrape yelp reviews tool serves as a practical alternative to the official Yelp Fusion API for bulk review collection. Yelp removed the reviews endpoint from its free API tier—this scraper fills that gap. No API quotas, no rate limit headaches—just straightforward review data access through Apify's infrastructure. Extract Yelp reviews from any business in minutes.

Why Choose This Yelp Reviews Scraper?

Feature	This Scraper	Yelp Fusion API	Other Scrapers
API Key Required	❌ No	✅ Yes	Varies
Reviews Endpoint	✅ Full text	❌ Removed from free tier	Varies
Free Tier	40 reviews FREE	Limited/paid only	Limited
Data Fields	15+ fields per review	3 fields max	5-10 fields
Reviewer Profiles	✅ Full extraction	❌ Not available	⚠️ Partial
Reaction Counts	✅ Useful/funny/cool	❌ Not available	❌ Not available
Elite Status	✅ Supported	❌ Not available	❌ Not available
Export Formats	JSON, CSV, Excel	JSON only	Varies

What Data Can You Extract?

Review-Level Data

• Review ID — Unique Yelp review identifier
• Review URL — Direct link to the review
• Review text — Full review body/message
• Star rating (1-5) — Individual review rating
• Review date — When the review was published
• Review language — Language of the review text
• Useful count — Number of "useful" reactions
• Funny count — Number of "funny" reactions
• Cool count — Number of "cool" reactions
• Review photos — Images attached to the review
• Is recommended — Whether Yelp displays this review prominently

Reviewer-Level Data

• Reviewer ID — Unique Yelp user identifier
• Reviewer username — Display name
• Reviewer profile URL — Link to reviewer's profile
• Reviewer location — City, state of reviewer
• Reviewer review count — Total reviews written by this user
• Reviewer friend count — Number of Yelp friends
• Reviewer photo count — Total photos uploaded
• Is Yelp Elite member — Elite reviewer status
• Elite years — Years of Elite membership
• Member since date — When reviewer joined Yelp

Business Context Data

• Business ID — Unique Yelp business identifier
• Business name — Name of the reviewed business
• Business URL — Link to business listing
• Overall star rating — Business average rating
• Total review count — Total reviews for business
• Business city, state — Location
• Business category — Industry/type
• Price range — $ to $$$$ indicator

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⚡ Features & Capabilities

6 Sort Options for Targeted Extraction

Sort Option	What It Returns	Best For
yelp	Yelp's default recommended order	General analysis
newest	Most recent reviews first	Trend monitoring, new feedback
oldest	Oldest reviews first	Historical analysis
highestRating	5-star reviews first	Positive sentiment extraction
lowestRating	1-star reviews first	Negative review tracking, pain point discovery
elites	Yelp Elite reviewer reviews only	High-quality, detailed reviews

Core Features

• 🚀 High-Speed Extraction — Extract hundreds of reviews efficiently
• 🆓 Free Tier — First 40 reviews FREE with every query
• 🔓 No API Key — No Yelp Fusion API key or OAuth required
• ⭐ Full Review Text — Complete review body, not truncated excerpts
• 👤 Reviewer Profiles — Full reviewer data including Elite status
• 📊 Reaction Counts — Useful, funny, cool engagement metrics
• 📁 Multiple Export Formats — JSON, CSV, Excel direct download
• ⚙️ Custom Transformations — Shape output with custom map functions
• 🔗 API Integration — RESTful API for Python, Node.js, or any HTTP client
• ⏰ Scheduled Runs — Automate recurring extraction for reputation monitoring

Agents Review Intelligence Suite

This yelp reviews scraper is part of the Agents cross-platform review intelligence suite on Apify—built by ex-Big Tech engineers and data specialists for precision at scale:

Tool	What It Extracts	Best For
⭐ Yelp Reviews Scraper	Reviews, ratings, reviewer profiles, reactions	Sentiment analysis (You are here)
🏪 Yelp Business Scraper	Business profiles, ratings, amenities, contact	Business data, lead generation
⭐ Trustpilot Reviews Scraper	Reviews, TrustScores, company replies	SaaS/B2B analysis
⭐ TripAdvisor Reviews Scraper	Hotel/restaurant reviews, ratings	Hospitality intelligence

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🔍 Recommended vs. Non-Recommended Reviews

This is critical to understand: Yelp filters a significant portion of reviews into a "not recommended" section that most users never see. These filtered reviews don't appear in the main review feed and aren't counted in the business's displayed review count.

Why Does Yelp Filter Reviews?

Yelp's recommendation software evaluates reviews based on:

• Reviewer activity — New accounts or inactive users get filtered
• Review patterns — Sudden spikes in reviews may be flagged
• Content quality — Very short or generic reviews
• Account verification — Unverified accounts

What This Scraper Extracts

Review Type	Extracted?	Notes
Recommended reviews	✅ Yes	Main review feed, counted in totals
Non-recommended reviews	⚠️ Partial	Available via direct URL if accessible

Why This Matters for Your Analysis

• Sentiment analysis — Filtered reviews may skew toward negative (frustrated users)
• Review fraud detection — Non-recommended reviews often contain fake review patterns
• Complete picture — Understanding both sets gives fuller business intelligence
• Competitor analysis — Competitors may have significant hidden negative reviews

Pro Tip: When analyzing a business, note the gap between "total reviews" and visible reviews—a large gap may indicate review quality issues or aggressive filtering.

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💰 Pricing

Event-Based Cost Structure

Pay only for what you scrape—no subscriptions, no hidden fees. This yelp sentiment analysis scraper uses transparent pay-per-event pricing:

Event Type	Price	What's Included
Query	$0.016/business	First 2 pages (~40 reviews) FREE
Dataset Item	$0.0004/review	Each review in results

Cost Examples

Scenario	What You Pay
1 business, 40 reviews	$0.016 (all free)
1 business, 100 reviews	$0.04
5 businesses, 200 reviews total	$0.16
10 businesses, 50 reviews each	$0.36
1 business, 500 reviews	$0.22

Why This Pricing Works

• No monthly fees — Pay only for reviews extracted
• First 40 reviews FREE — Generous free tier with every query
• Predictable costs — Calculate exact spend before running
• Scales linearly — Same rate whether extracting 100 or 10,000 reviews

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🍚 Input Parameters

Configure your yelp reviews scraper extraction with these parameters. Whether you want to scrape Yelp reviews by URL or place ID, these settings control what data you collect.

Field	Type	Description	Default
startUrls	array	Direct Yelp business URLs to extract reviews from.	[]
placeIds	array	Yelp place IDs (alternative to URLs).	[]
sortBy	string	Review order: yelp, newest, oldest, highestRating, lowestRating, elites.	yelp
maxItems	number	Maximum reviews to extract per business.	30
customMapFunction	string	JavaScript function to transform output. Not for filtering.	null

Parameter Examples

Extract Reviews from Single Business:

{
  "startUrls": ["https://www.yelp.com/biz/restaurant-name-city"],
  "maxItems": 100
}

Extract Newest Reviews (Trend Monitoring):

{
  "startUrls": ["https://www.yelp.com/biz/restaurant-name-city"],
  "sortBy": "newest",
  "maxItems": 50
}

Extract Negative Reviews Only (Pain Point Discovery):

{
  "startUrls": ["https://www.yelp.com/biz/restaurant-name-city"],
  "sortBy": "lowestRating",
  "maxItems": 100
}

Extract Elite Reviews Only (High-Quality Feedback):

{
  "startUrls": ["https://www.yelp.com/biz/restaurant-name-city"],
  "sortBy": "elites",
  "maxItems": 50
}

Extract from Multiple Businesses:

{
  "startUrls": [
    "https://www.yelp.com/biz/business-1",
    "https://www.yelp.com/biz/business-2",
    "https://www.yelp.com/biz/business-3"
  ],
  "maxItems": 100
}

---

📖 Yelp Reviews Scraper Strategy Guide

Master the art of yelp review data extraction with these proven strategies. Whether you're building sentiment analysis pipelines, monitoring reputation, or researching competitors, this guide covers the optimal approach for each use case.

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🎯 Strategy 1: Sentiment Analysis & NLP Pipeline

Goal: Build datasets for sentiment analysis, opinion mining, or NLP model training

Best Input:

{
  "startUrls": ["https://www.yelp.com/biz/restaurant-name-city"],
  "sortBy": "yelp",
  "maxItems": 500
}

Why This Works:

• Extract full review text for sentiment analysis processing
• Collect star ratings as ground truth labels for ML training
• Build NLP pipeline datasets with real customer language
• Support opinion mining and aspect-based sentiment analysis

Pro Tips:

• Use sortBy: "yelp" for balanced sentiment distribution
• Extract 500+ reviews for statistically significant datasets
• Include reaction counts (useful/funny/cool) as engagement signals

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🎯 Strategy 2: Reputation Monitoring & Brand Tracking

Goal: Monitor new reviews and track reputation changes over time

Best Input:

{
  "startUrls": ["https://www.yelp.com/biz/your-business-name"],
  "sortBy": "newest",
  "maxItems": 20
}

Why This Works:

• Capture new reviews as they appear for reputation management
• Track review velocity (how fast new reviews arrive)
• Enable rapid review response strategy for negative feedback
• Support brand monitoring workflows

Pro Tips:

• Schedule daily or weekly runs via Apify Console
• Set up webhooks for automated alerts on new reviews
• Compare against competitor review velocity

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🎯 Strategy 3: Competitor Analysis & Benchmarking

Goal: Analyze competitor strengths, weaknesses, and customer sentiment

Best Input:

{
  "startUrls": [
    "https://www.yelp.com/biz/competitor-1",
    "https://www.yelp.com/biz/competitor-2",
    "https://www.yelp.com/biz/competitor-3"
  ],
  "sortBy": "lowestRating",
  "maxItems": 100
}

Why This Works:

• Extract negative reviews for competitor analysis insights
• Identify competitor weaknesses for competitive benchmarking
• Discover customer pain points you can address
• Build competitive intelligence datasets

Pro Tips:

• Extract both lowestRating and highestRating for full picture
• Analyze review text for recurring complaint themes
• Compare reaction counts across competitors

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🎯 Strategy 4: Voice of Customer (VoC) Research

Goal: Understand customer needs, preferences, and pain points

Best Input:

{
  "startUrls": ["https://www.yelp.com/biz/business-name"],
  "sortBy": "elites",
  "maxItems": 200
}

Why This Works:

• Elite reviewers write detailed, thoughtful reviews
• Extract high-quality feedback for customer feedback analysis
• Support voice of customer (VoC) research initiatives
• Enable product/service improvement insights

Pro Tips:

• Elite reviews often contain specific, actionable feedback
• Analyze reviewer profiles for demographic insights
• Cross-reference with reaction counts for most impactful reviews

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📊 Output Format

Clean, structured JSON output with comprehensive review data. Each review object contains 15+ fields covering review content, ratings, reactions, and full reviewer profiles—everything you need to extract Yelp reviews for analysis.

Review Output Example

The following output shows the key fields extracted from each Yelp review:

{
  "businessId": "RJNAeNA-209sctUO0dmwuA",
  "type": "review",
  "reviewUrl": "https://www.yelp.com/biz/RJNAeNA-209sctUO0dmwuA?hrid=W4jnl3_8iCBFdYeMsOej3g",
  "rating": 4,
  "message": "The serving sizes are massive. The cheese curds are great. Our server was very nice. The fries could've been in the fryer for longer. They get stale after ten minutes. The burger was good for a thick patty. It's a little loud but it has a bar. The TVs have captioning at least.",
  "language": "en",
  "publishedAt": "2025-03-10T07:41:50-05:00",
  "photos": [
    { "url": "https://s3-media0.fl.yelpcdn.com/bphoto/.../348s.jpg", "caption": null }
  ],
  "reactions": {
    "useful": 0,
    "funny": 0,
    "cool": 0
  },
  "reviewer": {
    "id": "DQ67yxuUYUMiIWHHKP2VcQ",
    "reviewerUrl": "https://www.yelp.com/user_details?userid=DQ67yxuUYUMiIWHHKP2VcQ",
    "name": "Wendy H.",
    "location": "Chicago, United States",
    "friendCount": 51,
    "photoCount": 1940,
    "reviewCount": 339
  },
  "scrapedAt": "2025-04-04T12:17:58.564Z"
}

Field Availability Guarantees

Field	Availability	Data Type	Notes
businessId	✅ Always	string	Unique Yelp business ID
reviewUrl	✅ Always	string	Direct link to review
rating	✅ Always	number	1-5 star rating
message	✅ Always	string	Full review text
language	✅ Always	string	Review language code
publishedAt	✅ Always	string	ISO 8601 date
reactions	✅ Always	object	Useful/funny/cool counts
reviewer.name	✅ Always	string	Reviewer display name
reviewer.location	⚠️ Sometimes	string	If reviewer shares location
reviewer.reviewCount	✅ Always	number	Total reviews by user
reviewer.friendCount	✅ Always	number	Yelp friends
reviewer.photoCount	✅ Always	number	Photos uploaded
photos	⚠️ Sometimes	array	If review has photos

Export Options

• JSON: Complete datasets with nested objects—ideal for NLP pipeline processing
• CSV: Direct download from Apify Console—perfect for export Yelp reviews to CSV
• Excel: Spreadsheet-compatible format for business users

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🧩 Custom Map Function

Transform output using the customMapFunction parameter. This JavaScript function receives each review object and returns your desired format—flatten nested data, extract specific fields, or restructure for your sentiment analysis pipeline.

Important: Custom map function is for data transformation—not for filtering. Filtering items may result in automatic restrictions.

Example: Sentiment Analysis Output

(object) => ({
  reviewId: object.reviewUrl?.split("hrid=")?.[1],
  text: object.message,
  rating: object.rating,
  date: object.publishedAt,
  language: object.language,
  usefulCount: object.reactions?.useful,
  funnyCount: object.reactions?.funny,
  coolCount: object.reactions?.cool,
  reviewerName: object.reviewer?.name,
  reviewerLocation: object.reviewer?.location,
  reviewerTotalReviews: object.reviewer?.reviewCount
})

Common Transformations

Use Case	What to Extract
Sentiment Analysis	message, rating, publishedAt, language
Reputation Monitoring	rating, message, publishedAt, reviewer.name
NLP Training Data	message, rating (as label), language
Competitor Analysis	rating, message, reactions, publishedAt

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🌴 Related Scrapers

Expand your Yelp data extraction capabilities with our complete suite of yelp review data extractor tools. Each focuses on specific data types for comprehensive business intelligence.

📦 Agents Review Intelligence Suite

All tools below are built and maintained by Agents—a team of ex-Big Tech engineers, former ad agency strategists, and data specialists delivering intelligence, precision, and impact at scale.

Tool	What It Extracts	Best For
⭐ Yelp Reviews Scraper	Reviews, ratings, reviewer profiles, reactions	Sentiment analysis (You are here)
🏪 Yelp Business Scraper	Business profiles, ratings, amenities, contact	Business data, lead generation
⭐ Trustpilot Reviews Scraper	Reviews, TrustScores, company replies	SaaS/B2B analysis
⭐ TripAdvisor Reviews Scraper	Hotel/restaurant reviews, ratings	Hospitality intelligence

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⏰ Automated Monitoring & Scheduling

New Yelp reviews appear daily. For reputation management and brand monitoring, set up automated recurring runs to capture new reviews as they're posted.

Why Schedule Review Extraction?

• Reputation monitoring — Catch negative reviews early for rapid response
• Review velocity tracking — Monitor how fast new reviews arrive
• Competitive intelligence — Track competitor review trends over time
• Compliance — Maintain audit trails of review history

How to Set Up Scheduled Runs

1. Open Apify Console — Navigate to your Actor
2. Click "Schedules" — Create a new schedule
3. Set frequency — Daily, weekly, or custom cron expression
4. Configure input — Use sortBy: "newest" with low maxItems
5. Enable webhooks — Get notified when new reviews are found

Recommended Schedule Settings

Use Case	Frequency	sortBy	maxItems
Daily monitoring	Every 24 hours	newest	10-20
Weekly digest	Every 7 days	newest	50
Competitor tracking	Every 3 days	newest	30
Franchise monitoring	Every 24 hours	newest	10 per location

Webhook Integration

Set up webhooks to receive notifications when runs complete:

• Slack — Post new reviews to a channel
• Email — Send digest of new reviews
• Custom API — Trigger your own processing pipeline
• Zapier/Make — Connect to 1000+ apps

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🆓 Demo Mode & Free Testing

If you run on Apify's Free plan, you can still use this yelp reviews scraper with limited results. For unrestricted usage and to unlock the full power of this yelp review scraper api at scale, subscribe to a paid Apify plan.

Free Plan Benefits:

• ✅ First 40 reviews FREE with every query
• ✅ Test the API before committing to larger runs
• ✅ Perfect for validating output format and data quality
• ✅ No credit card required to start

Upgrade for Full Access:

• 🚀 Unlimited review extraction from Yelp
• 🚀 High-speed extraction for thousands of reviews
• 🚀 API access for automated workflows and integrations
• 🚀 Scheduled runs with webhooks and cron jobs

For unrestricted usage, subscribe to a paid Apify plan.

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🔧 Troubleshooting

Having trouble with your extraction? Here are solutions to common issues when you scrape Yelp reviews and extract review data.

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❓ Getting Fewer Reviews Than Expected?

Problem: Extraction returns fewer reviews than anticipated

Solutions:

✅ Check maxItems setting—increase the limit if you need more reviews
✅ Try different sortBy options—newest, oldest, highestRating, lowestRating, elites
✅ Verify business has reviews—some businesses have limited review counts
✅ Check for filtered reviews—Yelp hides "not recommended" reviews

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❓ No Results Returned?

Problem: Extraction completes but returns empty dataset

Solutions:

✅ Verify input format—provide at least one URL or place ID
✅ Check URL validity—must be valid Yelp business URLs
✅ Confirm business exists—test the URL in your browser first
✅ Check business has reviews—new businesses may have zero reviews

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💰 Unexpected Costs?

Problem: Your run cost more than anticipated

Key pricing to remember:

Scenario	What You Pay
1 business, 40 reviews	$0.016 (all free)
1 business, 100 reviews	$0.04
5 businesses, 200 reviews	$0.16

Cost control tips:

✅ Use maxItems to cap spending—set hard limits on total extraction
✅ Start with smaller batches—test with 40-50 reviews first
✅ First 40 reviews are FREE—included with every query

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❓ Missing Reviewer Data?

Problem: Some reviewer fields are missing

Solutions:

✅ Open Storage tab—full datasets available in Apify Console
✅ Check field availability—some reviewers hide location
✅ Verify reviewer profile exists—deleted accounts may have partial data

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🎯 Use Cases & Industries

This yelp reviews scraper serves professionals who need fast, structured review intelligence—from sentiment analysis to reputation monitoring and competitive research. Use it to extract Yelp reviews for any customer feedback analysis need.

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🎯 Sentiment Analysis & Opinion Mining

Build NLP datasets from real customer reviews.

• Extract full review text for sentiment analysis processing
• Collect star ratings as ground truth labels for ML training
• Build opinion mining datasets with real customer language
• Support aspect-based sentiment analysis pipelines

Example: Extract 1,000 restaurant reviews for NLP pipeline training.

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🔍 Reputation Management & Brand Monitoring

Monitor and respond to customer feedback.

• Track new reviews for reputation management workflows
• Enable rapid review response strategy for negative feedback
• Monitor review velocity and rating trends
• Support brand monitoring across multiple locations

Example: Daily monitoring of your business for negative review tracking.

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📊 Competitor Analysis & Benchmarking

Analyze competitor strengths and weaknesses.

• Extract competitor reviews for competitive benchmarking
• Identify customer pain points for competitor analysis
• Build competitive intelligence datasets
• Discover opportunities from competitor weaknesses

Example: Analyze 500 competitor reviews for pain point discovery.

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🗣️ Voice of Customer (VoC) Research

Understand customer needs and preferences.

• Collect feedback for voice of customer (VoC) research
• Support customer feedback analysis initiatives
• Enable product/service improvement insights
• Build customer persona research datasets

Example: Extract Elite reviews for customer feedback analysis.

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🏨 Hospitality & Restaurant Intelligence

Gather insights for hospitality industry analysis.

• Track restaurant research trends and ratings
• Analyze hospitality intelligence data
• Monitor service quality across locations
• Research cuisine trends and customer preferences

Example: Analyze 200 restaurant reviews for hospitality consulting.

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📍 Local SEO & Review Velocity Tracking

Audit local business review performance.

• Track local SEO auditing metrics
• Monitor review velocity tracking over time
• Analyze review patterns and trends
• Identify optimization opportunities

Example: Track review velocity for local SEO improvements.

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🏢 Franchise Performance Monitoring

Monitor multi-location business performance.

• Track franchise performance monitoring across locations
• Compare review ratings between locations
• Identify underperforming locations
• Support operational improvements

Example: Monitor 50 franchise locations for multi-location analysis.

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💰 Investment Due Diligence

Research business health through review trends.

• Assess investment due diligence data
• Analyze review trends as business health signals
• Research customer satisfaction levels
• Evaluate business reputation

Example: Analyze review trends for investment due diligence.

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🔬 Academic Research & NLP Training

Build datasets for research and ML training.

• Collect data for academic research projects
• Build machine learning training data sets
• Support computational social science research
• Create NLP dataset building pipelines

Example: Extract 10,000 reviews for NLP dataset building.

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🕵️ Review Fraud Detection

Analyze review patterns for authenticity.

• Support review fraud detection analysis
• Identify fake review analysis patterns
• Analyze reviewer behavior for anomalies
• Build fraud detection datasets

Example: Analyze reviewer patterns for fake review analysis.

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💡 Quick Start Guide

Simple setup—whether extracting reviews from a single business or building a dataset of thousands. This yelp reviews scraper apify tool makes it easy to scrape Yelp reviews in minutes.

Copy-Paste Examples by Persona

For Data Scientists (Sentiment Analysis):

{
  "startUrls": ["https://www.yelp.com/biz/restaurant-name"],
  "sortBy": "yelp",
  "maxItems": 500
}

→ Run, then export Yelp reviews to CSV for NLP processing.

For Developers (API → JSON):

from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("agents/yelp-reviews").call(run_input={
    "startUrls": ["https://www.yelp.com/biz/restaurant-name"],
    "sortBy": "newest",
    "maxItems": 100
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

For Marketing Teams (Reputation Monitoring):

{
  "startUrls": ["https://www.yelp.com/biz/your-business-name"],
  "sortBy": "newest",
  "maxItems": 20
}

→ Schedule daily runs for automated reputation monitoring.

3 Steps to Get Started

1. Add input: Paste business URL or place ID
2. Configure: Set maxItems limit and sortBy preference
3. Run & Export: Click Start, then download JSON/CSV from Storage tab

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📋 Method 1: Extract by Business URL

Best for: Single business analysis, reputation monitoring

{
  "startUrls": ["https://www.yelp.com/biz/business-name-city"],
  "maxItems": 100
}

---

📋 Method 2: Extract Newest Reviews

Best for: Trend monitoring, reputation management

{
  "startUrls": ["https://www.yelp.com/biz/business-name-city"],
  "sortBy": "newest",
  "maxItems": 50
}

---

📋 Method 3: Extract from Multiple Businesses

Best for: Competitor analysis, market research

{
  "startUrls": [
    "https://www.yelp.com/biz/business-1",
    "https://www.yelp.com/biz/business-2",
    "https://www.yelp.com/biz/business-3"
  ],
  "maxItems": 100
}

---

🔧 Best Practices for Yelp Review Scraping

✅ DO:

• Start with 40-50 reviews—test before scaling
• Use sortBy strategically—match sort to your use case
• Set maxItems—control costs by limiting total extraction
• Use free tier first—40 reviews FREE with every query

❌ DON'T:

• Use customMapFunction for filtering—this causes automatic blocking
• Expect all reviews—Yelp filters "not recommended" reviews
• Forget to check URL format—must be valid Yelp business URLs

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❓ Frequently Asked Questions

What is a Yelp Reviews Scraper API?

A yelp reviews scraper api is a tool that programmatically extracts customer reviews, star ratings, reviewer profiles, and engagement metrics from Yelp business listings. This yelp review data extractor serves as an alternative to the Yelp Fusion API—which removed the reviews endpoint from its free tier.

Do I need a Yelp API key?

No! This yelp reviews scraper requires no Yelp API key, no Yelp Fusion API access, and no OAuth authentication. Start extracting review data immediately without any Yelp developer account. Yelp removed the reviews endpoint from its free API tier—this scraper fills that gap.

How much does it cost to scrape Yelp reviews?

$0.016 per query (first 40 reviews FREE), $0.0004 per additional review. Extract 100 reviews for about $0.04—significantly cheaper than building custom scrapers.

What Yelp review data can I extract?

Extract review text, star ratings (1-5), review dates, useful/funny/cool counts, reviewer usernames, reviewer locations, reviewer review counts, friend counts, photo counts, Elite status, and review photos—all in structured JSON or CSV format.

Can I export Yelp reviews to CSV?

Yes. Download Yelp reviews directly from Apify Console in JSON, CSV, or Excel format. Perfect for export Yelp reviews to CSV workflows and data analysis.

Can I scrape Yelp reviews by location?

Use the Yelp Business Scraper to find businesses by location first, then extract reviews from those businesses. This enables scrape Yelp reviews by location workflows.

Can I use Python to scrape Yelp reviews?

Yes! Full Python support via the Apify Client library. See the Quick Start Guide above for yelp reviews scraper apify Python integration.

Does Yelp have a reviews API?

Yelp's Fusion API removed the reviews endpoint from its free tier. This scraper provides full review text extraction without API key requirements—making it the primary accessible alternative for developers.

Can I scrape Yelp Elite reviews only?

Yes! Use sortBy: "elites" to extract only reviews from Yelp Elite members. Elite reviewers typically write more detailed, thoughtful reviews.

How do I do sentiment analysis on Yelp reviews?

Extract reviews using this yelp sentiment analysis scraper, then process the message field with your NLP pipeline. Star ratings (1-5) serve as ground truth labels for supervised learning.

Can I monitor new Yelp reviews automatically?

Yes! Set up scheduled runs in Apify Console with sortBy: "newest" to capture new reviews as they're posted. Enable webhooks for automated alerts.

What is the difference between recommended and non-recommended Yelp reviews?

Yelp filters some reviews into a "not recommended" section based on reviewer activity, review patterns, and account verification. See the Recommended vs. Non-Recommended Reviews section for details.

Can I extract all reviews from a Yelp business?

Yes—for recommended reviews. Set maxItems to a high number to extract all visible reviews. Note that Yelp's "not recommended" reviews are filtered and may not be fully accessible.

Is this legal to use?

This tool extracts publicly available data from Yelp. Always ensure your use case complies with Yelp's Terms of Service and applicable data protection regulations.

What's the difference between this and Yelp Fusion API?

Feature	This Scraper	Yelp Fusion API
API Key Required	❌ No	✅ Yes
Reviews Endpoint	✅ Full text	❌ Removed from free tier
Free Tier	40 reviews FREE	Limited/paid only
Reviewer Profiles	✅ Full	❌ Not available
Reaction Counts	✅ Yes	❌ No

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📞 Contact

Built by Agents — Where others search, we uncover. Our team of ex-Big Tech engineers, growth hackers, and data specialists builds high-performance scraping tools engineered for speed, precision, and reliability.

For questions or further assistance:

• Email: Reach out at whoaretheagents@gmail.com
• Discord: Join our community to connect with our support team

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Ready to start extracting Yelp review data? With transparent event-based pricing, first 40 reviews FREE, and no API key required, this Yelp Reviews Scraper API by Agents is the ultimate tool for sentiment analysis, reputation monitoring, competitor research, and NLP pipeline training. Start scraping today! ⭐