🕷️ Reviews

Google Review Scraper — Extract
Google Reviews Data Automatically

Extract customer reviews, star ratings, reviewer profiles, and business response data from Google Reviews — the most influential review platform in the world. Our Google Review scraper uses Google Maps as the data source, extracting reviews with full text, photos, and owner responses.

Quick Summary: Google Review Scraper

What it does: Automatically extracts structured data from Google Reviews.
Key data points: business name, overall star rating, individual review text (full content) and more.
Top use case: online reputation monitoring and management.
Delivery formats: CSV, Excel, JSON, API, or direct database sync.

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api.datascraper.in/v1/extract/google-review-scraper

const response = await scraper.run({
  platform: 'Google Reviews',
  format: 'json',
  fields: [
    'business_name',
    'overall_star_rating',
    'individual_review_text_full_content_',
    'reviewer_name',
    'reviewer_s_star_rating_for_this_review',
  ]
});

// Output (1000s of records generated)
[
  {
    "business_name": "Extracted Data...",
    "overall_star_rating": "Extracted Data...",
    "individual_review_text_full_content_": "Extracted Data...",
    "reviewer_name": "Extracted Data...",
  },
  ...
]

Data You Get

What We Extract From Google Reviews

Schema Definition

Ready for Export

`"business_name":`	Business name and Google Maps Place ID
`"overall_star_rating":`	Overall star rating and total review count
`"individual_review_text_full_content_":`	Individual review text (full content)
`"reviewer_name":`	Reviewer name and Google profile link
`"reviewer_s_star_rating_for_this_review":`	Reviewer's star rating for this review
`"review_date":`	Review date and time
`"review_photos_image_urls_":`	Review photos (image URLs)
`"business_owner_response_text":`	Business owner response text and date
`"helpful_votes_useful_count_":`	Helpful votes ("useful" count)
`"reviewer_s_local_guide_status":`	Reviewer's local guide status and level
`"review_language":`	Review language and detected language
`"review_sentiment_keywords":`	Review sentiment keywords

★Custom fields & specific attributes available on request.

Use Cases

Why Businesses Use Our Google Review Scraper

Online reputation monitoring and management

Competitor review analysis and benchmarking

Customer feedback dataset for NLP/sentiment AI

Local SEO performance tracking

Brand health monitoring across locations

Process

How Our Google Review Scraper Works

📋

Share Requirements

Tell us which Google Reviews pages to target, what fields you need, and how often.

⚙️

We Build the Scraper

Our engineers configure the Google Review Scraper with proxy rotation, anti-bot bypass, and data cleaning.

📦

Receive Clean Data

Structured Google Reviews data delivered in your preferred format — CSV, JSON, API, or database.

Why DataScraper?

DataScraper vs Building It Yourself

You're too big for manual copy-paste, too small to justify a full scraping infrastructure team. DataScraper is built for exactly that gap.

Feature	Build Yourself	SaaS Tool	✓ DataScraper
Setup Time	2–4 weeks	Minutes	48 hours
Anti-Bot Handling	Manual	Limited	Enterprise proxies
Maintenance	You maintain it	Tool updates break it	We maintain
Cost	$500–2,000/mo dev	$99–499/month	Starts from $20
Data Quality	Variable	Generic	QA verified
Support	None	Email tickets	WhatsApp direct
Delivery Time	Weeks	Hours	48 hours

Anti-Bot Technology

Google Reviews is One of the Most Aggressively Bot-Protected Sites on the Internet. We Handle It Automatically.

Our infrastructure is purpose-built to bypass Cloudflare, DataDome, PerimeterX, and reCAPTCHA at scale — so you always get clean data, not block pages. 99.2% success rate across all active scrapers.

Rotating residential proxies across 50+ countries

Browser fingerprint randomization (Playwright stealth)

Rate limiting that mimics human browsing behaviour

CAPTCHA bypass (2captcha / AntiCaptcha integration)

Self-healing parsing — site layout changes don't break your feed

What We Handle

Cloudflare Bot ManagementDataDomePerimeterXreCAPTCHA v3ImpervahCaptcha

Never blocked. 99.8% uptime on all production scrapers.

Delivery

Data in Your Preferred Format

📊

CSV / Excel

Ready-to-use spreadsheet

💾

JSON / XML

Structured for developers

🔌

REST API

Real-time endpoint

🗄️

SQL Database

MySQL / PostgreSQL

📋

Google Sheets

Live-updating sheet

☁️

Amazon S3

Cloud storage delivery

Sample Data

See What Your Google Reviews Data Looks Like

We send a free sample before any payment. Here's what a typical data row looks like — clean, structured, and ready to use.

google_reviews_sample.json

[
  {
    "business_name_and_google_maps_place_id": "Google Reviews — Sample Record #1",
    "overall_star_rating_and_total_review_count": "$49.99",
    "individual_review_text": 4.7,
    "source_url": "https://googlereviews.com/item/12345",
    "scraped_at": "2025-06-28T10:32:00Z"
  },
  { "...": "50–100 records in free sample" }
]

Free sample of 50–100 records provided before payment. No credit card required.

❓ FAQ

Frequently Asked Questions

Everything you need to know about our web scraping services.

Google Maps displays all reviews for a business without a hard cap. For businesses with thousands of reviews, we paginate through the full review history — extracting every review with full text, date, and rating.

Yes. For multi-location businesses or franchise networks, we process a list of addresses or Google Place IDs — extracting reviews for all locations into a single unified dataset with location identifiers.

Yes. Where a business has responded to a review, we capture the owner response text and response date alongside the original review — useful for response rate analysis and reputation management.

Yes. We support weekly or daily monitoring — delivering only new reviews since the last run (delta extraction). This is ideal for real-time reputation management and review response workflows.

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