Google Reviews influence buying decisions, local search rankings, and brand reputation. For businesses that need this data in large amounts, whether for tracking reputation, comparing competitors, or analyzing sentiment, doing it manually is not possible. That’s where ScrapeHero’s Google Reviews scraper comes in.
Not all scrapers work the same way.
Some get blocked after a few attempts. Others give incomplete data or stop working when Google changes its website layout.
This guide explains what makes a reliable Google Reviews scraper different from the rest, and why ScrapeHero’s Google Reviews Scraper is designed to handle large amounts of data efficiently.
Why Businesses Need a Google Reviews Scraper
Businesses need a Google reviews scraper because manual review tracking doesn’t work for large-scale use
Checking reviews one by one works for a single local business with a few reviews. But it fails when a company has multiple locations, tracks competitors, or needs regular updates. A popular listing can have thousands of reviews, and copying that information by hand is neither practical nor easy to repeat.
Common Use Cases
Teams gather Google Reviews data for various reasons:
- Tracking reputation: Keep an eye on new reviews and ratings for every business location almost in real time.
- Comparing competitors: Look at overall ratings, review counts, and common complaints from other businesses.
- Analyzing sentiment: Use review text in tools or machine-learning models to identify recurring issues or service gaps.
- Tracking customer service: See how businesses respond to negative reviews and how quickly they respond.
Each of these relies on consistent, clear, and complete reviews, which is hard to achieve with manual work or simple scripts.
What to Look for in the Best Google Reviews Scraper
No Rate Limits or Blocking
Google limits how much automated activity it allows. A scraper that gets blocked, slows down, or gives only partial results after a few hundred requests isn’t good for ongoing use. The best Google Reviews scraper should handle this without the user having to manage proxies, CAPTCHAs, or rotating IPs.
Depth and Freshness of Review Data
A good scraper doesn’t just get star ratings. It should include the reviewer’s name, review text, date, any images, whether the reviewer is a Local Guide, and any response from the business. It should also include the overall rating and total number of reviews for context.
Delivery Flexibility
Data is only useful if it gets to the right place in the right format. Look for support for common formats like Excel, CSV, and JSON, as well as the ability to schedule regular downloads to cloud storage or get data through an API.
Ease of Use
Some scraping tools need coding, while others let you use them without any code.
Just give a link or ID and get the data back. The right choice depends on your team’s technical skills, but a no-code tool makes it easier for marketing, research, and operations teams.
ScrapeHero’s Google Reviews Scraper: Full Feature Breakdown
ScrapeHero’s Google Reviews Scraper is made to meet all the above requirements as a fully managed service, with no need for coding, proxies, or technical setup.
Input Methods: Review Links or Place IDs
Users provide a list of Google Reviews links or Place IDs for the businesses or locations they want data from.
Filters can be used to control which reviews are pulled.
Data Fields Extracted
The scraper gives detailed information for each review, including:
- Business name, address, and Place ID
- Reviewer name and profile status (Local Guide or not)
- Review rating, review text, and review date
- Images attached to the review
- Business owner response text and response date, if available
- Overall rating and total number of reviews for the business
This level of detail helps with both overall reputation tracking and in-depth sentiment analysis.
Sorting and Filtering Options
The scraper allows users to sort reviews by Newest, Most Relevant, Highest Rating, or Lowest Rating.
This lets them focus on specific parts of the data rather than pulling everything every time.
Output Formats
You can download data directly in Excel, CSV, or JSON formats. You can also link it to a cloud storage platform like Dropbox, so the data gets sent automatically.
Automated Scheduling
Crawls can be set to run hourly, daily, or weekly. Data can be sent to Dropbox, AWS S3, Google Drive, or directly to an app through an API. This changes a single data pull into a continuous system for monitoring reputation.
How to Scrape Google Reviews with ScrapeHero (Step-by-Step)
Step 1: Get Place IDs
If you don’t already have Place IDs, ScrapeHero’s Google Maps Search API can help you collect them for any business or location. It also gives you details like the name, address, phone number, and website.
Step 2: Input Links or IDs and Set Filters
Give the review links or Place IDs to the Google Reviews Scraper. Use any sorting filters you need, and start the process.
Step 3: Download or Schedule Delivery
You can download the complete dataset right away, or set up a regular schedule so new review data comes in automatically, without having to repeat the process.
ScrapeHero vs. Alternatives
Managed Service vs. Self-Hosted Scripts
Using self-hosted scraping scripts needs constant attention. Every time Google changes how its pages look or adds new ways to block scrapers, the script stops working and needs fixing.ScrapeHero is a fully managed service, meaning the scraping logic, proxy management, and updates are handled automatically, with no engineering work required from you.
Google Reviews API Limitations vs. Unlimited Scraping
Google’s own APIs for retrieving review data have limits on the number of reviews you can get per business. This makes them less useful for businesses that need full historical data.ScrapeHero’s scraper is built to get an unlimited number of reviews per business or location without hitting the same rate limits as Google’s native tools.
Pricing and Plans for the Google Reviews Scraper
Free Plan for Testing
A free plan comes with 400 data credits, one running job at a time, and seven days of data storage.
You don’t need a credit card to get started.
Paid Tiers and How Data Credits Work
Paid plans start at the Intro tier for $5 per month and go up to the Ultra tier for $750 per month. Each tier includes more data credits, concurrent jobs, API call limits, and data retention. Since the Google Reviews Scraper pulls data from listing pages that show 10 reviews each, credit use goes up with the number of reviews you want.
For instance, getting 100 reviews from one listing uses 11 page credits: one for the listing page and ten for the review pages.
Custom and Enterprise Plans
For businesses with high-volume or ongoing data needs, ScrapeHero offers custom plans.
These include credits based on your needs, unlimited concurrent jobs, custom data retention, and dedicated support.
Start Scraping Google Reviews Free
Businesses that need Google Reviews data without having to build or maintain scraping systems can start with ScrapeHero’s free plan. Then they can grow as their data needs increase. Get started with the Google Reviews Scraper.
