Google Maps Reviews Scraper (by Reviewer)

MapsMCP

Scrape Google Maps reviews by reviewer profile URL. Extract review text, ratings, dates, and place details to analyze user behavior and review history — no coding required.

Templates are view-only on mobile. Please switch to a desktop to run this template.

🚀 Why Use This Google Maps Reviews Scraper (by User Page)?

🧠 Analyze reviewer behavior and preferences
💬 Study review patterns across different places
📊 Identify frequent reviewers or influencers
🔎 Research customer sentiment from a single reviewer’s perspective
📁 Export clean datasets for analysis or reporting

Ideal for research scenarios focused on reviewers, not businesses.

📊 Data You Can Extract

Depending on what Google Maps publicly displays on the user page, this template can extract:

👤 Reviewer name
⭐ Rating
💬 Review text
🗓 Review date
🏢 Business / place name
📍 Business address (if available)
🔗 Place details page URL
🔗 Reviewer profile URL

All fields are exported in a structured, analysis-ready format.

Ready to Start Scraping?

No coding. No setup. Works immediately.

👥 Who Should Use This Template?

📊 Market & UX Researchers — Analyze reviewer behavior and sentiment
🧠 Brand & Reputation Teams — Study how specific users review brands
🧩 Agencies & Consultants — Build reviewer-based insight reports
📚 Academic & Social Researchers — Research review credibility and trends

Best For	Template
Scraping reviews for a specific business	Google Maps Review Scraper
Cloud-based review extraction	Google Maps Review Scraper (Cloud)
Extracting business info by URL	Google Maps Store Details Scraper

Input and Output

Input

{
  "uRL": [
    "https://www.google.com/maps/contrib/112277453687791435729/reviews",
    "https://www.google.com/maps/contrib/102621106565974123765/reviews",
    "https://www.google.com/maps/contrib/111110509328741153374/reviews"
  ]
}

Output

[]

🐙 Why Octoparse?

🧩 No-Code Required — You don't need programming knowledge; just input keywords and locations, and run the scraper.

🔄 Automatic Workflow & Pagination Handling — Octoparse handles navigation through search results, page loading, and data extraction for you.

📁 Easy Export Formats — Export scraped results directly to Excel, CSV or JSON for easy analysis or integration into CRMs and databases.

💻 Beginner-Friendly UI — Ready to use out of the box. Just enter your keywords and run.

Start collecting data now — no setup, no hassle, just raw data in minutes.

❓ FAQs

Q: What's the difference between this and the business-focused review scraper?

This template scrapes all reviews from a specific reviewer's profile. The Google Maps Review Scraper extracts reviews for a specific business location. For a full comparison of available options, see our guide on best Google Maps scrapers.

Q: How do I find reviewer profile URLs?

Click on a reviewer's name in any Google Maps review to access their profile page. The URL should look like https://www.google.com/maps/contrib/[ID]/reviews. Copy this full URL.

Q: How many reviewer profiles can I scrape in one run?

This template supports up to 1,000 reviewer profile URLs per run. Enter one URL per line in the input field. For larger projects, run multiple batches.

Q: Why are some reviews missing from my results?

Google Maps may not display all reviews publicly. Some reviews may be hidden due to Google's spam filters, the reviewer's privacy settings, or content policy violations. The scraper can only extract publicly visible reviews.

Q: Can I use this data for sentiment analysis?

Yes. The exported data includes review text and ratings, which are ideal for sentiment analysis. You can analyze patterns in how specific reviewers rate different types of businesses. Learn more about extracting company reviews with web scraping.

Q: How do I export the scraped data to Excel?

Once scraping completes, go to Output and click Export. Select Excel or CSV format. For detailed steps, check out how to scrape Google Maps data into Excel.

🛠 How to Use: Step-by-Step Guide

1. Start the template

Click "Try it!" or "Start" to load the Superpages Scraper.

2. Enter your scraping parameters

On the input screen, fill in your keyword and filter options.

✍🏻 Input Fields Explained

Parameter	Required?	Description	Example
Google Maps Contributor Review URLs (up to 1,000)	Yes	Enter one or multiple Google Maps contributor review page URLs to scrape reviews from. Supports up to 1,000 URLs per run (one per line).	https://www.google.com/maps/contrib/112277453687791435729/reviewshttps://www.google.com/maps/contrib/102621106565974123765/reviewshttps://www.google.com/maps/contrib/11110509328741153374/reviews

3. Run the scraper

Click "Start" and select a run mode. (Greyed-out modes are not supported for this template.)
Octoparse will automatically browse the target website, load search results, scroll pages, and extract all matching products.

4. Monitor & Handle Interruptions

Scraping duration may vary based on the number of products returned for your search.
If a CAPTCHA appears, pause the task, solve it manually, then resume the run.

5. Export your data

Once scraping completes, go to the Output section to review.
Export the results - e.g. as CSV or Excel - for further analysis, filtering, or storage.

Input

Use these field names and accepted formats when configuring the template in Console or through the API.

Field	Type	Required	API
URL (up to 1,000 per run)Field key: `uRL`	string (multiple values)	Yes	Yes

Input

{
  "uRL": [
    "https://www.google.com/maps/contrib/112277453687791435729/reviews",
    "https://www.google.com/maps/contrib/102621106565974123765/reviews",
    "https://www.google.com/maps/contrib/111110509328741153374/reviews"
  ]
}

Output

Review the 15 fields returned by this template before connecting the data to your workflow.

Field	Type	Example
`Level`	string	`-`
`Likes`	string	`-`
`Name`	string	`-`
`Original_URL`	string	`-`
`Owner_response`	string	`-`
`Points`	string	`-`
`Rating_count`	string	`-`
`Response_time`	string	`-`
`Review_content`	string	`-`
`Review_count`	string	`-`
`Review_rating`	string	`-`
`Review_shop`	string	`-`
`Review_time`	string	`-`
`Shop_address`	string	`-`
`User_type`	string	`-`

Output

[]

Run Google Maps Reviews Scraper (by Reviewer) with the API

Prepare the supported input, start one cloud task, then poll and export the result with the returned identifiers.

Prepare parameters

Use the API-enabled field names from the Input tab to build the parameters object.

Start the task

Call executeTask once, then save taskId and lotNo from the accepted response.

Poll and export the result

Call exportData with the same taskId and lotNo until the completed rows are returned.

POST/api/agentTools/executeTask

GET/api/agentTools/exportData

curl -X POST 'https://openapi.octoparse.com/api/agentTools/executeTask' \
  -H 'x-api-key: op_sk_xxxxx' \
  -H "Content-Type: application/json" \
  -d '{"templateName":"google-maps-reviews-scraper-by-user-page","taskName":"Google Maps Reviews Scraper (by Reviewer) API run","parameters":"{\"uRL\":[\"https://www.google.com/maps/contrib/112277453687791435729/reviews\",\"https://www.google.com/maps/contrib/102621106565974123765/reviews\",\"https://www.google.com/maps/contrib/111110509328741153374/reviews\"]}"}'

# Reuse taskId and lotNo from the accepted response.
curl -G 'https://openapi.octoparse.com/api/agentTools/exportData' \
  -H 'x-api-key: op_sk_xxxxx' \
  --data-urlencode "taskId=<taskId>" \
  --data-urlencode "lotNo=<lotNo>" \
  --data-urlencode "exportFileType=JSON"