A high-performance Google Maps reviews scraper designed to collect structured review data, star ratings, photos, metadata, and place-level insights from public Google Maps pages. Ideal for analysts, marketers, and developers who need reliable review datasets for research, monitoring, or automation workflows.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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The Advanced Google Maps Reviews Scraper extracts complete review information from any public Google Maps place URL or Place ID. It solves the challenge of gathering large volumes of review data quickly and consistently, without manual copying or unreliable browser tools. This project is perfect for businesses, data analysts, SaaS platforms, and researchers who rely on accurate customer sentiment and location data.
- Helps businesses monitor customer sentiment and reputation trends.
- Enables researchers to analyze location-based feedback at scale.
- Supports automation workflows with structured JSON/CSV outputs.
- Provides clean, normalized review data for BI dashboards.
- Captures reviewer-level and place-level details in one process.
| Feature | Description |
|---|---|
| Multi-source targets | Scrape using Place URLs, Place IDs, or datasets. |
| Full review extraction | Collect rating, text, photos, attributes, owner responses, and timestamps. |
| Reviewer metadata | Optionally capture reviewer name, profile photo, Local Guide status, and more. |
| Place summary data | Extract average rating, total review count, and rating distribution. |
| Sorting and filtering | Filter reviews by rating, time elapsed, and sorting mode. |
| Flat output mode | Output one record per review for spreadsheet or workflow compatibility. |
| Photo URL collection | Retrieve URLs for review photos without downloading them. |
| Scalable architecture | Handles high volumes of reviews with consistent performance. |
| Field Name | Field Description |
|---|---|
| name | Name of the place being reviewed. |
| rating | Star rating given in the review. |
| text | Written review text. |
| timeElapsed | Time passed since the review was left. |
| language | Language of the review. |
| photoURLs | List of URLs for photos included in the review. |
| attributes | Additional review tags such as visit day, wait time, or reservation notes. |
| responseFromOwner | Business owner’s reply to the review (if available). |
| reviewer.id | Unique reviewer ID (optional). |
| reviewer.name | Name of the reviewer (optional). |
| reviewer.profileLink | URL to the reviewer’s profile (optional). |
| reviewer.isLocalGuide | Indicates whether the reviewer is a Local Guide. |
| summary.rating | Average rating for the place. |
| summary.count | Total number of reviews. |
| summary.ratingDistribution | Count of ratings across star levels. |
| summary.tags | Tags describing the place. |
{
"name": "Sydney Opera House",
"summary": {
"rating": 4.7,
"count": 75391,
"ratingsDistribution": {
"1": 671,
"2": 360,
"3": 2123,
"4": 11391,
"5": 60820
},
"tags": []
},
"reviews": [
{
"id": "DfjHUYtJTR5nUYGKJSAbSDKJHkBH7GkGHRSH",
"rating": 5,
"timeElapsed": { "value": 1, "unit": "day" },
"language": "en",
"text": "Great tour of the Opera House! Would visit again",
"attributes": {
"Visited on": "Weekday",
"Wait time": "No wait",
"Reservation recommended": "Yes"
},
"photoURLs": [
"https://lh5.googleusercontent.com/p/AF1QipM_aIW0SVw3zAJuAr_f6lheFe2doNFwsuczGPab",
"https://lh5.googleusercontent.com/p/AF1QipM8XJ5hOcmAxJhGlwEUkfHcLlUfWCFBefqIdcDp",
"https://lh5.googleusercontent.com/p/AF1QipN9oKOGcCB9jL9fuqqtoO_pWzz5IaoMZJ-eKLtM"
]
}
]
}
Advanced Google Maps Reviews Scraper/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── reviews_parser.py
│ │ └── utils_time.py
│ ├── outputs/
│ │ └── exporters.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.txt
│ └── sample.json
├── requirements.txt
└── README.md
- Market analysts gather large-scale review datasets to measure customer satisfaction trends across regions.
- Business owners monitor fresh reviews to identify service issues and evaluate performance over time.
- Researchers study language patterns, sentiment, and behavior based on geolocated review content.
- SaaS platforms enrich their applications with structured Google Maps review data for automation workflows.
- Agencies track competitor performance and location quality across multiple businesses.
Q: Can I export the scraped data to spreadsheets? Yes. The output can be converted to CSV, Excel, JSON, or integrated into workflow tools. Flat output mode is available for one-row-per-review exports.
Q: Is personal reviewer data included by default? No. Reviewer names, profile links, and photos are only collected when explicitly enabled to respect privacy.
Q: Can I limit the number of reviews scraped? Yes. You can set a maximum review count per place or filter by minimum rating or time elapsed.
Q: Can I sort reviews by newest first? Yes. Sorting options include Most Relevant, Most Recent, Highest Rated, and Lowest Rated.
Primary Metric: Processes ~0.8–1.2 seconds per review on average, depending on memory and photo volume. Reliability Metric: Maintains a high success rate across thousands of place targets with consistent extraction stability. Efficiency Metric: Optimized to avoid downloading media files, reducing bandwidth and speeding up overall scraping time. Quality Metric: Captures a broad set of review attributes, including timestamps, attributes, photos, and owner responses, ensuring highly complete datasets.
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