Meesho Reviews Scraper extracts rich, structured customer review data from Meesho product pages to help teams understand buyer sentiment and product performance. It turns scattered reviews into actionable insights for analysis, research, and decision-making.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project collects detailed product review information from Meesho listings and converts it into clean, structured datasets. It solves the challenge of manually analyzing large volumes of customer feedback by automating review collection at scale. The scraper is built for analysts, marketers, product teams, and researchers who rely on real user opinions to guide strategy.
- Processes multiple product URLs in a single run
- Captures ratings, comments, reviewer details, and media
- Preserves product metadata alongside each review
- Designed for stability with controlled request handling
| Feature | Description |
|---|---|
| Multi-product support | Scrape reviews from multiple Meesho product URLs in one execution. |
| Detailed ratings data | Extract star ratings, helpful vote counts, and timestamps. |
| Review media capture | Collect review images and related media URLs when available. |
| Author profiling | Retrieve reviewer names and profile images for context. |
| Flexible limits | Control the maximum number of reviews collected per run. |
| Field Name | Field Description |
|---|---|
| productUrl | URL of the Meesho product being analyzed. |
| review.review_id | Unique identifier for the individual review. |
| review.created | Date and time when the review was posted. |
| review.rating | Star rating given by the customer. |
| review.comments | Textual feedback left by the reviewer. |
| review.helpful_count | Number of users who marked the review as helpful. |
| review.media | Image or media objects attached to the review. |
| review.author.name | Display name of the reviewer. |
| review.author.profile_image | Profile image URL of the reviewer. |
| product_name | Name of the reviewed product. |
| product_description | Full product description text. |
| product_image_thumb_url | Thumbnail image URL of the product. |
| product_image_large_url | High-resolution product image URL. |
| scrapedAt | Timestamp indicating when the data was collected. |
[
{
"productUrl": "https://www.meesho.com/m-white-mesh-runningwalkinggym-sports-shoes-for-men/p/1lri1w",
"review": {
"review_id": 952946388,
"created": "2025-01-08 10:19:49",
"rating": 5,
"helpful_count": 3,
"comments": "Nice product, good quality.",
"media": [
{
"id": 89972408,
"url": "https://images.meesho.com/images/ratings_reviews/example1.jpeg",
"type": "image"
}
],
"author": {
"name": "Meesho User",
"profile_image": "https://images.meesho.com/images/reseller/profile_image/example.jpeg"
},
"product_name": "White Mesh Sports Shoes",
"product_description": "Material: Synthetic, Sole: EVA",
"product_image_thumb_url": "https://images.meesho.com/images/products/example_128.jpg",
"product_image_large_url": "https://images.meesho.com/images/products/example_512.jpg"
},
"scrapedAt": "2025-01-20T06:52:16.030Z"
}
]
Meesho Reviews Scraper 🛍️/
├── src/
│ ├── main.js
│ ├── collectors/
│ │ ├── reviewsCollector.js
│ │ └── productCollector.js
│ ├── parsers/
│ │ ├── reviewParser.js
│ │ └── productParser.js
│ ├── utils/
│ │ ├── requestHelper.js
│ │ └── dateUtils.js
│ └── config/
│ └── settings.example.json
├── data/
│ ├── input.sample.json
│ └── output.sample.json
├── package.json
└── README.md
- Market analysts use it to study customer sentiment, so they can identify trends and satisfaction drivers.
- Product teams rely on it to uncover recurring complaints, helping them prioritize improvements.
- E-commerce sellers track review performance, enabling smarter merchandising decisions.
- Marketing teams analyze authentic feedback to refine messaging and positioning.
How many product URLs can be processed at once? You can include multiple product URLs in a single run, allowing efficient batch review collection.
Is there a limit on the number of reviews extracted? A configurable maximum item limit is supported, making it suitable for both small checks and large analyses.
Does it capture review images and media? Yes, when available, associated images and media URLs are collected alongside textual reviews.
What happens if some reviews are unavailable? The scraper gracefully skips restricted or missing reviews while continuing with accessible data.
Primary Metric: Processes several hundred reviews per product within minutes under normal conditions.
Reliability Metric: Maintains a high success rate by handling retries and transient request failures.
Efficiency Metric: Optimized request flow minimizes redundant page loads and bandwidth usage.
Quality Metric: Delivers comprehensive review records with consistent field coverage across products.
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