Meesho Reviews Scraper — Ratings, Comments, Photos & Authors

Collect Meesho product reviews and ratings as clean, structured data. Search by keyword or paste product URLs — every matching product comes back with its full review list and rating summary: star rating, review text, reviewer name, review photos, helpful votes, date, plus the product's average rating, total ratings and full star distribution.

Built for Meesho sellers, brands, agencies, product researchers and market analysts who need review and rating data in JSON, CSV or Excel instead of scrolling through product pages by hand.

---

✨ Why use this scraper

• Every review, not just the first page — paginates through a product's reviews so you get the full picture, not a sample.
• Rating summary included — average rating, total number of ratings, number of text reviews, and the complete 1–5 star distribution for each product.
• Review photos — the image URLs buyers attach to their reviews, so you can see the product as customers received it.
• Rich review detail — star rating, full comment text (emojis and all), reviewer name, reviewer level, helpful‑vote count and the review date.
• Two ways to target products — free‑text keyword search, or a direct list of product URLs.
• Clean, typed output — ratings as numbers, dates as text, images as arrays — ready for spreadsheets, dashboards and sentiment analysis.
• Export anywhere — JSON, CSV, Excel, HTML or via the Apify API and integrations.

---

🚀 Quick start

1. Enter one or more search keywords (for example kurti, bluetooth earbuds, kids shoes).
2. (Optional) Or paste specific product URLs.
3. Set Products per keyword, Max reviews per product and the overall Maximum reviews.
4. Click Start.

The scraper finds the matching products and returns one row per review, each carrying the product's rating summary alongside the individual review.

---

📥 Input

Field	Type	Description
Search keywords (searchQueries)	array	Product keywords to search. The top products for each keyword are scraped for reviews.
Product URLs (productUrls)	array	Meesho product URLs (or product IDs) to scrape reviews from directly.
Products per keyword (maxProductsPerQuery)	integer	How many of the top products from each keyword to collect reviews for.
Max reviews per product (maxReviewsPerProduct)	integer	Maximum reviews collected per product.
Maximum reviews (total) (maxItems)	integer	Overall cap on review records saved.
Concurrent products (maxConcurrency)	integer	How many products to process in parallel. Recommended 2–5.
Proxy configuration (proxyConfiguration)	object	Indian residential proxies are recommended for reliable access.

Example 1 — reviews for a keyword

{
  "searchQueries": ["kurti"],
  "maxProductsPerQuery": 10,
  "maxReviewsPerProduct": 200
}

Example 2 — several categories

{
  "searchQueries": ["bluetooth earbuds", "smart watch", "phone case"],
  "maxProductsPerQuery": 20,
  "maxReviewsPerProduct": 100,
  "maxItems": 5000
}

Example 3 — specific products

{
  "productUrls": [
    "https://www.meesho.com/gown-party-wear-long-kurti/p/8bhiji",
    "https://www.meesho.com/mens-running-shoes/p/1a2b3c"
  ],
  "maxReviewsPerProduct": 500
}

---

📤 Output

Each review is one dataset item, carrying the product's rating summary alongside it. Example:

{
  "productId": "8bhiji",
  "productName": "Adrika Graceful Kurtis",
  "productUrl": "https://www.meesho.com/gown-party-wear-long-kurti/p/8bhiji",
  "productPrice": 291,
  "productImage": "https://images.meesho.com/images/catalogs/165189236/cover/1/2/....jpg",
  "averageRating": 3.9,
  "ratingCount": 177,
  "reviewCount": 34,
  "ratingScale": 5,
  "ratingDistribution": { "1": 29, "2": 9, "3": 17, "4": 23, "5": 99 },
  "totalMediaCount": 12,
  "reviewId": 1636120246,
  "rating": 5,
  "comment": "Good product very light weight and comfortable 🥰",
  "reviewDate": "2026-04-26 11:44:45",
  "helpfulCount": 6,
  "authorName": "Meesho User",
  "authorLevel": "Beginner",
  "authorFollowers": 0,
  "images": [
    "https://images.meesho.com/images/ratings_reviews/7955961468/7995538579/..._0b4dbe50efec7.jpeg",
    "https://images.meesho.com/images/ratings_reviews/7955961468/7995538579/..._8e0e91f270c70.jpeg"
  ],
  "imageCount": 2,
  "videoCount": 0,
  "hasMedia": true,
  "scrapedAt": "2026-08-24T11:03:01.000Z"
}

Field reference

Product context

Field	Description
productId	Meesho product identifier.
productName	Product name.
productUrl	Product page URL.
productPrice	Product price (INR).
productImage	Product cover image.

Rating summary (per product)

Field	Description
averageRating	Average star rating.
ratingCount	Total number of ratings.
reviewCount	Number of written reviews.
ratingScale	Rating scale (usually 5).
ratingDistribution	Count of ratings per star, 1–5.
totalMediaCount	Number of review photos/videos on the product.

Review

Field	Description
reviewId	Unique review identifier.
rating	Star rating of this review (1–5).
comment	Review text.
reviewDate	When the review was posted.
helpfulCount	Number of helpful votes.
authorName	Reviewer display name.
authorLevel	Reviewer gamification level, when available.
authorFollowers	Reviewer follower count, when available.
images	Array of review photo URLs.
imageCount	Number of photos on the review.
videoCount	Number of videos on the review.
hasMedia	Whether the review has any photo or video.
scrapedAt	ISO timestamp of the scrape.

---

💡 Use cases

• Meesho sellers — monitor reviews on your own catalog and your competitors', spot recurring complaints, and act on quality issues fast.
• Brands & manufacturers — measure how your products are received on Meesho, track average rating over time, and gather voice‑of‑customer feedback.
• Product research — before sourcing or launching a product, read what buyers say about similar items and where they fall short.
• Sentiment analysis — feed review text into NLP models to quantify sentiment, extract themes, and surface feature requests.
• Quality & returns analysis — correlate low ratings and review photos with sizing, material or delivery problems.
• Market & category research — compare rating distributions across products and categories to find gaps and opportunities.
• Competitor monitoring — watch competitor listings' ratings and complaints and benchmark against your own.

---

🎯 Tips for best results

• Search vs. URLs. Use keywords to discover the top products in a category, or paste product URLs when you already know exactly which items you want.
• Tune the caps. maxProductsPerQuery controls breadth (how many products per keyword) and maxReviewsPerProduct controls depth (how many reviews each). maxItems is the overall stop.
• Go deep on a few, or wide on many. For a detailed study of one product, set a high maxReviewsPerProduct. For a category overview, set more products and fewer reviews each.
• Analyse the distribution. ratingDistribution tells you the shape of a product's ratings at a glance — a high average can still hide a cluster of angry 1‑star reviews.
• Use the photos. images links show the product as customers actually received it — invaluable for spotting quality and expectation gaps.
• Filter after export. Pull the reviews, then filter on rating, helpfulCount, hasMedia or reviewDate in your spreadsheet or database.

---

📈 Getting more results

• Increase Max reviews per product to go deeper on each product (the scraper paginates through all available reviews up to your cap).
• Increase Products per keyword to cover more of a category.
• Add more keywords to widen coverage across categories.
• Combine search keywords and product URLs in one run.

---

🛍️ Popular categories to scrape

Meesho spans a huge range of budget categories. Use any of these as search keywords — or combine them with a specific term (cotton kurti, wireless earbuds) to narrow the results.

Women's fashion

• kurti, saree, kurta set, dress, top, leggings, nighty, dupatta
• ethnic wear, western wear, gown, palazzo, jeans

Men's fashion

• men t shirt, men shirt, men jeans, track pants, kurta, innerwear

Footwear & accessories

• sandals, sports shoes, heels, slippers, handbag, wallet, watch, sunglasses

Electronics & gadgets

• bluetooth earbuds, neckband, smart watch, phone case, charger, power bank, data cable

Home & kitchen

• bedsheet, curtains, door mat, kitchen organizer, containers, water bottle, wall clock

Beauty & personal care

• lipstick, kajal, face wash, hair oil, perfume, makeup kit

Kids & toys

• kids wear, baby dress, toys, kids shoes, school bag

Tip: pair a category with a quality or material term (kurti cotton, earbuds gaming) to focus the reviews on the exact kind of product you care about.

---

🧩 What you can build with the data

• A rating tracker — schedule the run and watch averageRating and ratingDistribution move over days and weeks for your products or your competitors'.
• A complaint miner — filter reviews to 1‑ and 2‑star, run the text through keyword extraction, and rank the top recurring issues.
• A photo wall — collect review images to see how a product actually arrives to customers, and catch mismatches with the listing photos.
• A category benchmark — compare average ratings and review volumes across dozens of products to find under‑served, high‑demand niches.
• A voice‑of‑customer dashboard — aggregate review text and sentiment by product and category for your team.
• A pre‑sourcing check — before buying stock, read the real reviews on comparable products and quantify the return‑risk signals.

---

🔌 Run it your way

• Apify Console — fill in the form and click Start.
• API — start runs and pull the dataset programmatically.
• Scheduler — run daily or weekly to track how ratings and reviews change over time.
• Integrations — push results to Google Sheets, Zapier, Make, webhooks, Slack, S3 and more.

---

📊 Reading the review data

A few quick ways to turn the raw output into insight:

• True average vs. headline average. averageRating is Meesho's figure. You can recompute a weighted average yourself from ratingDistribution to double‑check it and to weight recent reviews differently: (1×n1 + 2×n2 + 3×n3 + 4×n4 + 5×n5) / (n1+n2+n3+n4+n5).
• Polarisation. A product with lots of 5‑star and lots of 1‑star ratings is polarising — average alone hides that. Look at ratingDistribution for a U‑shape.
• Negative share. (n1 + n2) / ratingCount is the share of unhappy buyers — a cleaner quality signal than the average for return‑risk analysis.
• Engagement. helpfulCount shows which reviews other shoppers found useful; sort by it to surface the most influential feedback.
• Photo proof. Filter hasMedia = true to read only reviews with photos — the most trustworthy signal of what actually ships.
• Text mining. Concatenate comment across a product or category and run keyword/topic extraction to rank recurring themes (sizing, fabric, delivery, packaging …).

Field types at a glance

Field	Type	Notes
rating, helpfulCount, imageCount, videoCount	number	Integers.
averageRating	number	Decimal, e.g. 3.9.
ratingCount, reviewCount	number	Totals for the product.
ratingDistribution	object	Keys 1–5, values are counts.
comment, authorName, reviewDate, productName	string	Text; comment may be empty for rating‑only reviews.
images	array	List of photo URLs.
hasMedia	boolean	True when the review has a photo or video.
scrapedAt	string	ISO 8601 timestamp.

---

❓ FAQ

How many reviews can I collect? As many as the products have, up to your maxReviewsPerProduct and maxItems caps. The scraper paginates through a product's full review list.

Do I get the rating breakdown? Yes. Every row includes the product's averageRating, ratingCount, reviewCount and the full ratingDistribution (how many 1‑, 2‑, 3‑, 4‑ and 5‑star ratings).

Do reviews include photos? Yes. When a reviewer attaches photos, their URLs are returned in images, with imageCount and hasMedia flags.

Can I scrape reviews for a specific product only? Yes. Paste its product URL (or ID) into Product URLs.

Which market does this cover? Meesho is an Indian marketplace. Indian residential proxies (the default) give the most reliable results.

Are reviewer names real? Meesho shows the display name the reviewer chose; many appear as a generic "Meesho User". The scraper returns exactly what is publicly shown.

In what format is the data? Structured JSON by default, exportable to CSV, Excel, HTML and more.

Can I get only reviews with photos, or only low ratings? The scraper returns all reviews with rating, hasMedia and imageCount fields — filter the exported dataset on those to keep only what you need (for example rating <= 2 or hasMedia = true).

How is a product's review list ordered? Reviews are returned in the order Meesho serves them (most relevant/recent first), and the scraper pages through them until it reaches your cap or the end of the list.

Can I track the same products over time? Yes. Keep the productUrl or productId of the products you follow and re‑run on a schedule — each run stamps scrapedAt, so you can build a time series of rating and review changes.

Will it duplicate reviews across pages? No. Reviews are de‑duplicated by reviewId within each product, so paging never repeats a review.

Can I run this on a schedule? Yes — use the Apify Scheduler for recurring runs, or start runs through the Apify API and its integrations to track ratings over time.

---

⚖️ Legal & responsible use

This tool collects publicly available review and rating information for legitimate business use such as market research, product quality analysis and competitor benchmarking. You are responsible for how you use the data and for complying with all applicable laws and regulations, the website's terms, and data‑protection rules (including GDPR and India's DPDP Act where relevant). Do not use the output to infringe intellectual‑property rights, to identify individuals, or for any unlawful purpose. This scraper is not affiliated with, endorsed by, or connected to Meesho; all trademarks belong to their respective owners.

---

Tags

meesho · meesho scraper · meesho reviews · product reviews · review scraper · ratings scraper · ecommerce reviews · india ecommerce · sentiment analysis · customer reviews · star ratings · review photos · voice of customer · product research · competitor analysis