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The Lazada - Reviews dataset is a clean, structured, analysis-ready database of 264.79K records across 28 data fields, sourced from lazada.com.my and refreshed monthly. Every record is standardised for enrichment, lead generation, market research and competitor analysis — ready to import into your CRM or data pipeline.
Key fields: url, title, rating, reviews, seller name, sku, mpn, is super seller, brand, breadcrumb, and 18 more. See the full data dictionary below.
This is a pay-per-record dataset with a minimum order of 70,000 records. See the order panel for live pricing in your currency (₹ for India, $ elsewhere) — the total scales with the number of records you choose, so the more you buy, the larger the order.
| sku | url | title | rating | reviews | db source |
|---|---|---|---|---|---|
| 3334915384_SGAMZ-22329395282 | https://www.lazada.sg/products/pop-mart-... | POP MART THE MONSTERS - Exciting Macaron... | 4.9 | 459 | j_m9uqplh91mnjy0sxdr |
| 3334915384_SGAMZ-22329395282 | https://www.lazada.sg/products/pop-mart-... | POP MART THE MONSTERS - Exciting Macaron... | 4.9 | 459 | j_m9uqplh91mnjy0sxdr |
| 3334915384_SGAMZ-22329395282 | https://www.lazada.sg/products/pop-mart-... | POP MART THE MONSTERS - Exciting Macaron... | 4.9 | 459 | j_m9uqplh91mnjy0sxdr |
| 3334915384_SGAMZ-22329395282 | https://www.lazada.sg/products/pop-mart-... | POP MART THE MONSTERS - Exciting Macaron... | 4.9 | 459 | j_m9uqplh91mnjy0sxdr |
| 3143299189_SGAMZ-21422552211 | https://www.lazada.sg/products/loreal-pa... | L’Oréal Paris Infaillible 32H Fresh Wear... | 4.7 | 38 | j_mbysexq3264ud7u120 |
| 3143299189_SGAMZ-21422552212 | https://www.lazada.sg/products/loreal-pa... | L’Oréal Paris Infaillible 32H Fresh Wear... | 4.7 | 38 | j_mbysexq3264ud7u120 |
| 3143299189_SGAMZ-21422552211 | https://www.lazada.sg/products/loreal-pa... | L’Oréal Paris Infaillible 32H Fresh Wear... | 4.7 | 38 | j_mbysexq3264ud7u120 |
| 3143299189_SGAMZ-21422552215 | https://www.lazada.sg/products/loreal-pa... | L’Oréal Paris Infaillible 32H Fresh Wear... | 4.7 | 38 | j_mbysexq3264ud7u120 |
| 3143299189_SGAMZ-21422552210 | https://www.lazada.sg/products/loreal-pa... | L’Oréal Paris Infaillible 32H Fresh Wear... | 4.7 | 38 | j_mbysexq3264ud7u120 |
| 3143299189_SGAMZ-21422552214 | https://www.lazada.sg/products/loreal-pa... | L’Oréal Paris Infaillible 32H Fresh Wear... | 4.7 | 38 | j_mbysexq3264ud7u120 |
Sample@if($records) of 264.79K records@endif — 28 fields total. Purchase to unlock the full dataset.
| Column | Description | Type | Fill rate |
|---|---|---|---|
| url | URL pointing to the product on the Lazada platform. | Url | 100% |
| title | The title or name of the product. | Text | 100% |
| rating | The average rating given by customers for the product | Number | 100% |
| reviews | The total number of reviews for the product | Number | 100% |
| seller_name | The name of the seller offering the product | Text | 100% |
| sku | Stock Keeping Unit or identifier for the product | Text | 100% |
| mpn | Manufacturer Part Number associated with the product | Text | 100% |
| is_super_seller | Indicates whether the seller is a Lazada Super Seller (verified high-performance seller) | Boolean | 100% |
| brand | The brand of the product | Text | 99.98% |
| breadcrumb | Breadcrumb trail indicating the product's category path (from main category to subcategory) | Array | 98.62% |
| review_username | Name/username of the reviewer who wrote the review | Text | 100% |
| review | Textual content of the review provided by the user | Text | 95.46% |
| verified_purchase | Indicates whether the purchase associated with the review is verified | Boolean | 100% |
| review_star_rating | Star rating assigned by the reviewer (1-5 scale) | Number | 100% |
| review_date | Date when the review was submitted | Date | 90.64% |
| review_image_urls | URLs linking to images uploaded by the reviewer with their review | Array | 41.79% |
| review_video_urls | URLs linking to videos uploaded by the reviewer with their review | Array | 2.96% |
| count_images | Number of images attached to the review | Number | 100% |
| count_videos | Number of videos attached to the review | Number | 100% |
| review_likes | Number of likes or upvotes received for the review | Number | 100% |
| review_id | Unique identification number for each review | Text | 100% |
| exclude_variations | Input parameter: collect reviews only for the given link and exclude variations (if specified by user) | Boolean | 0% |
| days_back | Input parameter: number of days back from today for which reviews should be collected (if specified by user) | Number | 0% |
| replies | Seller replies/responses to the customer review | Array | 14.63% |
| lazmall | Indicates whether the product is sold via LazMall (Lazada's premium marketplace) | Boolean | 97.2% |
| start_date | Input parameter: start date for filtering reviews by date range (used to limit review collection) | Text | 0% |
| end_date | Input parameter: end date for filtering reviews by date range (used to limit review collection) | Text | 0% |
| timestamp | Date | — |
The Lazada - Reviews dataset contains approximately 264.79K records across 28 fields, refreshed monthly.
It is priced per record with a minimum order of 70,000 records. See the order panel on this page for live pricing in your currency (₹ for India, $ elsewhere) — the total scales with the number of records you select.
Fields include url, title, rating, reviews, seller name, sku, mpn, is super seller and more — the complete list is in the data dictionary on this page.
It is aggregated from lazada.com.my and other public, compliant sources, then cleaned, standardised and de-duplicated before delivery.
As a structured CSV/Excel export ready for CRM import or BI analysis, delivered after purchase. A free sample is available on this page.
The dataset is refreshed monthly so records stay accurate for outreach and analysis.
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264,790 records available · built from the live database at purchase, delivered as CSV.
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Last Update:
Aug 19, 2026 17:39 PM
Published:
Jul 21, 2026 11:25 AM
Country:
United States
Total records:
264,790
Category:
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