Bright Data | Lazada - Products Dataset
| # | timestamp |
url |
id |
title |
rating |
reviews |
sold |
initial_price |
final_price |
currency |
protection |
delivery |
stock |
favorite |
image |
video |
seller_name |
shop_url |
breadcrumb |
product_specifications |
product_description |
seller_ratings |
seller_ship_on_time |
seller_chat_response |
mpn |
colors |
variations |
color |
returns_and_warranty |
is_super_seller |
sizes |
promotions |
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx |
| 2 | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx |
| 3 | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx |
| 4 | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx |
| 5 | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx |
| 6 | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx |
| 7 | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx |
| 8 | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx |
| 9 | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx |
| 10 | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx |
| ... | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
timestamp
|
DateTime | 2023-08-24T00:00:00+00:00 | |
|
url
|
String | https://www.lazada.sg/products/17-55mm-heavy-sleeve-pneum... | |
|
id
|
String | null | |
|
title
|
String | 17-55mm Heavy Sleeve Pneumatic Pullover Pneumatic Sleeve ... | |
|
rating
|
Integer | 0 | |
|
reviews
|
Integer | 0 | |
|
sold
|
String | null | |
|
initial_price
|
String | SGD 0.00 | |
|
final_price
|
String | SGD 1,390.00 | |
|
currency
|
String | SGD 0.00 | |
|
protection
|
String | null | |
|
delivery
|
String | null | |
|
stock
|
String | null | |
|
favorite
|
String | null | |
|
image
|
String | https://lzd-img-global.slatic.net/g/ff/kf/Sbe25016c397342... | |
|
video
|
String | null | |
|
seller_name
|
String | 拓驰工具企业店 | |
|
shop_url
|
String | null | |
|
breadcrumb
|
String | Tools & Home Improvement,Hand Tools,Wrenches | |
|
product_specifications
|
String | [{"name":"Brand","value":"No Brand"},{"name":"SKU","value... | |
|
product_description
|
String | 3 8 drive socket wrench set. rachet combination wrench. t... | |
|
seller_ratings
|
Integer | 88 | |
|
seller_ship_on_time
|
String | 94% | |
|
seller_chat_response
|
String | 98% | |
| String | 2447428337_SGAMZ-14510960168 | Product SKU | |
|
mpn
|
Integer | 14510960159 | |
|
colors
|
String | 3/4 air gun 30mm,3/4 air gun 27mm,3/4 air cannon 33mm,3/4... | |
|
variations
|
String | [{"name":"Color_classification","variations":["3/4 air gu... | |
|
color
|
String | 3/4 air gun 55mm | |
|
returns_and_warranty
|
String | 7 Days Return,Warranty not available | |
|
is_super_seller
|
Boolean | t | |
|
sizes
|
String | null | |
|
promotions
|
String | Min.Spend $5.00 |
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
Timestamp
|
2021-05-02T17:28:25.449Z | ||
|
URL
|
https://www.linkedin.com/organization-guest/company/amazon | ||
| String | Amazon | Company Name | |
|
Slogan
|
When available | ||
|
Industries
|
Internet | ||
|
Followers
|
19156025 | ||
|
Stock Symbol
|
AMZN | ||
|
Funding rounds
|
2 total rounds | ||
|
Last funding round
|
Post IPO equity | ||
|
Money raised
|
US$ 100.0M | ||
|
Logo
|
logo_url | ||
|
Background Image
|
background_url | ||
| String | 610444 | Company Employee Count | |
|
About
|
"Amazon is guided by four principles..." | ||
|
Locations
|
2127 7th Ave., Seattle, WA 98109, US | ||
|
Updates
|
"Jeff Bezos and Mary's Place recently welcomed..." | ||
|
Similar companies
|
|||
|
Affiliated pages
|
Amazon Web Services (AWS) | ||
| Integer | 16551 | Company ID | |
| String | 10,001+ employees | Company Employee Count | |
|
Headquarters Location
|
Seattle, WA | ||
|
Type
|
Public Company | ||
|
Specialties
|
e-Commerce, Retail, Operations, and Internet |
Description
Country Coverage
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
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Frequently asked questions
What is Bright Data Lazada - Products Dataset?
Lazada products dataset encompasses a wide range of data related to products available on the Lazada platform across several domains. The dataset include details such as product attributes, pricing, customer reviews, seller information, and more.
What is Bright Data Lazada - Products Dataset used for?
This product has 5 key use cases. Bright Data recommends using the data for Business Intelligence (BI), Employment Analytics, Corporate Development, HR Strategy, and HR Intelligence. Global businesses and organizations buy Firmographic Data from Bright Data to fuel their analytics and enrichment.
Who can use Bright Data Lazada - Products Dataset?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Firmographic Data. Get in touch with Bright Data to see what their data can do for your business and find out which integrations they provide.
Which countries does Bright Data Lazada - Products Dataset cover?
This product includes data covering 245 countries like USA, China, Japan, Germany, and India. Bright Data is headquartered in United States of America.
How much does Bright Data Lazada - Products Dataset cost?
Pricing information for Bright Data Lazada - Products Dataset is available by getting in contact with Bright Data. Connect with Bright Data to get a quote and arrange custom pricing models based on your data requirements.
How can I get Bright Data Lazada - Products Dataset?
Businesses can buy Firmographic Data from Bright Data and get the data via S3 Bucket, SFTP, Email, and Streaming API. Depending on your data requirements and subscription budget, Bright Data can deliver this product in .json and .csv format.
What is the data quality of Bright Data Lazada - Products Dataset?
Bright Data has reported that this product has the following quality and accuracy assurances: 97% Success rate in real-time. You can compare and assess the data quality of Bright Data using Datarade’s data marketplace. Bright Data has received 5 reviews from clients. Bright Data appears on selected Datarade top lists ranking the best data providers, including Best 8 APIs for SEO Optimization, Best 6 SERP Tracking APIs for Accurate Monitoring, and Best +8 Web Scraping APIs to use in 2023.
What are similar products to Bright Data Lazada - Products Dataset?
This product has 3 related products. These alternatives include Bright Data Zara Products Dataset Zara.com, Top 50K Growing Companies by Employee Growth Rate: Company Data like Detailed Industry, Location - Updated for 2024, and Coresignal Employee Data Company Data Global / 783M+ Records / 5 Years Of Historical Data / Updated Daily. You can compare the best Firmographic Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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