Bright Data | Retail Data | Custom Dataset of Retail Market, Web-Scraped - Available at scale for any use case
| # | timestamp |
Url |
price |
sku |
currency |
gtin |
specifications |
ingredients |
pictures |
Customer reviews & rating - breakdown by positive and negative |
Customer reviews & ratings - breakdown by specific |
Nutrition information |
Related pages |
available for delivery |
available for pickup |
brand name |
categories hierarchy |
categories ids |
categories url |
number of reviews |
product details |
product id |
product name |
reviews tags (Frequent Mentions) |
product_name |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 |
| 2 | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx |
| 3 | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx |
| 4 | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx |
| 5 | 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 |
| 6 | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx |
| 7 | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx |
| 8 | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx |
| 9 | 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 |
| 10 | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | 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 | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
timestamp
|
DateTime | 2022-11-26T00:00:00+00:00 | |
|
Url
|
String | https://walmart.com/ip/TV-Class-18-18-One-Party-Portable-... | |
|
price
|
String | $8.98 | |
|
sku
|
Integer | 938140188 | |
|
currency
|
String | USD | |
|
gtin
|
Float | 75353149034.0 | |
|
specifications
|
String | null | |
|
ingredients
|
String | N/A | |
|
pictures
|
String | https://i5.walmartimages.com/asr/075eee12-e6e0-474f-9402-... | |
|
Customer reviews & rating - breakdown by positive and negative
|
String | {"negative":{"rating":1,"review":"Not worth the money. Gi... | |
|
Customer reviews & ratings - breakdown by specific
|
String | {"1 star":3,"2 Stars":1,"3 stars":4,"4 stars":10,"5 stars... | |
|
Nutrition information
|
String | N/A | |
|
Related pages
|
String | ||
|
available for delivery
|
Boolean | t | |
|
available for pickup
|
Boolean | t | |
|
brand name
|
String | Duck Brand | |
|
categories hierarchy
|
String | Office Supplies, Shipping & Moving, Bubble & Stretch Wrap... | |
|
categories ids
|
String | 0:1229749:2696828:5286664:5636662 | |
|
categories url
|
String | https://walmart.com/cp/5636662 | |
|
number of reviews
|
Integer | 86 | |
|
product details
|
String | null | |
|
product id
|
Integer | 938140188 | |
|
product name
|
String | Duck Bubble Pouches, 7.5 in x 7.5 in, Clear, 20 Pack | |
|
reviews tags (Frequent Mentions)
|
String | Ease Of Use (13),Size (7),Bubble (4),Value (4),Protection... | |
|
product_name
|
String | null |
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
Timestamp
|
2021-05-02T17:28:25.449Z | ||
|
URL
|
https://www.linkedin.com/organization-guest/company/amazon | ||
| String | Amazon | Company Name | |
|
Slogan
|
When available | ||
|
Industries
|
Internet | ||
|
Followers
|
19156025 | ||
|
Stock Symbol
|
AMZN | ||
|
Funding rounds
|
2 total rounds | ||
|
Last funding round
|
Post IPO equity | ||
|
Money raised
|
US$ 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
Geography
Pricing
Suitable Company Sizes
Quality
Delivery
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Frequently asked questions
What is Bright Data Retail Data Custom Dataset of Retail Market, Web-Scraped - Available at scale for any use case?
Use our dataset for any project related to eCommerce and retail. Analyzing the dataset can help retailers understand Zara’s pricing and product strategies and adjust their strategy accordingly to remain competitive.
What is Bright Data Retail Data Custom Dataset of Retail Market, Web-Scraped - Available at scale for any use case 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 Retail Data Custom Dataset of Retail Market, Web-Scraped - Available at scale for any use case?
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 Retail Data Custom Dataset of Retail Market, Web-Scraped - Available at scale for any use case 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 Retail Data Custom Dataset of Retail Market, Web-Scraped - Available at scale for any use case cost?
Pricing information for Bright Data Retail Data Custom Dataset of Retail Market, Web-Scraped - Available at scale for any use case 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 Retail Data Custom Dataset of Retail Market, Web-Scraped - Available at scale for any use case?
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 Retail Data Custom Dataset of Retail Market, Web-Scraped - Available at scale for any use case?
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 APIs For SEO to use in 2023, Best +8 Web Scraping APIs to use in 2023, and Best 6 SERP Tracking APIs to use in 2023.
What are similar products to Bright Data Retail Data Custom Dataset of Retail Market, Web-Scraped - Available at scale for any use case?
This Data Platform has 3 related products. These alternatives include Bright Data Stack Overflow user profiles (Public web data) Stackoverflow.com, Coresignal Employee Data Company Data Global / 757M+ Records / 5 Years Of Historical Data / Updated Daily, and Forager.ai - Global Job Postings Data Set 732M Records 21M Updates/Month Delivery Hourly via CSV/JSON/PostgreSQL Human Resources (HR) Data. 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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