Retail store dataset
Enhance business performance by leveraging retail store datasets to uncover valuable insights into customer behavior, sales trends, inventory management, and more.
- Hundreds of millions of records available
- Retail store datasets from multiple websites at your fingertips
- Free retail data samples for download
Trusted by 20,000+ customers worldwide
Available retail datasets
Chances are we've already built and maintained the data collection from popular websites. Ensure hassle-free data access by using ready-made datasets.
- Demo data in JSON/CSV
- Fresh records
- Customize, enrich, and format the data
Amazon products
Shopee - products
Amazon Reviews
Walmart - products
TikTok Shop
Shein- Products
eBay
Amazon sellers info
Amazon products global dataset
Google Shopping
Amazon best seller products
Home Depot US
Etsy
Amazon products search
Amazon Walmart
Zara - Products
Lazada - Products
Target
Best Buy products
Ikea - Products
Ozon.ru products
Sephora products
Google Play Store reviews
Myntra products
Walmart sellers info
Lowes.com
Google Shopping products search US
H&M - Products
Apple App Store reviews
Tokopedia Products
Webmotors Brasil - Cars Listings
Digikey - Products
Mouser - Products
Naver products
Wayfair products
Wildberries.ru products
Carsales Cars Listings search page information
Chileautos Chile - Cars Listings
Zalando products
carsales.com.au - Cars Listings
Lazada - Reviews
Asos - Products
Lego - Products
Hermes- Products
Home Depot CA
Lazada products search (GMV)
Chanel Products
Dior - Products
Ashleyfurniture - Products
AE.com - Complete Products
Mango Products
Balenciaga.com - Products
Mediamarkt.de products
Fanatics.com - Products
Toysrus - Products
Carters.com - Products
Zara Home Products
Prada.com - Products
Crateandbarrel - Products
Loewe.com - Products
Ysl.com - Products
Delvaux - Products
Fendi Products
Massimo Dutti - Products
Mattressfirm - Products
Bottegaveneta.com - Products
Sleepnumber.com - Products
Mybobs.com - Products
Celine.com - Products
Raymourflanigan.com - Products
Berluti.com - Products
Rona.ca products
La-z-boy.com - Products
Montblanc - Products
Walmart - products zipcodes
llbean.com - Products
Moynat.com - Products
mercadolivre.com.br products
Walmart products search
Coupang products
TikTok Shop Category Products
Datasets Pricing
- Sauber und validiert
- Monatlich aufgefrischt
- JSON/CSV/Parquet
KI-Agenten sofort aktivieren
Unsere Retail Store Datensätze sind AI/LLM-optimiert: klar strukturiert, gut dokumentiert, mit Code und Rezepten für eine einfache LLM/Chatbot-Integration.
Strukturiert & sauber
Vorverarbeitete Daten mit konsistenten Schemata, perfekt für das Training und die Inferenz von KI-Modellen.
Code-Beispiele
Gebrauchsfertige Python-, Node.js-, cURL-, PHP-, Go-, Java- und Ruby-Snippets zur einfachen Integration in KI-Workflows.
Dokumentation
curl --request GET
--url https://api.brightdata.com/datasets/snapshots/{id}/download
--header 'Authorization: Bearer '
Anfragen importieren
url = "https://api.brightdata.com/datasets/snapshots/{id}/download"
headers = {"Authorization": "Bearer "}
response = requests.get(url, headers=headers)
print(response.json())
const url = 'https://api.brightdata.com/datasets/snapshots/{id}/download';
const options = {method: 'GET', headers: {Authorization: 'Bearer '}, body: undefined};
try {
const response = await fetch(url, options);
const data = await response.json();
console.log(data);
} catch (error) {
console.error(error);
}
HttpResponse response = Unirest.get("https://api.brightdata.com/datasets/snapshots/{id}/download")
.header("Authorization", "Bearer ")
.asString();
require 'uri'
erfordern 'net/http'
url = URI("https://api.brightdata.com/datasets/snapshots/{id}/download")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
Anfrage = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer '
response = http.request(request)
puts response.read_body
Retail store datasets tailored to your needs
Daten-Abonnement
Abonnieren Sie den Zugang zu Datensätzen zu deutlich reduzierten Kosten.
Datei-Ausgabeformate
JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz-Komprimierung.
Flexible Lieferung
Snowflake, Amazon S3-Bucket, Google Cloud, Azure und SFTP.
Skalierbare Daten
Skalieren Sie, ohne sich um Infra, Proxy-Server oder Blöcke kümmern zu müssen.
Kosteneinsparungen
Passen Sie jeden Datensatz mithilfe von Filtern und Formatierungsoptionen an.
Codepflege
Die Datensätze werden auf der Grundlage von Änderungen der Website-Struktur gepflegt.
Vereinfachte Integrationen
Profitieren Sie von Integrationen mit Snowflake und AWS.
24/7-Support
Ein engagiertes Team von Datenexperten ist für Sie da.
Führend bei der Einhaltung von Vorschriften
Die Daten werden nach ethischen Grundsätzen und unter Einhaltung aller Datenschutzgesetze erhoben.
Get structured and reliable retail store data
Wir liefern die Daten, während Sie sich auf den Rest konzentrieren
Umfangreiche Webdaten
Durch unsere Entsperrungsfunktionen und IP-Rotation rund um die Uhr gewährleisten wir den Zugriff auf alle Datenpunkte einer Website.
Daten zur sofortigen Verwendung
Im Rahmen unseres robusten Datenvalidierungsprozesses wird jeder Aspekt der Datenerfassung sorgfältig validiert.
Automatisierter Datenfluss
Erstellen Sie benutzerdefinierte Zeitpläne, um die Datenübermittlung zu automatisieren, und beobachten Sie, wie die Daten reibungslos in Ihren Speicher fließen.
How companies use retail store datasets
Product offerings
Purchase history
Identify best sellers
Retail store dataset FAQs
What data is included in the retail store dataset?
Data points include product name, price, category name, materials, matched, similar products, low on stock, image, and more. Purchase a full coverage dataset or a subset.
Can I get updates for my purchased retail store dataset?
Yes, you can get updates to your retail store dataset on a daily, weekly, monthly, or custom basis.
Can I purchase a subset of the retail store dataset?
Yes, you can purchase a retail store subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.
In what format will I receive the retail store dataset?
Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.
Can I scrape retail public data by myself?
If you don’t want to purchase a dataset, you can start scraping retail data using our eCommerce Scraper API.
Can I get a data sample?
Yes, you can request sample data to evaluate the quality and relevance of the information provided. This is a great way to ensure it meets your needs before committing to a full dataset.
Can I request specific data points from the retail store dataset?
Yes, you can request specific data points from the retail store dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.
Is it possible to integrate the retail store dataset directly into my existing systems?
Absolutely, the retail store dataset offers seamless API integration, allowing you to effortlessly integrate the data into your CRM, analytics tools, or any other systems you use, streamlining your operations.