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
Mehr als 20,000+ Kunden weltweit schenken uns ihr Vertrauen
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
Amazon Reviews
Shopee - products
Walmart - products
TikTok Shop
Shein- Products
Google Shopping
Amazon products global dataset
Amazon sellers info
eBay
Amazon best seller products
Home Depot US
Etsy
Amazon products search
Amazon Walmart
Zara - Products
Target
Lazada - Products
Best Buy products
Walmart sellers info
Ikea - Products
Sephora products
Lowes.com
Ozon.ru products
Google Play Store reviews
Myntra products
Google Shopping products search US
H&M - Products
Naver products
Webmotors Brasil - Cars Listings
Wayfair products
Tokopedia Products
Apple App Store reviews
Digikey - Products
Wildberries.ru products
Mouser - Products
Carsales Cars Listings search page information
Chileautos Chile - Cars Listings
Zalando products
carsales.com.au - Cars Listings
Asos - Products
Lazada - Reviews
Hermes- Products
Lego - Products
Chanel Products
Home Depot CA
Lazada products search (GMV)
Dior - Products
Ashleyfurniture - Products
AE.com - Complete Products
Mango Products
Balenciaga.com - Products
Mediamarkt.de products
Fanatics.com - Products
Toysrus - Products
mercadolivre.com.br products
Carters.com - Products
Zara Home Products
Loewe.com - Products
Prada.com - Products
Crateandbarrel - Products
Rona.ca products
Ysl.com - Products
Delvaux - Products
Fendi Products
Kroger.com
Massimo Dutti - Products
Bottegaveneta.com - Products
Mattressfirm - Products
Raymourflanigan.com - Products
llbean.com - Products
Sleepnumber.com - Products
Celine.com - Products
Mybobs.com - Products
La-z-boy.com - Products
Berluti.com - Products
Montblanc - Products
Moynat.com - Products
Walmart - products zipcodes
Walmart products search
Falabella.com
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.