Home Depot Datasets
Use our Home Depot dataset to access comprehensive product information, including pricing, categories, availability, customer ratings, and reviews. This dataset is tailored for market analysts, retailers, and e-commerce professionals to analyze trends and performance in the home improvement market.
- Over 4.8M records available
- 100% ethical and compliant data collection
- Free Home Depot data samples for download
- Starting from price $250/100K records
Confiado por 20,000+ clientes
Available Home Depot and related datasets
- Demo data in JSON/CSV
- Fresh records
- Customize, enrich, and format the data
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Maximizar el valor con un ahorro estratégico de costes
Actualización inteligente de datos
Acceda sólo a "Registros nuevos" o "Registros actualizados", asegurándose de pagar sólo por lo que necesita".
Conjuntos de datos
Obtenga mayor valor comprando dos o más conjuntos de datos juntos, con descuentos exclusivos.
Descuentos por volumen
Obtenga más por menos con importantes ahorros al adquirir grandes conjuntos de datos o suscripciones a actualizaciones.
Conjuntos de datos enriquecidos
Ahorre tiempo y recursos con conjuntos de datos preconstruidos que combinan múltiples fuentes en un conjunto de datos limpio.
Home Depot dataset sample
The Home Depot dataset includes all major data points: URL, model number, SKU, product ID, product name, manufacturer, final price, initial price, in stock, category, and more. Subsets are available by categories and specific data points.
Precios de Conjuntos de Datos
- Limpio y validado
- Actualización mensual
- JSON/CSV/Parquet
Potencie los agentes de IA al instante
Nuestros conjuntos de datos Home Depot Dataset están optimizados para AI/LLM: claramente estructurados, bien documentados, con código y recetas para una fácil integración LLM/chatbot. recetas para una fácil integración LLM/chatbot.
Estructurado y limpio
Datos preprocesados con esquemas coherentes, perfectos para el entrenamiento y la inferencia de modelos de IA.
Ejemplos de códigos
Fragmentos de Python, Node.js, cURL, PHP, Go, Java y Ruby listos para usar que se integran fácilmente en los flujos de trabajo de IA.
Documentación
curl --request GET
--url https://api.brightdata.com/datasets/snapshots/{id}/download
--header 'Autorización: Portador '
importar solicitudes
url = "https://api.brightdata.com/datasets/snapshots/{id}/download"
headers = {"Authorization": "Bearer "}
response = requests.get(url, headers=headers)
print(respuesta.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(datos);
} catch (error) {
console.error(error);
}
HttpResponse response = Unirest.get("https://api.brightdata.com/datasets/snapshots/{id}/download")
.header("Authorization", "Portador ")
.asString();
requerir "uri
requiere "net/http
url = URI("https://api.brightdata.com/datasets/snapshots/{id}/download")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Portador '
response = http.request(request)
puts respuesta.leer_cuerpo
Home Depot datasets tailored to your needs
Suscripción de datos
Suscríbase para acceder a los conjuntos de datos a un coste significativamente reducido.
Formatos de archivo
JSON, NDJSON, JSON Lines, CSV, Parquet. Compresión .gz opcional.
Entrega flexible
Snowflake, Amazon S3 bucket, Google Cloud, Azure y SFTP.
Datos escalables
Amplíe sin preocuparse por la infraestructura, los servidores proxy o los bloqueos.
Ahorro de costes
Personaliza cualquier conjunto de datos mediante filtros y opciones de formato.
Mantenimiento del código
Los conjuntos de datos se actualizan en función de los cambios en la estructura del sitio web.
Integraciones simplificadas
Benefíciese de las integraciones con Snowflake y AWS.
Asistencia 24/7
Un equipo especializado de profesionales de datos está aquí para ayudarte.
Líderes en cumplimiento
Los datos se obtienen de forma ética y cumplen todas las leyes de privacidad.
Get structured and reliable Home Depot data
Te facilitamos los datos mientras tú te centras en lo demás
Datos web de gran volumen
Con nuestras funciones de desbloqueo y de rotación de las direcciones IP las 24 horas del día, garantizamos el acceso a todos los puntos de datos de un sitio web.
Datos para uso inmediato
Todos los aspectos del proceso de recopilación de datos se validan a fondo como parte de nuestro potente proceso de validación de datos.
Flujo de datos automatizado
Crea cronogramas personalizados para automatizar la entrega de datos y comprueba cómo los datos fluyen sin problemas hacia su almacenamiento.
How companies use Home Depot datasets
Pricing Optimization
Identify Gaps
Market Strategy Optimization
Home Depot Dataset FAQs
What data is included in the Home Depot dataset?
The Home Depot dataset includes all major data points: URL, model number, SKU, product ID, product name, manufacturer, final price, initial price, in stock, category, and more. Subsets are available by categories and specific data points.
Can I get updates for my purchased Home Depot dataset?
Yes, you can get updates to your Home Depot dataset on a daily, weekly, monthly, or custom basis.
Can I purchase a subset of the Home Depot dataset?
Yes, you can purchase a Home Depot 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 Home Depot dataset?
Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.
Can I scrape Home Depot public data by myself?
If you don’t want to purchase a dataset, you can start scraping Home Depot data using our Home Depot scraper.
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 Home Depot dataset?
Yes, you can request specific data points from the Home Depot dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.
Is it possible to integrate the Home Depot dataset directly into my existing systems?
Absolutely, the Home Depot 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.
How Home Depot datasets can help me?
The Home Depot Products Dataset, specifically curated for the United States market, serves as a comprehensive resource for businesses, researchers, and analysts navigating the vast range of products offered by Home Depot. As a leading retailer in home improvement and construction materials, Home Depot provides an extensive selection of products tailored to the needs of American consumers. This dataset offers a detailed glimpse into Home Depot’s e-commerce ecosystem, facilitating market analysis, pricing optimization, customer behavior understanding, and competitor assessment within the U.S. market. At its core, the dataset encompasses essential attributes such as product ID, title, descriptions, ratings, reviews, pricing details, and seller information. These pivotal data points empower users to extract insights into product performance, customer sentiment, and seller credibility, enabling informed decision-making processes tailored to the U.S. market.
Whether you’re a retailer aiming to diversify your product offerings, a researcher investigating trends in the American home improvement industry, or an analyst seeking to refine e-commerce strategies for the U.S. market, the Home Depot Products Dataset for the United States provides a valuable resource for uncovering opportunities and driving success in the ever-evolving landscape of retail.
What are the delivery options?
Delivery methods include: Email, API download, Webhook, Amazon S3, Google Cloud storage, Google Cloud PubSub, Microsoft Azure, Snowflake, and SFTP.