E-COMMERCE & RETAIL

Product Data Aggregation at Scale

Build comprehensive product databases by extracting specifications, descriptions, images, and reviews from any e-commerce website.

Start Free Trial View Documentation

Building Product Databases Is Hard

Creating comprehensive product catalogs requires collecting data from dozens of sources. Each site has different structures, formats, and anti-scraping measures.

Manual data collection doesn't scale, and building custom scrapers for each source is expensive and time-consuming to maintain.

WebScraping.AI Solution

  • Universal Extraction: One API works across all e-commerce sites, no custom code needed
  • AI Understanding: Our AI identifies product fields regardless of page structure
  • Rich Data: Extract specs, descriptions, images, reviews, variants, and more
  • JSON Output: Get clean, structured data ready for your database

Complete Product Data Extraction

Extract every detail you need from product pages

Specifications

Extract technical specs, dimensions, materials, and all product attributes.

Images & Media

Collect all product images, videos, and media gallery URLs.

Reviews & Ratings

Aggregate customer reviews, ratings, and sentiment data.

Variants & Options

Capture all product variants, sizes, colors, and their prices.

How It Works

Aggregate product data in three simple steps

1

Define Your Schema

Describe the product fields you want using natural language - name, specs, images, reviews, etc.

2

Send Product URLs

Pass product page URLs from any e-commerce site. Our AI handles the extraction automatically.

3

Build Your Catalog

Receive structured JSON data ready to import into your database or product catalog.

Code Examples

Extract complete product data with a single API call

curl -G "https://api.webscraping.ai/ai/fields" \
  --data-urlencode "api_key=YOUR_API_KEY" \
  --data-urlencode "url=https://example-store.com/product/wireless-headphones" \
  --data-urlencode "fields[name]=Product name" \
  --data-urlencode "fields[brand]=Brand or manufacturer" \
  --data-urlencode "fields[price]=Current price as a number" \
  --data-urlencode "fields[description]=Full product description" \
  --data-urlencode "fields[specifications]=Array of specification objects with name and value" \
  --data-urlencode "fields[images]=Array of all product image URLs" \
  --data-urlencode "fields[rating]=Average customer rating" \
  --data-urlencode "fields[review_count]=Number of reviews" \
  --data-urlencode "fields[variants]=Array of available variants (color, size) with prices"
# Response:
# {
#   "name": "Pro Wireless Headphones",
#   "brand": "AudioTech",
#   "price": 199.99,
#   "description": "Premium wireless headphones with...",
#   "specifications": [
#     {"name": "Battery Life", "value": "30 hours"},
#     {"name": "Driver Size", "value": "40mm"}
#   ],
#   "images": ["https://...", "https://..."],
#   "rating": 4.5,
#   "review_count": 1247,
#   "variants": [
#     {"color": "Black", "price": 199.99},
#     {"color": "Silver", "price": 209.99}
#   ]
# }
# pip install webscraping_ai
# https://pypi.org/project/webscraping-ai/
from webscraping_ai import Client

client = Client(api_key="YOUR_API_KEY")
result = client.fields(
    "https://example-store.com/product/wireless-headphones",
    fields={
        "name": "Product name",
        "brand": "Brand or manufacturer",
        "price": "Current price as a number",
        "description": "Full product description",
        "specifications": "Array of specification objects with name and value",
        "images": "Array of all product image URLs",
        "rating": "Average customer rating",
        "review_count": "Number of reviews",
        "variants": "Array of available variants (color, size) with prices",
    },
)
print(result)
# Response:
# {
#   "name": "Pro Wireless Headphones",
#   "brand": "AudioTech",
#   "price": 199.99,
#   "description": "Premium wireless headphones with...",
#   "specifications": [
#     {"name": "Battery Life", "value": "30 hours"},
#     {"name": "Driver Size", "value": "40mm"}
#   ],
#   "images": ["https://...", "https://..."],
#   "rating": 4.5,
#   "review_count": 1247,
#   "variants": [
#     {"color": "Black", "price": 199.99},
#     {"color": "Silver", "price": 209.99}
#   ]
# }
// npm install webscraping-ai
// https://www.npmjs.com/package/webscraping-ai
import { WebScrapingAI } from 'webscraping-ai';

const client = new WebScrapingAI({ apiKey: 'YOUR_API_KEY' });
const result = await client.fields({
  url: 'https://example-store.com/product/wireless-headphones',
  fields: {
    name: 'Product name',
    brand: 'Brand or manufacturer',
    price: 'Current price as a number',
    description: 'Full product description',
    specifications: 'Array of specification objects with name and value',
    images: 'Array of all product image URLs',
    rating: 'Average customer rating',
    review_count: 'Number of reviews',
    variants: 'Array of available variants (color, size) with prices',
  },
});
console.log(result);
// Response:
// {
//   "name": "Pro Wireless Headphones",
//   "brand": "AudioTech",
//   "price": 199.99,
//   "description": "Premium wireless headphones with...",
//   "specifications": [
//     {"name": "Battery Life", "value": "30 hours"},
//     {"name": "Driver Size", "value": "40mm"}
//   ],
//   "images": ["https://...", "https://..."],
//   "rating": 4.5,
//   "review_count": 1247,
//   "variants": [
//     {"color": "Black", "price": 199.99},
//     {"color": "Silver", "price": 209.99}
//   ]
// }
<?php
// composer require webscraping-ai/webscraping-ai-php
// https://packagist.org/packages/webscraping-ai/webscraping-ai-php
require 'vendor/autoload.php';

use WebScrapingAI\Client;

$client = new Client('YOUR_API_KEY');
$result = $client->fields('https://example-store.com/product/wireless-headphones', [
    'name'           => 'Product name',
    'brand'          => 'Brand or manufacturer',
    'price'          => 'Current price as a number',
    'description'    => 'Full product description',
    'specifications' => 'Array of specification objects with name and value',
    'images'         => 'Array of all product image URLs',
    'rating'         => 'Average customer rating',
    'review_count'   => 'Number of reviews',
    'variants'       => 'Array of available variants (color, size) with prices',
]);
print_r($result);
// Response:
// {
//   "name": "Pro Wireless Headphones",
//   "brand": "AudioTech",
//   "price": 199.99,
//   "description": "Premium wireless headphones with...",
//   "specifications": [
//     {"name": "Battery Life", "value": "30 hours"},
//     {"name": "Driver Size", "value": "40mm"}
//   ],
//   "images": ["https://...", "https://..."],
//   "rating": 4.5,
//   "review_count": 1247,
//   "variants": [
//     {"color": "Black", "price": 199.99},
//     {"color": "Silver", "price": 209.99}
//   ]
// }
# gem install webscraping_ai
# https://rubygems.org/gems/webscraping_ai
require 'webscraping_ai'

client = WebScrapingAI::Client.new(api_key: 'YOUR_API_KEY')
result = client.fields(
  'https://example-store.com/product/wireless-headphones',
  fields: {
    name:            'Product name',
    brand:           'Brand or manufacturer',
    price:           'Current price as a number',
    description:     'Full product description',
    specifications:  'Array of specification objects with name and value',
    images:          'Array of all product image URLs',
    rating:          'Average customer rating',
    review_count:    'Number of reviews',
    variants:        'Array of available variants (color, size) with prices',
  }
)
puts result.inspect
# Response:
# {
#   "name": "Pro Wireless Headphones",
#   "brand": "AudioTech",
#   "price": 199.99,
#   "description": "Premium wireless headphones with...",
#   "specifications": [
#     {"name": "Battery Life", "value": "30 hours"},
#     {"name": "Driver Size", "value": "40mm"}
#   ],
#   "images": ["https://...", "https://..."],
#   "rating": 4.5,
#   "review_count": 1247,
#   "variants": [
#     {"color": "Black", "price": 199.99},
#     {"color": "Silver", "price": 209.99}
#   ]
# }
// go get github.com/webscraping-ai/webscraping-ai-go/v4
// https://pkg.go.dev/github.com/webscraping-ai/webscraping-ai-go/v4
package main

import (
    "context"
    "fmt"

    webscrapingai "github.com/webscraping-ai/webscraping-ai-go/v4"
)

func main() {
    client, _ := webscrapingai.NewClient(&webscrapingai.Config{APIKey: "YOUR_API_KEY"})
    result, _ := client.Fields(context.Background(), &webscrapingai.FieldsOptions{
        URL: "https://example-store.com/product/wireless-headphones",
        Fields: map[string]string{
            "name": "Product name",
            "brand": "Brand or manufacturer",
            "price": "Current price as a number",
            "description": "Full product description",
            "specifications": "Array of specification objects with name and value",
            "images": "Array of all product image URLs",
            "rating": "Average customer rating",
            "review_count": "Number of reviews",
            "variants": "Array of available variants (color, size) with prices",
        },
    })
    fmt.Println(result.Result)
}
// Response:
// {
//   "name": "Pro Wireless Headphones",
//   "brand": "AudioTech",
//   "price": 199.99,
//   "description": "Premium wireless headphones with...",
//   "specifications": [
//     {"name": "Battery Life", "value": "30 hours"},
//     {"name": "Driver Size", "value": "40mm"}
//   ],
//   "images": ["https://...", "https://..."],
//   "rating": 4.5,
//   "review_count": 1247,
//   "variants": [
//     {"color": "Black", "price": 199.99},
//     {"color": "Silver", "price": 209.99}
//   ]
// }
// Maven: ai.webscraping:webscraping-ai:4.0.0
// https://central.sonatype.com/artifact/ai.webscraping/webscraping-ai
import ai.webscraping.Client;
import ai.webscraping.Config;
import ai.webscraping.option.FieldsOptions;
import ai.webscraping.result.FieldsResult;

Client client = new Client(Config.builder().apiKey("YOUR_API_KEY").build());
FieldsResult result = client.fields(FieldsOptions.builder()
    .url("https://example-store.com/product/wireless-headphones")
    .addField("name", "Product name")
    .addField("brand", "Brand or manufacturer")
    .addField("price", "Current price as a number")
    .addField("description", "Full product description")
    .addField("specifications", "Array of specification objects with name and value")
    .addField("images", "Array of all product image URLs")
    .addField("rating", "Average customer rating")
    .addField("review_count", "Number of reviews")
    .addField("variants", "Array of available variants (color, size) with prices")
    .build());
System.out.println(result.getResult());
// Response:
// {
//   "name": "Pro Wireless Headphones",
//   "brand": "AudioTech",
//   "price": 199.99,
//   "description": "Premium wireless headphones with...",
//   "specifications": [
//     {"name": "Battery Life", "value": "30 hours"},
//     {"name": "Driver Size", "value": "40mm"}
//   ],
//   "images": ["https://...", "https://..."],
//   "rating": 4.5,
//   "review_count": 1247,
//   "variants": [
//     {"color": "Black", "price": 199.99},
//     {"color": "Silver", "price": 209.99}
//   ]
// }
// dotnet add package WebScrapingAI
// https://www.nuget.org/packages/WebScrapingAI
using WebScrapingAI;

var client = new WebScrapingAIClient(new WebScrapingAIClientOptions { ApiKey = "YOUR_API_KEY" });
var result = await client.FieldsAsync(new FieldsRequest {
    Url = "https://example-store.com/product/wireless-headphones",
    Fields = new Dictionary<string, string> {
        ["name"] = "Product name",
        ["brand"] = "Brand or manufacturer",
        ["price"] = "Current price as a number",
        ["description"] = "Full product description",
        ["specifications"] = "Array of specification objects with name and value",
        ["images"] = "Array of all product image URLs",
        ["rating"] = "Average customer rating",
        ["review_count"] = "Number of reviews",
        ["variants"] = "Array of available variants (color, size) with prices",
    },
});
Console.WriteLine(result.Result);
// Response:
// {
//   "name": "Pro Wireless Headphones",
//   "brand": "AudioTech",
//   "price": 199.99,
//   "description": "Premium wireless headphones with...",
//   "specifications": [
//     {"name": "Battery Life", "value": "30 hours"},
//     {"name": "Driver Size", "value": "40mm"}
//   ],
//   "images": ["https://...", "https://..."],
//   "rating": 4.5,
//   "review_count": 1247,
//   "variants": [
//     {"color": "Black", "price": 199.99},
//     {"color": "Silver", "price": 209.99}
//   ]
// }

Benefits of Automated Product Aggregation

Cross-Platform Coverage: Extract from Amazon, eBay, Walmart, Shopify stores, and any e-commerce platform.
Consistent Schema: Get uniform data structure regardless of source website layout.
Automatic Updates: Schedule regular extractions to keep your catalog fresh.
Rich Media: Collect all product images and media for your listings.
Review Intelligence: Aggregate customer sentiment across platforms.

Use Cases

Comparison Shopping Engines

Build product comparison sites with data from multiple retailers

Marketplace Listings

Quickly populate your marketplace with rich product data

Product Research

Analyze product trends, features, and market gaps

Dropshipping Catalogs

Sync supplier product data to your store automatically

Related Use Cases

Explore other e-commerce scraping solutions

Price Monitoring

Track competitor pricing in real-time to optimize your pricing strategy.

Stock Monitoring

Track product availability and inventory levels across competitors.

MAP Compliance

Monitor minimum advertised price compliance across distributors.

Start Building Your Product Database

Get started with 1,000 free API credits. No credit card required.

Start Free Trial View API Documentation
Icon