---
title: "Competitor Price Monitoring API - Price Scraper for E-Commerce"
description: "Scrape competitor prices from any e-commerce site. A price monitoring and tracking API that extracts prices, discounts, and stock for smarter pricing."
url: https://webscraping.ai/use-cases/price-monitoring
markdown_index: https://webscraping.ai/llms.txt
---
E-COMMERCE & RETAIL

# Competitor Price Monitoring API

Scrape competitor prices from any e-commerce site and feed clean pricing data into your strategy. A price scraper and tracking API built for retail and pricing teams.

[Start Free Trial](https://webscraping.ai/auth/sign_up)[View Documentation](https://webscraping.ai/docs)

## The Challenge of Manual Price Tracking

Staying competitive in e-commerce requires constant vigilance of competitor pricing. Manual price checks are time-consuming, error-prone, and impossible to scale across hundreds or thousands of products.

Traditional approaches fail because competitor websites change frequently, block automated access, and use JavaScript rendering that standard tools can't handle.

#### WebScraping.AI Solution

- **AI-Powered Extraction:** Automatically extract prices from any product page, even with complex layouts
- **JavaScript Rendering:** Full Chrome browser rendering handles dynamic pricing widgets
- **Rotating Proxies:** Built-in proxy rotation prevents blocks and ensures reliable data collection
- **Structured Data:** Get clean, structured price data ready for analysis

## Key Features for Price Monitoring

Everything you need to build a robust price monitoring system

#### AI Field Extraction

Use natural language to describe what price data you need - our AI handles the rest.

#### On-Demand Checks

Re-check prices as often as you need - hourly, daily, or on every catalog update.

#### Historical Tracking

Store and analyze price history to identify trends and patterns.

#### Price Alerts

Compare each check with the last one and trigger your own alerts when prices change.

## How It Works

Get started with price monitoring in three simple steps

1

#### Send Product URLs

Pass competitor product page URLs to our API with the price fields you want to extract.

2

#### AI Extracts Prices

Our AI renders the page, handles anti-bot measures, and extracts the exact price data you need.

3

#### Get Structured Data

Receive clean JSON with prices, currency, availability, and any other fields you specified.

## Code Examples

Extract competitor prices with just a few lines of code

**cURL**

```bash
curl -G "https://api.webscraping.ai/ai/fields" \
  --data-urlencode "api_key=YOUR_API_KEY" \
  --data-urlencode "url=https://example-store.com/product/laptop-pro-15" \
  --data-urlencode "fields[product_name]=The name of the product" \
  --data-urlencode "fields[current_price]=The current selling price as a number" \
  --data-urlencode "fields[original_price]=The original price before discount, if shown" \
  --data-urlencode "fields[currency]=The currency symbol or code" \
  --data-urlencode "fields[in_stock]=Whether the product is in stock (true/false)" \
  --data-urlencode "fields[seller]=The seller or retailer name"
# Response:
# {
# "result": {
# "product_name": "Laptop Pro 15",
# "current_price": "1299.99",
# "original_price": "1499.99",
# "currency": "USD",
# "in_stock": "true",
# "seller": "Example Store"
# }
# }
```

**Python**

```python
# 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/laptop-pro-15",
    fields={
        "product_name": "The name of the product",
        "current_price": "The current selling price as a number",
        "original_price": "The original price before discount, if shown",
        "currency": "The currency symbol or code",
        "in_stock": "Whether the product is in stock (true/false)",
        "seller": "The seller or retailer name",
    },
)
print(result)
# Response:
# {
# "result": {
# "product_name": "Laptop Pro 15",
# "current_price": "1299.99",
# "original_price": "1499.99",
# "currency": "USD",
# "in_stock": "true",
# "seller": "Example Store"
# }
# }
```

**JavaScript**

```javascript
// 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/laptop-pro-15',
  fields: {
    product_name: 'The name of the product',
    current_price: 'The current selling price as a number',
    original_price: 'The original price before discount, if shown',
    currency: 'The currency symbol or code',
    in_stock: 'Whether the product is in stock (true/false)',
    seller: 'The seller or retailer name',
  },
});
console.log(result);
// Response:
// {
// "result": {
// "product_name": "Laptop Pro 15",
// "current_price": "1299.99",
// "original_price": "1499.99",
// "currency": "USD",
// "in_stock": "true",
// "seller": "Example Store"
// }
// }
```

**PHP**

```php
<?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 = $client->fields('https://example-store.com/product/laptop-pro-15', [
    'product_name' => 'The name of the product',
    'current_price' => 'The current selling price as a number',
    'original_price' => 'The original price before discount, if shown',
    'currency' => 'The currency symbol or code',
    'in_stock' => 'Whether the product is in stock (true/false)',
    'seller' => 'The seller or retailer name',
]);
print_r($result);
// Response:
// {
// "result": {
// "product_name": "Laptop Pro 15",
// "current_price": "1299.99",
// "original_price": "1499.99",
// "currency": "USD",
// "in_stock": "true",
// "seller": "Example Store"
// }
// }
```

**Ruby**

```ruby
# 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/laptop-pro-15',
  fields: {
    product_name: 'The name of the product',
    current_price: 'The current selling price as a number',
    original_price: 'The original price before discount, if shown',
    currency: 'The currency symbol or code',
    in_stock: 'Whether the product is in stock (true/false)',
    seller: 'The seller or retailer name',
  }
)
puts result.inspect
# Response:
# {
# "result": {
# "product_name": "Laptop Pro 15",
# "current_price": "1299.99",
# "original_price": "1499.99",
# "currency": "USD",
# "in_stock": "true",
# "seller": "Example Store"
# }
# }
```

**Go**

```go
// 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/laptop-pro-15",
        Fields: map[string]string{
            "product_name": "The name of the product",
            "current_price": "The current selling price as a number",
            "original_price": "The original price before discount, if shown",
            "currency": "The currency symbol or code",
            "in_stock": "Whether the product is in stock (true/false)",
            "seller": "The seller or retailer name",
        },
    })
    fmt.Println(result.Result)
}
// Response:
// {
// "result": {
// "product_name": "Laptop Pro 15",
// "current_price": "1299.99",
// "original_price": "1499.99",
// "currency": "USD",
// "in_stock": "true",
// "seller": "Example Store"
// }
// }
```

**Java**

```java
// Maven: ai.webscraping:webscraping-ai:4.2.0
// 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/laptop-pro-15")
    .addField("product_name", "The name of the product")
    .addField("current_price", "The current selling price as a number")
    .addField("original_price", "The original price before discount, if shown")
    .addField("currency", "The currency symbol or code")
    .addField("in_stock", "Whether the product is in stock (true/false)")
    .addField("seller", "The seller or retailer name")
    .build());
System.out.println(result.getResult());
// Response:
// {
// "result": {
// "product_name": "Laptop Pro 15",
// "current_price": "1299.99",
// "original_price": "1499.99",
// "currency": "USD",
// "in_stock": "true",
// "seller": "Example Store"
// }
// }
```

**C#**

```csharp
// 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/laptop-pro-15",
    Fields = new Dictionary<string, string> {
        ["product_name"] = "The name of the product",
        ["current_price"] = "The current selling price as a number",
        ["original_price"] = "The original price before discount, if shown",
        ["currency"] = "The currency symbol or code",
        ["in_stock"] = "Whether the product is in stock (true/false)",
        ["seller"] = "The seller or retailer name",
    },
});
Console.WriteLine(result.Result);
// Response:
// {
// "result": {
// "product_name": "Laptop Pro 15",
// "current_price": "1299.99",
// "original_price": "1499.99",
// "currency": "USD",
// "in_stock": "true",
// "seller": "Example Store"
// }
// }
```

## Why Use WebScraping.AI for Price Monitoring?

**Reliable Extraction:** Rotating datacenter and residential proxies plus full browser rendering keep price scraping working on sites that block basic tools.

**No Infrastructure Needed:** Skip building and maintaining your own scraping infrastructure. We handle everything.

**Scale Instantly:** Monitor 10 products or 10,000 - our API scales with your needs without code changes.

**AI-Powered Accuracy:** Our AI understands page context, extracting the right price even from complex layouts.

**Cost Effective:** Pay only for successful requests. No upfront costs or long-term commitments.

#### Common Price Monitoring Scenarios

**Dynamic Pricing**

Adjust your prices automatically based on competitor movements

**Price Benchmarking**

Compare your prices against market leaders and identify opportunities

**Promotional Tracking**

Monitor competitor sales, discounts, and seasonal promotions

**Multi-Market Analysis**

Track prices across different regions and marketplaces

## Related Use Cases

Explore other ways to leverage web scraping for e-commerce

[Product Data Aggregation](https://webscraping.ai/use-cases/product-data-aggregation): Collect complete product catalogs including specs, images, and reviews.

[Stock Monitoring](https://webscraping.ai/use-cases/stock-inventory-monitoring): Track product availability and inventory levels across competitors.

[MAP Compliance](https://webscraping.ai/use-cases/map-compliance-monitoring): Monitor minimum advertised price compliance across your distribution network.

## Start Monitoring Competitor Prices Today

Get started with 2,000 free API credits. No credit card required.

[Start Free Trial](https://webscraping.ai/auth/sign_up)[View API Documentation](https://webscraping.ai/docs)