Use Case

Price Monitoring
Track Competitor Prices via API

Monitor competitor prices across any e-commerce site. SnapRender handles JavaScript rendering, Cloudflare bypass, and anti-bot detection — you get clean, structured price data from product pages. Build automated price tracking with scheduled scrapes and custom alerts.

The problem

Manual price tracking doesn't scale

Checking competitor prices manually — or relying on browser extensions — breaks down quickly. Modern e-commerce sites use JavaScript rendering, dynamic pricing, A/B testing, and aggressive anti-bot protection that block simple scrapers.

SnapRender renders each product page in a real headless browser, extracts the price data using CSS selectors, and returns structured JSON. Schedule these calls with cron jobs and you have a fully automated price monitoring system — without managing browsers, proxies, or CAPTCHA solvers.

Code examples

Extract prices from any product page

Python
import requests
import json

# Scrape a product page and extract price data
resp = requests.post('https://api.snaprender.dev/v1/scrape',
    headers={'Authorization': 'Bearer YOUR_KEY'},
    json={
        'url': 'https://example-store.com/product/widget-pro',
        'extract': {
            'name': 'h1.product-title',
            'price': '.price-current',
            'was_price': '.price-was',
            'in_stock': '.stock-status',
            'seller': '.seller-name'
        }
    })

product = resp.json()
# {"name": "Widget Pro", "price": "$29.99",
#  "was_price": "$39.99", "in_stock": "In Stock",
#  "seller": "Official Store"}

# Compare with stored price and alert on changes
stored_price = get_stored_price(product['name'])
if product['price'] != stored_price:
    send_alert(product['name'], stored_price, product['price'])
    update_stored_price(product['name'], product['price'])
Node.js
// Monitor competitor prices on a schedule
const products = [
  'https://competitor-a.com/product/widget',
  'https://competitor-b.com/product/widget',
  'https://competitor-c.com/product/widget',
];

const results = await Promise.all(
  products.map(url =>
    fetch('https://api.snaprender.dev/v1/scrape', {
      method: 'POST',
      headers: {
        'Authorization': 'Bearer YOUR_KEY',
        'Content-Type': 'application/json'
      },
      body: JSON.stringify({
        url,
        extract: {
          price: '.product-price',
          name: '.product-name',
          availability: '.stock-indicator'
        }
      })
    }).then(r => r.json())
  )
);

// results: [{price: "$24.99", ...}, {price: "$27.99", ...}, ...]
// Store in DB, compare trends, trigger alerts
How it works

Build a price monitoring pipeline

1

Define your product URLs

Create a list of competitor product pages to monitor. Store URLs in a database or config file. Group by category or competitor for organized tracking.

2

Scrape on a schedule

Use cron jobs, serverless functions, or workflow tools to call SnapRender's scraping API at your desired frequency. Extract price, availability, and seller data with CSS selectors.

3

Store and compare

Save each price snapshot to your database with a timestamp. Compare current prices against historical baselines. Track trends, calculate averages, and detect anomalies.

4

Alert on changes

Trigger notifications when prices drop below or rise above your thresholds. Send alerts via email, Slack, or webhook. Power pricing dashboards for your team.

Simple pricing for price monitoring

Each product page scrape counts as one request. Monitor 500 products daily for $29/mo.

$0
100 req/mo
$9
1,500 req/mo
$29
5,000 req/mo
Start Free

Frequently asked questions

Price monitoring is the automated process of tracking product prices across competitor websites, marketplaces, and e-commerce platforms. Businesses use it to stay competitive, detect MAP violations, optimize pricing strategies, and identify market trends.

SnapRender's scraping API renders JavaScript-heavy e-commerce sites (Shopify, Amazon, Walmart) in a headless browser, bypasses Cloudflare and anti-bot protection, and returns structured data. You get clean price data from any product page without managing browsers or proxies.

It depends on your market. Fashion and electronics change prices multiple times daily — monitor every 2-4 hours. Stable markets (B2B, industrial) can check daily or weekly. SnapRender's API supports any frequency; schedule calls with cron jobs or your workflow tool.

Yes. SnapRender renders Amazon product pages in a real browser, bypasses bot detection, and extracts the current price, Buy Box winner, seller info, and availability. See our Amazon scraping guide for detailed implementation.

Scrape prices on a schedule (cron job or serverless function), compare against your stored baseline, and trigger alerts (email, Slack, webhook) when prices change beyond a threshold. SnapRender handles the scraping; you handle the alert logic in your backend.

Each product page scrape counts as one request. Monitoring 500 products daily costs ~15,000 requests/month — covered by the $29/mo plan. The free tier (100 requests/month) works for testing your implementation on a few products.

Never miss a price change.

Automated competitor price tracking with one API call per product. Start free.

Start Free — 100 requests/month