E-Commerce Intelligence
Your competitor changed their price 20 minutes ago
You found out from a customer. That gap between a competitor repricing and your team reacting is where you lose margin. Spider watches product pages for you and returns structured price data the moment something shifts.
Why your scraping bill is unpredictable
Most scraping providers charge credit multipliers for bot-protected sites. E-commerce stores are almost always protected. That makes your monthly bill a guessing game.
| Other providers | Spider | |
|---|---|---|
| Pages / month | 100,000 | 100,000 |
| Credit multiplier | 10-25x | 1x |
| Cost / page | $0.01-0.04 | $0.0006 |
| Monthly bill | $1,000-$4,000 | ~$60 |
Multiplier-based providers charge more for bot-protected or JS-rendered pages. Spider bills on bandwidth + compute at the same rate regardless of how protected the target site is. Estimate based on 100K Chrome-rendered scrapes. See full pricing .
Pull exactly the fields you need
Point CSS selectors at the elements you care about. Spider renders the full storefront, including JavaScript-loaded prices, runs your selectors, and hands back clean JSON. No HTML parsing on your end. Define selectors once, reuse them across every scheduled run.
import requests
response = requests.post(
"https://api.spider.cloud/scrape",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={
"url": "https://store.example.com/product/123",
"cache": False,
"css_extraction_map": {
"product": "h1.product-title",
"price": ".price-current",
"stock": ".availability-status",
"sku": "[data-sku]@data-sku",
},
},
)
data = response.json()
print(data[0]["css_extracted"])
# {"product": "Wireless Headphones Pro", "price": "$149.99",
# "stock": "In Stock", "sku": "WHP-2024-BK"}How teams run price monitoring
Four steps from raw URLs to automatic repricing. Each stage feeds the next.
Set up recurring scrapes
Submit your competitor product URLs to Spider's API from a cron job, Lambda function, or any scheduler you already use. Spider renders JavaScript-heavy storefronts and returns structured data every cycle. You define CSS selectors once and reuse them across every run.
Compare and alert
Compare each run's structured JSON against your previous snapshot. When a price drops, a product goes out of stock, or a listing title changes, your pipeline triggers an alert to Slack, your dashboard, or your repricing engine. Spider delivers the data via webhooks as pages finish crawling. You own the comparison logic.
Check regional prices
The same product often costs different amounts depending on the visitor's location. Spider's proxy network covers 199+ countries, so you see the localized storefront and currency your customers actually see. Essential for cross-border sellers and MAP enforcement.
Update your prices automatically
Feed the structured JSON into your repricing tool or internal rules engine. When a competitor undercuts you on a key SKU, your system adjusts before shoppers notice the gap. The faster the loop, the less margin you leave on the table.