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Price monitoring

Track competitor prices the moment they shift.

Spider watches product pages on a schedule and returns structured price, stock, and SKU data the moment something changes. JavaScript storefronts, bot-protected stores, and regional currencies included.

Live price feed Live
  • Wireless Headphones Pro $149.99 -$20
  • 4K Action Camera $299.00 +$15
  • Standing Desk Frame $449.95 --
  • Ergonomic Keyboard $89.00 -$11
  • USB-C Hub 10-in-1 $54.99 +$5
  • Noise Cancelling Buds $79.00 -$30
  • Smart Home Speaker $129.99 OOS
7 products · 3 drops · 2 increases · 1 out of stock
01 · Cost predictability

Flat-rate billing on bot-protected stores.

Most providers charge multipliers for bot-protected sites. E-commerce stores are almost always protected, which makes the monthly bill a guessing game. Spider bills on bandwidth and compute at the same rate regardless of how protected the target site is.

Other providers Spider
Pages / month 100,000 100,000
Multiplier 10-25x 1x
Cost / page $0.01-0.04 $0.0006
Monthly bill $1,000-$4,000 ~$60

Estimate based on 100K Chrome-rendered scrapes. See full pricing .

02 · CSS extraction

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 returns clean JSON. Define selectors once, reuse them across every scheduled run.

product name price SKU availability images reviews
price_tracker.py Python
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"}
03 · Workflow

From URL list to automatic repricing.

Four stages. Each one feeds the next.

01 · Schedule

Recurring scrapes

Submit competitor product URLs from a cron job, Lambda, or any scheduler. Spider renders JavaScript-heavy storefronts and returns structured data every cycle. Define CSS selectors once and reuse across runs.

your scheduler batch URLs consistent format
02 · Detect

Compare and alert

Compare each run's structured JSON against the previous snapshot. When a price drops, a product goes out of stock, or a listing title changes, your pipeline triggers Slack, your dashboard, or your repricing engine. Spider delivers data via webhooks as pages finish.

03 · Localize

Regional prices

The same product often costs different amounts depending on visitor location. Spider's proxy network covers 199+ countries, so you see the localized storefront and currency your customers see. Useful for cross-border sellers and MAP enforcement.

04 · Reprice

Update automatically

Feed structured JSON into your repricing tool or rules engine. When a competitor undercuts you on a key SKU, your system adjusts before shoppers notice the gap.

04 · Resources

Keep reading.

Start

Structured product data on your schedule.

Bot-protection bypass included in the base flow. Free balance on sign-up.

spider scrape --css-extraction-map prices.json