E-commerce: products, prices and reviews

Retail sites are a top source of web data. This page covers the jobs behind price tracking, catalog building and competitor research on public product pages, using Amazon as the worked example. The same code works on the other retailers Zenrows has prepared for Extract, such as Walmart, eBay and Best Buy. Uses: Fetch with Adaptive Stealth Mode (mode=auto), Extract (extract=auto, extract_fields), proxy_country, Batch

Ask your AI agent

With the Zenrows MCP server connected to Claude, Cursor or any MCP client, paste this prompt. Your agent picks the right Zenrows tools and settings on its own.

Use Zenrows to get the product title, current price, list price and stock status of
https://www.amazon.com/dp/B08Z6X4NK3 as a shopper in the US sees it.

To track a whole catalog, give the agent the full list of product URLs and ask for the same fields in one batch.

Get a product’s price and stock

Send the product URL with extract=auto. Zenrows returns the page’s fields as JSON in parsed, and extract_fields keeps only the groups you read. proxy_country=us shows the page a US shopper sees, with US prices and delivery.

import json
import requests

params = {
    "apikey": "YOUR_ZENROWS_API_KEY",
    "url": "https://www.amazon.com/dp/B08Z6X4NK3",
    "mode": "auto",
    "proxy_country": "us",
    "extract": "auto",
    "extract_fields": "product.title,product.asin,pricing,availability.status",
}

response = requests.get("https://api.zenrows.com/v1/", params=params, timeout=180)
response.raise_for_status()

product = response.json()["parsed"]
print(json.dumps(product, indent=2))

const params = new URLSearchParams({
  apikey: "YOUR_ZENROWS_API_KEY",
  url: "https://www.amazon.com/dp/B08Z6X4NK3",
  mode: "auto",
  proxy_country: "us",
  extract: "auto",
  extract_fields: "product.title,product.asin,pricing,availability.status",
});

const response = await fetch(`https://api.zenrows.com/v1/?${params}`, {
  signal: AbortSignal.timeout(180_000),
});
if (!response.ok) throw new Error(`${response.status}: ${await response.text()}`);

const { parsed } = await response.json();
console.log(JSON.stringify(parsed, null, 2));

curl "https://api.zenrows.com/v1/?apikey=YOUR_ZENROWS_API_KEY&url=https%3A%2F%2Fwww.amazon.com%2Fdp%2FB08Z6X4NK3&mode=auto&proxy_country=us&extract=auto&extract_fields=product.title%2Cproduct.asin%2Cpricing%2Cavailability.status"

Example output

{
  "availability": {
    "status": "in_stock"
  },
  "pricing": {
    "currency": "$",
    "current_price": 84,
    "deal_badge": null,
    "discount_percent": null,
    "list_price": 89.99
  },
  "product": {
    "asin": "B08Z6X4NK3",
    "title": "Logitech G413 SE Full-Size Mechanical Gaming Keyboard - Black"
  }
}

Drop extract_fields to get every field the page provides. On Amazon product pages that includes ratings_summary (average rating and star breakdown), review_insights, feature_bullets, technical_specs and variations.

Field names come from each website, and pages of different kinds on one site can carry different groups. Send one request without extract_fields, read the names in parsed, then pin the ones you need.

Turn a search page into product URLs

Search and category pages parse too. On Amazon, parsed.results holds one entry per listing with its ASIN, title, price and rating, and parsed.pagination holds the next page. Build product URLs from the ASINs and skip sponsored slots:

Python (Requests)

import requests

params = {
    "apikey": "YOUR_ZENROWS_API_KEY",
    "url": "https://www.amazon.com/s?k=mechanical+keyboard",
    "mode": "auto",
    "proxy_country": "us",
    "extract": "auto",
    "extract_fields": "results.asin,results.title,results.price,results.is_sponsored,pagination.next_page_url",
}

response = requests.get("https://api.zenrows.com/v1/", params=params, timeout=180)
response.raise_for_status()
parsed = response.json()["parsed"]

product_urls = [
    f"https://www.amazon.com/dp/{item['asin']}"
    for item in parsed["results"]
    if item.get("asin") and not item.get("is_sponsored")
]
print(len(product_urls), "product URLs")
print("\n".join(product_urls[:5]))
print("Next page:", parsed["pagination"]["next_page_url"])

16 product URLs
https://www.amazon.com/dp/B08Z6X4NK3
https://www.amazon.com/dp/B0D14N2QZF
https://www.amazon.com/dp/B0HDC5TFDP
https://www.amazon.com/dp/B0DRFGNWV1
https://www.amazon.com/dp/B09LK1P1RD
Next page: /s?k=mechanical+keyboard&page=2&xpid=Ze0woZxmPTwql&qid=1792018194&ref=sr_pg_1

Prefix next_page_url with https://www.amazon.com to request the next page. To collect every product link on a smaller store, let Crawl walk the catalog for you.

Compare prices across countries

Retailers price by storefront and by shopper location. Request each country’s storefront with a matching proxy_country and compare:

Python (Requests)

import requests

storefronts = {
    "us": "https://www.amazon.com/s?k=logitech+g413",
    "gb": "https://www.amazon.co.uk/s?k=logitech+g413",
}

for country, url in storefronts.items():
    params = {
        "apikey": "YOUR_ZENROWS_API_KEY",
        "url": url,
        "mode": "auto",
        "proxy_country": country,
        "extract": "auto",
        "extract_fields": "results.title,results.price",
    }
    response = requests.get("https://api.zenrows.com/v1/", params=params, timeout=180)
    response.raise_for_status()
    first = response.json()["parsed"]["results"][0]
    print(country, first["price"], first["title"][:50])

us 89.99 Logitech G413 SE Full-Size Mechanical Gaming Keybo
gb 59.99 G413 SE Full-Size Mechanical Gaming Keyboard - Bac

Each price is in the storefront’s currency (USD and GBP here). proxy_country takes any ISO 3166-1 alpha-2 code.

Track many products with Batch

For hundreds or thousands of product URLs, submit them as one Batch job. Every task uses the same zenrows_params, and external_id ties each result back to your SKU or ASIN.

Python (Requests)

import time
import requests

API = "https://async.api.zenrows.com/v1"
headers = {"X-API-Key": "YOUR_ZENROWS_API_KEY"}

asins = ["B08Z6X4NK3", "B0D14N2QZF", "B09LK1P1RD"]

job = requests.post(f"{API}/jobs", headers=headers, json={
    "type": "regular",
    "status": "closed",
    "zenrows_params": {
        "mode": "auto",
        "proxy_country": "us",
        "extract": "auto",
        "extract_fields": "product.title,pricing.current_price,availability.status",
    },
    "tasks": [{"url": f"https://www.amazon.com/dp/{a}", "external_id": a} for a in asins],
}, timeout=60).json()
job_id = job["job_id"]

# Wait for the run to finish
while True:
    run = requests.get(f"{API}/jobs/{job_id}", headers=headers, timeout=60).json()["latest_run"]
    if run["status"] in ("completed", "failed", "stopped"):
        break
    time.sleep(10)
print(run["status"], run["stats"])

# Read every successful result
results = requests.get(f"{API}/jobs/{job_id}/results", headers=headers,
                       params={"status": "successful"}, timeout=60).json()
for row in results["results"]:
    parsed = requests.get(row["result_url"], timeout=60).json()["parsed"]
    print(row["external_id"], parsed)

completed {'total': 3, 'completed': 3, 'successful': 3, 'failed': 0, 'spend': {'credits': 30, 'cost': 0.03}}
B09LK1P1RD {'availability': {'status': 'in_stock'}, 'pricing': {'current_price': 179}, 'product': {'title': 'Logitech MX Mechanical Wireless Illuminated Keyboard Tactile - Graphite'}}
B0D14N2QZF {'availability': {'status': 'in_stock'}, 'pricing': {'current_price': 64}, 'product': {'title': 'AULA F75 Pro Wireless Mechanical Keyboard,75% Hot Swappable Custom Keyboard with Knob,RGB Backlit,Pre-lubed Reaper Switches,...'}}
B08Z6X4NK3 {'availability': {'status': 'in_stock'}, 'pricing': {'current_price': 84}, 'product': {'title': 'Logitech G413 SE Full-Size Mechanical Gaming Keyboard - Black'}}

For more than one page of results, follow next_cursor, as shown in Collect your results. To run the same job every day, make it a scheduled job.

Customize it

Change	How
Another retailer	Swap the URL. Check coverage with `GET /v1/extract/domains`, see Extract endpoints
Add a new store to Extract	`POST /v1/extract/prepared-domains` with example URLs, see Getting a domain prepared
Your own fields from your own selectors	`css_extractor={"price":".price"}`, see CSS extractor
Ratings and review highlights	Omit `extract_fields`, or add `ratings_summary,review_insights`
Results pushed to your server	Add a webhook to the Batch job, see Get notified with webhooks
Daily price history	See Build a price monitor

Troubleshooting

pricing is null or availability says the item can’t ship: the request came from a location the store doesn’t deliver to. Add proxy_country for the storefront’s country, for example us for amazon.com.
REQS004 with an “Available fields” list: this kind of page uses different field names. Pick names from the list in the error, or omit extract_fields. See REQS004.
REQS007: this domain is ready to be prepared. Send example URLs to POST /v1/extract/prepared-domains, see REQS007.
Search results include sponsored slots: filter on is_sponsored, as in the search example.

Build a price monitor

Track prices on a schedule and store the history.

Get structured JSON from any page

How extract=auto, extract_fields and prepared domains work.

Scrape a list of URLs

Batch jobs from the API, SDKs and CLI.

Get content as seen from any country

Geotarget any request with proxy_country.

Start Here

Foundations Course

Fetch Recipes

Extract Recipes

Crawl Recipes

Batch Recipes

Browser Recipes

Pipelines

Use Cases

By Surface

Production

E-commerce: products, prices and reviews

Ask your AI agent

Get a product’s price and stock

Example output

Turn a search page into product URLs

Compare prices across countries

Track many products with Batch

Customize it

Troubleshooting

Build a price monitor

Get structured JSON from any page

Scrape a list of URLs

Get content as seen from any country

​Ask your AI agent

​Get a product’s price and stock

​Example output

​Turn a search page into product URLs

​Compare prices across countries

​Track many products with Batch

​Customize it

​Troubleshooting

​Related recipes

Build a price monitor

Get structured JSON from any page

Scrape a list of URLs

Get content as seen from any country

Ask your AI agent

Get a product’s price and stock

Example output

Turn a search page into product URLs

Compare prices across countries

Track many products with Batch

Customize it

Troubleshooting

Related recipes