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G2
4.7/5
Excellent
Trustpilot

Turn Google Shopping
into structured data

Pull Google Shopping results for any product search: titles, prices, merchants, ratings, delivery details, and product links, ready for price monitoring and market research.

01-Integration

Integrate Google Shopping API your way

Connect to Scrape.ly using Python, JavaScript, HTTP, cURL, OpenAPI, or MCP and start extracting Google Shopping data in minutes.

from scrapely_client import ScrapelyClient
client = ScrapelyClient('YOUR_TOKEN', api_url='https://api.scrape.ly')
run = client.actor('shelfbright/google-shopping-scraper').call(
run_input={
'queries': ['wireless mouse'],
'countryCode': 'us',
'maxItems': 10,
}
)
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item)
02-Input & Output

Send a product search, get clean shopping data

Pass search queries, countries, and locations into Scrape.ly. Get structured outputs with product names and prices, merchants, ratings and review counts, delivery and return details, and sponsored flags, and more.

Input
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{
 "queries": [
  "wireless mouse"
 ],
 "countryCode": "us",
 "maxItems": 10
}
Output
1 2 3 4 5 6 7 8 9
{
 "productName": "Logitech M220 Silent Wireless Mouse",
 "price": "$13.83",
 "merchantName": "Walmart",
 "reviewsScore": "4.8",
 "reviewsCount": "46000",
 "positionOnSearchPage": 1,
 "searchKeyword": "wireless mouse"
}
03-How it works

Start extracting Google Shopping data in four simple steps

Scrape.ly keeps the setup simple so you can move from signup to live Google Shopping data without wasting time on scraping infrastructure.

Step 1

Create your Scrape.ly account

Create your account and get access to ready-made APIs, scrapers, and automation tools.

Step 2

Get your Scrape.ly API token

Copy your API token from the Scrape.ly dashboard and use it to authenticate your requests.

Step 3

Connect Google Shopping API

Choose Python, JavaScript, HTTP, or MCP and connect Scrape.ly to your app or workflow.

Step 4

Fetch Google Shopping data

Send your search queries, countries, and locations, then receive clean structured data ready for analysis.

04-Why Scrape.ly

Everything you need to extract data reliably

Scrape.ly gives you ready-made APIs, proxy support, monitoring, exports, integrations, and scalable infrastructure in one platform.

Never Get Blocked

Use built-in proxy support to reduce blocks, rate limits, and failed requests.

Export Any Format

Get results in JSON, CSV, Excel, XML, HTML table, RSS, or other workflow-friendly formats.

Monitor Every Run

Track scraper status, performance, failures, retries, and outputs from one dashboard.

Built-In Integrations

Connect with webhooks, APIs, automation tools, cloud apps, and internal systems.

Scalable Infrastructure

Run small tests or high-volume extraction jobs without rebuilding your scraping stack.

Developer-Friendly

Use clean APIs, SDKs, docs, examples, and structured outputs built for real workflows.

05-AI-Ready Data

FeedGoogle Shoppingdata into your tools instantly

Connect Scrape.ly with your apps, dashboards, sheets, agents, and automation workflows to turn Google Shopping data into action.

06-Explore APIs

More Google Shopping APIs on Scrape.ly

Browse ready-made Google Shopping scrapers and APIs available inside Scrape.ly and choose the one that fits your workflow.

//07-FAQ\\

Common questions about Google Shopping API

Quick answers about using Scrape.ly's Google Shopping API, available data, setup, and legal usage.

Got more questions?Reach out to us


Official APIs, where they exist, usually need approval, keys, or paid tiers and limit which public data you can pull. Scrape.ly's Google Shopping API collects the public data shown on Google Shopping and returns it as structured JSON, with no approval process.

G2
4.7/5
Excellent
Trustpilot

The internet is full of data.
Start owning yours.

Scrape.ly gives you the infrastructure, the tooling, and the team to extract, process, and operationalize web data at any scale. Setup takes minutes. The advantage lasts forever.

No credit card. No setup calls.