Google Shopping Scraper
Pricing
from $2.00 / 1,000 shopping results
Google Shopping Scraper
Google Shopping results by keyword: product title, price, previous price, store, rating, and reviews.
Pricing
from $2.00 / 1,000 shopping results
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datacortex
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Google Shopping results by keyword: product title, price, previous price, store, rating, and reviews.
For e-commerce teams who compare prices across stores. Every run tells you plainly what worked and what did not: no silent empty runs.
What you can do with it
- Price comparison: see which store has the lowest price for a product.
- Discount watch: find products with a
listPrice(price drop) for your category. - Retailer coverage: check which stores list your product.
What you get
| Field | What it is | Example |
|---|---|---|
query | The search term that produced this row. | google pixel |
type | product, grid, or error. | grid |
position | 1-based rank in this Actor's list. | 1 |
page | Shopping results page number. | 1 |
title | Product title. | Google Pixel Watch 5 Aluminum Case Active Band |
url | Shopping listing URL. | https://www.google.com/search?ibp=oshop&q=google+pixel&prds=catalogid… |
price | Listed price as a number when present. | 429.99 |
listPrice | Struck-through earlier price when Google shows a discount. | |
currency | ISO currency code when present. | USD |
merchant | Store selling the item, for example Best Buy or Newegg. | Best Buy |
rating | Star rating when present. | 4.8 |
reviews | Review count when present. | 166 |
productId | Google Shopping product ID. | 2069762684932678131 |
productToken | Opaque listing token from the results page, when present. | eyJjYXRhbG9naWQiOiAiNzg5MDU0ODMyMjg4NzE0MTQ4MCIsICJwcm9kdWN0aWQiOiAiM… |
rankOrganic | Position among organic results on the results page. | 1 |
rankOverall | Position among all blocks on the results page, ads included. | 2 |
Examples come from a real run. Every row has every field; a value the page did not show is null, never guessed.
One query on page 1 gave about 50 products in our tests.
How to use it
- Click Try for free (or Start) on this page.
- Enter one search query per line in the first field. The form is prefilled with a working example.
- Optional: set Max results and the other options.
- Click Start. Open the Output tab, or export JSON, CSV, Excel, or HTML.
Example input
{"queries": ["google pixel"],"pages": 1,"maxResults": 3}
Example output
One real row from a run on 17 October 2026 (long values shortened here):
{"query": "google pixel","type": "grid","position": 1,"page": 1,"title": "Google Pixel Watch 5 Aluminum Case Active Band","url": "https://www.google.com/search?ibp=oshop&q=google+pixel&prds=catalogid:7890548322887141480,productid:2069762684932678131,headlineOfferDocid:171312519588865537…","price": 429.99,"listPrice": null,"currency": "USD","merchant": "Best Buy","rating": 4.8,"reviews": 166,"productId": "2069762684932678131","productToken": "eyJjYXRhbG9naWQiOiAiNzg5MDU0ODMyMjg4NzE0MTQ4MCIsICJwcm9kdWN0aWQiOiAiMjA2OTc2MjY4NDkzMjY3ODEzMSIsICJoZWFkbGluZU9mZmVyRG9jaWQiOiAiMTcxMzEyNTE5NTg4ODY1NTM3MTQiL…","rankOrganic": 1,"rankOverall": 2}
Pricing
Pay per result: $2.00 per 1,000 rows, plus $0.001 per run start. No subscription.
| Event | When | Price |
|---|---|---|
| Actor start | Once per run (per GB of memory; the default 256 MB counts as one) | $0.001 |
| Result row | Each row saved to the dataset | $0.002 |
| Example | Rows | Cost |
|---|---|---|
| 10 products | 10 | $0.001 + $0.02 = $0.021 |
| 100 products | 100 | $0.001 + $0.20 = $0.201 |
| 1,000 products | 1,000 | $0.001 + $2.00 = $2.001 |
- Retries after a bot check or a temporary error cost you nothing. You pay only for rows saved.
- An input that fails after all retries saves one error row (one row charge), so you can see what failed and why.
- Set Max total charge per run in the run options. The Actor stops cleanly at that limit and keeps every row saved so far.
What you can count on
- Same columns on every row. Missing values are
null, so spreadsheets and databases never break. - No silent failures. An input that fails gets an error row with
errorCodeand a plain-languageerrorMessage. The other inputs keep running. - A clear run summary. The run status says how many results were saved, how many inputs failed, and why. The same numbers are saved as the
RUN_SUMMARYrecord in the run's key-value store, for automations. - Automatic retries. Bot checks and temporary errors are retried with a fresh request before an input counts as failed.
- Limits respected. Max results and your spending limit stop the run cleanly.
Use it from code, automations, and AI agents
API (returns the rows when the run finishes):
curl -X POST "https://api.apify.com/v2/acts/datacortex~google-shopping-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \-H "Content-Type: application/json" \-d '{"queries": ["google pixel"], "pages": 1, "maxResults": 3}'
Python (pip install apify-client):
from apify_client import ApifyClientclient = ApifyClient("YOUR_API_TOKEN")run = client.actor("datacortex/google-shopping-scraper").call(run_input={"queries": ["google pixel"], "pages": 1, "maxResults": 3})for row in client.dataset(run["defaultDatasetId"]).iterate_items():print(row)
JavaScript (npm install apify-client):
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });const run = await client.actor('datacortex/google-shopping-scraper').call({"queries": ["google pixel"], "pages": 1, "maxResults": 3});const { items } = await client.dataset(run.defaultDatasetId).listItems();
No-code: connect the Actor in Make, Zapier, n8n, or Google Sheets through Apify's integrations, or add a webhook to get notified when a run finishes.
AI agents (MCP): add https://mcp.apify.com?tools=datacortex/google-shopping-scraper to Claude, Cursor, or any MCP client. The agent can call this Actor as a tool with the same input as above.
Limitations
urlopens the Google Shopping product page, not the store page.- Results depend on Location.
FAQ
What does an error row mean?
It marks an input that failed after retries. errorCode is short (blocked, empty_result, not_available, http_404, or invalid_... for a bad ID or URL) and errorMessage says what to do. Remove error rows with a filter on type.
Can I run it on a schedule? Yes. Create a task with your input in Apify Console, then add a schedule (for example every day at 8:00).
Is it legal to collect this data? The Actor reads public pages that anyone can open without logging in. You are responsible for how you use the data, including copyright, personal data rules such as GDPR, and the site's terms. If you are not sure, ask a lawyer.
Related Actors
- Amazon Search Scraper: Amazon search results as clean rows.
- Walmart Search Scraper: Walmart search results by keyword.
- Google Search Scraper: Google search results as rows.
Support
Found a problem or need a field? Open an issue on the Issues tab. Include the run ID and one input that shows the problem. We read every issue.