Google Shopping Immersive
Pricing
from $3.00 / 1,000 proxy units
Google Shopping Immersive
Scrapes basic product details from a Google Shopping immersive product URL containing prds.
Pricing
from $3.00 / 1,000 proxy units
Rating
0.0
(0)
Developer
Abinash Sonowal
Maintained by CommunityActor stats
1
Bookmarked
3
Total users
2
Monthly active users
a month ago
Last modified
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Google Shopping Product Details & Sellers Scraper
Extract rich product data, specifications, and all seller pricing from Google Shopping immersive pages.
Extract deep product details directly from a Google Shopping product page. Get the title, rating, specs, feature attributes, competing products, and most importantly, per-seller buying options (price, delivery, stock status, direct links). Runs on Apify via residential proxies; no browser required.
π Why use this Scraper?
- Competitor Pricing: Extract every seller offering a specific product to see exactly who is charging what.
- Product Intelligence: Scrape rich product metadata, features, and specifications without manually building catalogs.
- Stock & Delivery Tracking: Monitor if competitors have items "In stock" and their estimated delivery times.
- Market Research: Discover what related or competing products Google is recommending.
π― Features
- Deep Extraction: Pulls full specs (RAM, Storage, Color, etc.) and product variants.
- Seller-Level Data: Get the exact price, shipping cost, and direct deep-link to the retailer's actual product page.
- Bypass Protections: Powered by Apify Residential Proxies to slip past Google's defenses.
- Clean Data Export: Download your data in JSON, CSV, Excel, XML, or HTML formats.
- Easy Integrations: Connects directly with Make, Zapier, Google Sheets, or your own API.
π Input Configuration
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
url | string | yes | β | Google Shopping immersive product URL (must contain a prds parameter) |
country | string | in | 2-letter country code for localized results e.g. us, gb, de |
Example input (JSON):
{"url": "https://www.google.com/search?prds=eto:12345,pid:12345&q=iphone+16","country": "in"}
How to get the URL: Open Google Shopping, click on any product to open its immersive panel, then copy the full URL from the browser address bar. It will contain a
prds=parameter.
π Sample Output (JSON)
The actor outputs an incredibly detailed dataset containing specs and seller offers:
{"input_url": "https://www.google.com/search?prds=eto:...&q=iphone+16","final_url": "https://www.google.com/search?prds=eto:...&ibp=oshop&hl=en&gl=in&udm=28","title": "Apple iPhone 16 256GB","description": "The latest iPhone with A18 chip and 48MP camera","images": ["https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcR..."],"rating": 4.6,"review_count": 11000,"features": {"Storage": "256 GB","Color": "Black","Model": "iPhone 16"},"filters": [{"category": "Colour","options": [{ "name": "Black", "selected": true, "image": null }]}],"buying_options": [{"merchant": "Flipkart","merchant_id": "1234","offer_id": "abc","title": "Apple iPhone 16 256GB","price": "βΉ79,900","currency": "INR","old_price": "βΉ89,900","target_url": "https://www.flipkart.com/...","status": "In stock","delivery": "Free delivery by Tomorrow","offer_rating": 4.5,"seller_logo": null}],"competing_products": [{"product_id": "...","text": "Apple iPhone 15 128GB | βΉ59,900 | Flipkart"}]}
π‘ Pro Tips & Usage Notes
- Empty Attributes:
featureswill be an empty object{}if Google doesn't list spec attributes for the product.ratingandreview_countwill benullif none exist. - Location Accuracy: Set the
countryto match your target market for accurate local pricing, sellers, and availability. - Debugging: If Google returns a sparse/static page (no buying options or features), the raw HTML is saved as a
sparse-response.htmlkeyβvalue store entry so you can investigate why.
π Proxy Requirements
This actor uses residential proxies (RESIDENTIAL group) to reliably fetch Google Shopping immersive pages. Ensure residential proxy access is enabled on your Apify account.
πΈ Cost
Typically completes in under 10 seconds per run. One run consumes approximately $0.003 per run.
