Google Products Scraper — Detail, Offers, Variants

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What does Google Products Scraper do?

Fetch deep Google Shopping product details via Google's immersive product page (/async/oapv) — title, brand, price, rating, review count, images, specs, categories — plus optional merchant offers and size / colour variants.

Why use Google Products Scraper?

• Deep product detail. Full spec table, all images, categories — what Google surfaces when a tile is clicked.
• Merchant offers. Optional include_offers fetches the full competing-merchants price list.
• Size + colour variants. Optional include_variants fetches the variant matrix.
• Batch input. One or many gpcids per run — no separate task per product.
• Pair with Shopping. Pipe gpcids from google-shopping-scraper for end-to-end product enrichment.

What data can Google Products Scraper extract?

How to scrape Google Shopping (product detail)

1. Click Try for free.
2. Paste one or many gpcids into Product IDs (comma-separated).
3. Optional: q (original query), gl / hl.
4. Toggle include_offers and/or include_variants for deeper data.
5. Click Start — products stream into the dataset.

How much will it cost?

$0.01 per product detail (≈ $10 per 1,000 products). include_offers / include_variants each add one sub-request, roughly doubling the per-product cost. Base = $0.01; with all toggles = ≈ $0.03.

Competitor benchmark

Input

Configure the run in the Input tab above, or pass a JSON object matching the fields below when calling the Actor via the Apify API.

Output

Every successful run streams records into the run's dataset. Download as JSON, CSV, XML, Excel, or HTML from the Dataset tab; consume programmatically via the Apify API or webhooks.

Example record:

{
"product_id":"1234567890123456789",
"title":"Nike Air Max 90 \u2014 Men's",
"brand":"Nike",
"rating":4.6,
"reviews_count":2341,
"price":{
"value":"$120.00",
"currency":"USD",
"extracted":120.0
},
"images":[
"https://encrypted-tbn0.gstatic.com/\u2026"
],
"specs":{
"Color":"White/Black",
"Sole material":"Rubber"
},
"categories":[
"Apparel & Accessories",
"Shoes",
"Athletic Shoes"
],
"offers":[
{
"merchant":"Nike.com",
"price":120.0
},
{
"merchant":"Foot Locker",
"price":115.0
}
],
"variants":[
{
"size":"10",
"color":"White/Black"
}
]
}

Tips / Advanced options

• Batch by 100-500 gpcids per run. Memory + Apify compute budget sweet spot.
• include_offers is great for price comparison. See every merchant selling the same SKU, ranked by price.
• Not-found products are stamped, not hidden. A {status: empty, reason: not_found, product_id: …} record per miss.
• Dedupe by product_id. gpcids are stable across runs — perfect primary key.

FAQ, Disclaimers, Support

What's a gpcid?

Google Shopping's product ID. Surfaced as gpcid on each tile returned by google-shopping-scraper.

Can I pass an ASIN or SKU instead?

No — gpcid is Google's own ID. Run Shopping search first, collect the gpcid, then feed it here.

Why is the price an object?

extracted is the numeric (cents-safe) value, value is the formatted string, currency is the ISO code. Use extracted for filtering/analysis.

What's the difference between offers and variants?

offers = different merchants selling the same product. variants = size / colour / configuration options of the same product.

Disclaimer

This Actor scrapes public Google data only. You're responsible for compliance with Google's Terms of Service and any applicable data-protection laws (GDPR, CCPA, etc.) in your jurisdiction. ScrapeBadger does not store the scraped results — they are delivered directly to your Apify dataset.

Support

Something not working? Open a ticket in the Issues tab above — we triage within one business day. Full API reference: docs.scrapebadger.com.

Related Actors

• google-shopping-scraper — Source gpcids via Shopping search

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