Google Lens Scraper — Reverse Image Search

Pricing

Rating

Developer

Actor stats

Categories

Share

What does Google Lens Scraper do?

Reverse image search with Google Lens. Submit an image URL — get back visual matches, exact matches, shopping matches, and related searches.

Why use Google Lens Scraper?

• Visual + exact + shopping matches. Every match type Lens surfaces, tagged visual_match / exact_match / shopping_match.
• Related search chips. Google's suggested follow-up queries, emitted as type: related_search records.
• No Apify image upload needed. Pass a URL — we fetch it.
• Shopping integration. Shopping matches include price, merchant, gpcid (feed into google-products-scraper).
• No CAPTCHAs reach you. Lens's JS challenge is handled by ScrapeBadger's browser farm.

What data can Google Lens Scraper extract?

How to scrape Google Lens

1. Click Try for free.
2. Paste the image URL (must be publicly reachable).
3. Optional: add a text query to constrain results, set country / language.
4. Toggle visual_matches / exact_matches (default: both on).
5. Click Start — matches stream into the dataset.

How much will it cost?

$0.006 per image (≈ $6 per 1,000 images). One call per image. Shopping + visual + related search chips are all included — no extra credits.

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:

[
{
"type":"visual_match",
"title":"Red running shoes \u2014 Nike Pegasus 41",
"link":"https://example.com/shoes",
"source":"example.com",
"thumbnail":"https://encrypted-tbn0.gstatic.com/\u2026"
},
{
"type":"shopping_match",
"title":"Nike Pegasus 41 Men's",
"link":"https://nike.com/\u2026",
"source":"Nike.com",
"thumbnail":"https://\u2026",
"price":{
"value":"$140.00",
"currency":"USD",
"extracted":140.0
}
},
{
"type":"related_search",
"title":"Running shoes for marathons"
}
]

Tips / Advanced options

• Cache your source images. Google's CDN returns 404 if the source URL disappears mid-run. Host on S3 / Cloudflare for reliability.
• Shopping matches ship with gpcid. Pipe them through google-products-scraper for full specs, offers, variants.
• exact_matches is slower. Only enable when you need to track visually identical images across the web (copyright / brand monitoring).
• Related searches are cheap ideation fuel. For SEO content research, related chips often beat autocomplete for breadth.

FAQ, Disclaimers, Support

Does it work with private / auth'd images?

No — Google Lens needs to fetch the image; it must be public.

Can I upload a local file?

Not directly from the Apify input. Host your image on S3 / Cloudflare / imgur and pass the URL.

What's a visual match vs. exact match?

Visual = visually similar (same scene, different angle). Exact = the same image file (copyright / reuse tracking).

How big can the image be?

Google Lens accepts up to ~10 MB per image. Larger images are downscaled server-side.

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-images-scraper — Text-based image search
• google-products-scraper — Deep product detail from gpcid

Powered by

ScrapeBadger — Google-optimised residential proxy pool + browser-farm fallback, 99.7% uptime, unmetered bandwidth. No CAPTCHAs reach you.