Google Lens API: Scrape Visual Search Data

Google Lens API allows you to extract related data from Google Lens. The output data will have title, source, link, and thumbnail in structured JSON.

GET / google_lens
"lens_results": [
    {
        "position": 1,
        "title": "\"The Rocky Horror Picture Show\" 35th Anniversary...",
        "source": "imdb.com",
        "source_favicon": "https://encrypted-tbn2.gstatic.com/favicon-tbn?q=...",
        "link": "https://www.imdb.com/media/rm2580580096/rg4018969088",
        "thumbnail": "https://encrypted-tbn0.gstatic.com/images?q=tbn:..."
    }
]

How It Works Behind the API

</> Get
import requests

api_key = "5eaa61a6e562fc52fe763tr516e4653"
url = "https://api.scrapingdog.com/google_lens"

params = {
    "api_key": api_key,
    "url": "https://lens.google.com/uploadbyurl?url=https://i.imgur.com/HBrB8p0.png"
}

response = requests.get(url, params=params)

if response.status_code == 200:
    data = response.json()
    print(data)
else:
    print(f"Request failed with status code: {response.status_code}")

Google Lens API Response (Structured JSON Data)

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  • Visual Matches

    lens_resultsposition
  • Match Title

    title
  • Origin Source

    sourcesource_favicon
  • Destination Link

    link
  • Image Thumbnail

    thumbnail
  • Result Ranking

    positionlens_results

Scrapingdog vs Manual Google Lens Scraping

Without a Google Lens API

Lens has no public API and runs on a JavaScript-rendered canvas, making DIY reverse-image scraping brittle and hard to scale.

  • No Endpoint, Only an Image-Upload Flow

    Lens has no query string. You must wrap each image in an uploadbyurl link and wait for the match grid to render.

  • Expiring gstatic Thumbnails & Favicons

    Thumbnail and favicon URLs use gstatic CDNs with short-lived tokens, so scraped references rot unless you re-host them.

  • Reconstructing Visual-Match Ordering

    Lens ranks matches by visual similarity in lazy-loaded tiles, so pulling position, title, source, and link is painstaking.

  • Bot Detection on the Visual Canvas

    Repeated lookups trip reCAPTCHA and IP bans fast, so a reverse-image pipeline needs constant proxy rotation and fixes.

With Scrapingdog Google Lens API

One API call handles proxies, CAPTCHA, rendering, parsing, and scaling, so you focus on your visual data.

  • Enriched Visual Insights

    Get deeper insights from images by automatically detecting and analyzing objects, scenes, and elements.

  • Enhanced Search Capabilities

    Supercharge your applications with visual search functionality in a single structured response.

  • Operational Efficiency

    Save time by automating large-scale image data extraction with stable performance and no maintenance.

  • Seamless Integration

    Integrate image and text extraction directly into your applications with easy-to-use JSON responses.

Google Lens API Features That Make Scraping Easy

  • Rotating Proxy Network

    Our API includes a built-in rotating proxy system that automatically changes IP addresses for every Google Lens request.

  • Automatic CAPTCHA

    Scrapingdog automatically bypasses the CAPTCHA and anti-bot protection Google uses, so requests run without blocks.

  • Structured JSON Responses

    All important fields like title, source, link, and thumbnail are ready to use without complex parsing.

  • Real-Time Visual Data

    Our API ensures you always receive the latest Google Lens visual matches and image results instantly.

  • High Success Rate API

    Our powerful infrastructure is designed to deliver reliable results every time, with optimized proxy rotation.

  • Fast Response Time

    Receive Google Lens results in just a few seconds with our high-performance visual scraping API.

What you can build with a Google Lens Scraper API

  • Find Products Easily

    Power image-based product search for shopping platforms, letting users discover items by uploading a photo instead of typing a query.

  • Content Moderation

    Detect inappropriate content, logos, and watermarks at scale by matching user-uploaded images against Google Lens visual results.

  • Improve Marketing Insights

    Analyze trends in user-uploaded images to understand what your audience is searching for and refine your campaigns.

  • Add Visual Data to AI Models

    Enhance visual recognition systems by feeding structured Google Lens match data into your AI and machine learning pipelines.

  • Organize Real Estate Images

    Classify and label property photos automatically using visual search results to keep large image libraries organized.

  • Save Historical Images

    Extract and organize archival records and historical imagery by collecting visual matches and their sources.

Built for teams of every size and background

  • Visual Search Builders
  • E-commerce & Marketplace Teams
  • Product-Match Engineers
  • Brand Protection Teams
  • Counterfeit Investigators
  • Computer Vision / ML Engineers
  • Image Dataset Curators
  • OSINT & Fact-Checking Journalists
  • Content Moderation Teams
  • Reverse-Image Researchers
  • Resellers & Arbitrage Sellers
  • Real Estate Image Teams

Get Started with Our Google Lens Scraper API in Minutes

  1. 1

    Create free account

    Sign up and get free credits to start testing the Google Lens API.

  2. 2

    Get Your API Key

    Access your unique API key from the dashboard and use it to scrape visual search data.

  3. 3

    Pass an Image URL

    Wrap your image in an uploadbyurl link and send it as the url param.

  4. 4

    Get Visual Matches as JSON

    Receive a clean lens_results array with position, title, source, link, and thumbnail for each match.

Transparent & Simple Pricing

Start your web scraping journey with 200 free credits. Test our service and upgrade to one of the plans below. Cancel anytime.

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  • I got the free trial and in less than a minute I already integrated with their API.

    Cara Damiano

    United States

  • I love how you can use it to scrape data from Google.

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    Norway

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Frequently Asked Questions

  • At Scrapingdog, we have created a dedicated API for it, you can test it for free with 200 credits.

  • Unfortunately, Google doesn't have an official Lens API. However, you can use 3rd party providers like Scrapingdog.

  • Of course, you can scrape it using any programming language. However, to scale this process, you need an API.

  • Yes, Scrapingdog provides dedicated APIs for Google Images, Google Scholar, and Google Search, among others.

  • Each request consumes credits based on the API used. For example, the Google Search API costs 5 credits per request.

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