# Google Lens Scraper — Reverse Image Search (`scrape.badger/google-lens-scraper`) Actor

Reverse image search at scale via Google Lens: visual matches, exact matches, and shoppable product matches with price chips. Feed any public image URL, get structured JSON — title, source, source\_favicon, thumbnail, price tag, in-stock flag, plus related search chips.

- **URL**: https://apify.com/scrape.badger/google-lens-scraper.md
- **Developed by:** [ScrapeBadger](https://apify.com/scrape.badger) (community)
- **Categories:** AI, E-commerce, Developer tools
- **Stats:** 103 total users, 24 monthly users, 79.1% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $6.00 / 1,000 lens images

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

### What does Google Lens Scraper do?

Reverse image search with [Google Lens](https://lens.google.com). 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?

| Field | Type | Description |
|---|---|---|
| type | string | `visual_match` / `exact_match` / `shopping_match` / `related_search` |
| title | string | Match description |
| link | string | Source page URL |
| source | string | Host website |
| thumbnail | string | Match image URL |
| price | object | Shopping match: `{value, currency, extracted}` |

### 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

| Actor | Author | Price | Notes |
|---|---|---|---|
| zen-studio/google-lens-scraper | zen-studio | ~$7.99 / 1k images | Pay-per-event |
| newyear/google-lens-scraper | newyear | $15 /mo subscription | Deprecated |
| **scrape-badger/google-lens-scraper** | **ScrapeBadger** | **$6 / 1k images** | **25% under zen-studio, no subscription** |

### 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.

| Field | Required | Description |
|---|---|---|
| image\_url | ✅ | Publicly reachable image URL. |
| query | — | Optional text constraint. |
| product | — | Pre-narrow to shopping matches. |
| visual\_matches | — | Default `true`. |
| exact\_matches | — | Default `false` — slower. |
| country / language | — | Defaults `us` / `en`. |

### 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:

```json
[
  {
    "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](https://docs.scrapebadger.com).

#### Related Actors

- [`google-images-scraper`](https://apify.com/scrape-badger/google-images-scraper) — Text-based image search
- [`google-products-scraper`](https://apify.com/scrape-badger/google-products-scraper) — Deep product detail from `gpcid`

#### Powered by

[ScrapeBadger](https://scrapebadger.com) — Google-optimised residential proxy pool + browser-farm fallback, 99.7% uptime, unmetered bandwidth. No CAPTCHAs reach you.

# Actor input Schema

## `image_url` (type: `string`):

Public URL of the image to reverse-search. Example: <b>https://example.com/photo.jpg</b>. Google must be able to fetch it — no auth-gated / private-bucket URLs.

## `query` (type: `string`):

Optional text query to bias Lens towards a specific category (e.g. <b>pizza</b>, <b>sneakers</b>, <b>vintage dress</b>). Optional.

## `product` (type: `boolean`):

When true, Lens biases results toward shoppable product matches — each tile carries a <b>tag</b> (price chip) and <b>in\_stock</b> flag. Perfect for product-identification / reverse-image-to-SKU workflows.

## `visual_matches` (type: `boolean`):

Include the standard <b>Visual matches</b> carousel (pages / sources using the same or a similar image). Default on — matches Google's default Lens bucket.

## `exact_matches` (type: `boolean`):

Restrict results to Google's <b>exact-match</b> bucket (same image, not just similar). Useful for image-copyright / leak detection.

## `country` (type: `string`):

ISO 3166-1 alpha-2 country code (lowercase). Controls which country's Lens results are returned. Example: <b>us</b>, <b>gb</b>, <b>de</b>.

## `language` (type: `string`):

ISO 639-1 language code. Example: <b>en</b>, <b>es</b>, <b>de</b>.

## Actor input object example

```json
{
  "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/4/47/PNG_transparency_demonstration_1.png/280px-PNG_transparency_demonstration_1.png",
  "product": false,
  "visual_matches": true,
  "exact_matches": false,
  "country": "us",
  "language": "en"
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/4/47/PNG_transparency_demonstration_1.png/280px-PNG_transparency_demonstration_1.png"
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrape.badger/google-lens-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/4/47/PNG_transparency_demonstration_1.png/280px-PNG_transparency_demonstration_1.png" }

# Run the Actor and wait for it to finish
run = client.actor("scrape.badger/google-lens-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/4/47/PNG_transparency_demonstration_1.png/280px-PNG_transparency_demonstration_1.png"
}' |
apify call scrape.badger/google-lens-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scrape.badger/google-lens-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/lykgZRORazOQIYzdr/builds/JAAPCwdujnjWGpbPN/openapi.json