# Google Lens Scraper (`gio21/google-lens-scraper`) Actor Reverse image search via Google Lens. Submit any image URL, get visual matches, exact matches, OCR text, and AI descriptions in a single run. Multi-tab support. $0.005 per image — half the price of alternatives. - **URL**: https://apify.com/gio21/google-lens-scraper.md - **Developed by:** [Gio](https://apify.com/gio21) (community) - **Categories:** AI, SEO tools, E-commerce - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $5.00 / 1,000 image searcheds 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## Google Lens Scraper Reverse image search via **Google Lens**, multi-tab, in one run. Submit any public image URL and get back: - **Visual matches** (similar images across the web) - **Exact matches** (the same image on other sites — useful for stolen-photo detection / SEO audit) - **AI Mode** matches + a generated description (when enabled) > Cheaper and simpler than the alternatives. Single $0.005 / image price covers all tabs. ### Why this scraper | Feature | This scraper | borderline/google-lens | zen-studio/google-lens-ocr | |---|---|---|---| | Pricing model | **1 flat event** | 8 separate events | 2 events | | Per-image cost | **$0.005** | $0.001-$0.0065 + $0.01 actor start | $0.002 actor start + $0.00001/result | | Visual + Exact + AI in one run | ✅ | needs separate runs per mode | OCR only | | Image batch (many URLs per run) | ✅ | ✅ | ✅ | | Reliability (paid users) | ✅ | TIMED-OUT 3.5% of last 30d | clean | | Output structure | Flat per image | mode-by-mode | OCR-only | ### What it extracts Per image, one record with: | Field | Description | |---|---| | `imageUrl` | The input image URL | | `vsrid` | Google's visual-search request ID (use to reconstruct tab URLs manually) | | `visualMatches[]` | Array of `{link, thumbnail, title, source}` | | `exactMatches[]` | Array of `{link, thumbnail, title, source}` | | `aiMatches[]` | Array of `{link, thumbnail, title, source}` (when `includeAI` is true) | | `aiSummary` | Free-text AI description / paragraph generated by Google AI Mode | | `scrapedAt` | ISO timestamp | | `error` | Only when Google blocked the image (rare; usually means the URL doesn't allow hotlinking) | ### How to use #### Input | Field | Required | Description | |---|---|---| | `imageUrls` | yes | Array of public image URLs (must allow hotlinking — Wikipedia and CDNs with referer checks won't work). | | `country` | no | Two-letter country code (default `US`). Drives the residential proxy region. | | `language` | no | Two-letter UI language (default `en`). | | `includeAI` | no | Also collect AI Mode tab. Default `true`. | | `maxItems` | no | Cap on number of images processed (defaults to all). | #### Example ```json { "imageUrls": [ "https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png", "https://cdn.shopify.com/s/files/1/0001/0001/products/example.jpg" ], "country": "US", "language": "en" } ```` ### Pricing **$0.005 per image** (pay-per-event). No actor-start fee. No per-result micro charges. | Volume | Cost | |---|---| | 100 images | $0.50 | | 1,000 images | $5.00 | | 10,000 images | $50.00 | Free Apify plan: limited to 5 images per run. ### How it works - Submits the image URL to `lens.google.com/uploadbyurl?url=...` to obtain the Google `vsrid` token. - Navigates each Lens tab (`udm=26` visual, `udm=48` exact, `udm=50` AI mode) in the same Playwright session. - Parses match cards directly from the rendered DOM — Google's HTML is unstable so we look for any anchor that hosts a thumbnail, then collect `{link, thumbnail, title, source}`. - Uses Apify RESIDENTIAL proxy in the target country to avoid Google's per-IP rate limit on Lens uploads. - Charges `image-searched` once per processed image, regardless of how many tabs returned data. # Actor input Schema ## `imageUrls` (type: `array`): Public URLs of images to reverse-search on Google Lens. Each URL must be hot-link-able (no Wikipedia/CDN with referer checks). ## `country` (type: `string`): Two-letter country code (e.g. US, GB, DE, BR). Drives the residential proxy region and the Google Lens locale. ## `language` (type: `string`): Two-letter language code (e.g. en, pt, es, de). Drives the Google UI language and OCR/AI text language. ## `includeAI` (type: `boolean`): Also collect the AI Mode tab (generated description + AI-curated matches). Doubles tab fetches per image but no extra charge. ## `useProxy` (type: `boolean`): By default the actor runs from the Apify Cloud IP which Google Lens accepts. Only enable this if you start seeing IP blocks. ## `maxItems` (type: `integer`): Cap on number of images processed (default = all in imageUrls). ## Actor input object example ```json { "imageUrls": [ "https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png" ], "country": "US", "language": "en", "includeAI": true, "useProxy": false, "maxItems": 5 } ``` # Actor output Schema ## `overview` (type: `string`): One record per image, including visual / exact / AI matches and the AI summary text. # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "imageUrls": [ "https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png" ], "country": "US", "language": "en", "maxItems": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("gio21/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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "imageUrls": ["https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png"], "country": "US", "language": "en", "maxItems": 5, } # Run the Actor and wait for it to finish run = client.actor("gio21/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 '{ "imageUrls": [ "https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png" ], "country": "US", "language": "en", "maxItems": 5 }' | apify call gio21/google-lens-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gio21/google-lens-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Lens Scraper", "description": "Reverse image search via Google Lens. Submit any image URL, get visual matches, exact matches, OCR text, and AI descriptions in a single run. Multi-tab support. $0.005 per image — half the price of alternatives.", "version": "0.0", "x-build-id": "CPna94sbrTxsJULzw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gio21~google-lens-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gio21-google-lens-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gio21~google-lens-scraper/runs": { "post": { "operationId": "runs-sync-gio21-google-lens-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gio21~google-lens-scraper/run-sync": { "post": { "operationId": "run-sync-gio21-google-lens-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "imageUrls" ], "properties": { "imageUrls": { "title": "Image URLs", "type": "array", "description": "Public URLs of images to reverse-search on Google Lens. Each URL must be hot-link-able (no Wikipedia/CDN with referer checks).", "items": { "type": "string" } }, "country": { "title": "Country (gl)", "type": "string", "description": "Two-letter country code (e.g. US, GB, DE, BR). Drives the residential proxy region and the Google Lens locale.", "default": "US" }, "language": { "title": "Language (hl)", "type": "string", "description": "Two-letter language code (e.g. en, pt, es, de). Drives the Google UI language and OCR/AI text language.", "default": "en" }, "includeAI": { "title": "Include AI Mode tab", "type": "boolean", "description": "Also collect the AI Mode tab (generated description + AI-curated matches). Doubles tab fetches per image but no extra charge.", "default": true }, "useProxy": { "title": "Use Apify RESIDENTIAL proxy", "type": "boolean", "description": "By default the actor runs from the Apify Cloud IP which Google Lens accepts. Only enable this if you start seeing IP blocks.", "default": false }, "maxItems": { "title": "Max images", "type": "integer", "description": "Cap on number of images processed (default = all in imageUrls)." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```