# Google Lens Scraper (`prodiger/google-lens-scraper`) Actor Analyze images via Google Lens — OCR, translate-OCR, AI Mode, exact match, visual match, product search, homework help, and general search. No API key required. - **URL**: https://apify.com/prodiger/google-lens-scraper.md - **Developed by:** [Arnas](https://apify.com/prodiger) (community) - **Categories:** Other, AI, Agents - **Stats:** 0 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event + usage This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Actor > **Status: in active development.** Scaffold + input layer + pricing wrapper + Apify schemas are in place. Per-mode Lens clients (Flow A protobuf, Flow B HTML scraping, AI Mode) ship after the reverse-engineering spike (`scripts/google-lens-baseline-spike.ts`) confirms endpoint reality. A Google Lens scraper covering all 8 search modes — OCR, translate-OCR, AI Mode, exact match, visual match, product search, homework help, and general search — calling Google Lens's internal HTTP endpoints directly. No third-party API. No API key required. ### What does Google Lens Actor do? (Final copy lands in U13 once per-mode outputs are validated. Mirrors the `borderline/google-lens` listing.) This actor analyzes images via [Google Lens](https://lens.google.com) and returns structured data: - **Text Extraction (OCR)** — extract text segments with bounding-box coordinates - **Translate & Extract Text** — translate extracted text into any supported language with positioned word objects - **AI Analysis** — ask questions about an image and get AI-powered answers - **Exact Match** — find exact image matches across the web - **Visual Match** — find visually similar images - **Product Search** — identify and find products in an image - **Homework Help** — get educational assistance for homework images - **General Search** — get all search results in one call ### Why use Google Lens Actor? (U13) ### How to use Google Lens Actor (U13 — numbered tutorial) ### Input Input fields (full schema in the Input tab): - `searchTypes` — array of one or more of: `all`, `ai-mode`, `ocr`, `translate-ocr`, `exact-match`, `visual-match`, `products`, `homework`. Required. - `imageUrls` — array of image URLs. Required. - `aiModeQuestions` — questions to ask in AI Mode (required when `ai-mode` is selected). - `translateLanguage` — target language for translate-OCR (default `"en"`). - `language` — search-result language (default `"en"`). - `proxyConfiguration` — Apify proxy. Default RESIDENTIAL. ### Output (U13 — JSON examples per mode) You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. ### Pricing / Cost estimation Pay-per-event, flat across all subscription tiers: | Event (display title) | Event key | Price | Fires once per … | |---|---|---|---| | 🤖 AI Analysis | `ai-mode` | $6.50 / 1,000 events | image × `ai-mode` | | 🌐 Translate & Extract Text | `translate-ocr` | $3.50 / 1,000 events | image × `translate-ocr` | | 📝 Text Extraction | `ocr` | $2.50 / 1,000 events | image × `ocr` | | 🎯 Exact Match | `exact-match` | $1.50 / 1,000 events | image × `exact-match` | | 👁️ Visual Match | `visual-match` | $1.50 / 1,000 events | image × `visual-match` | | 🛍️ Product Search | `products` | $1.50 / 1,000 events | image × `products` | | 📚 Homework Help | `homework` | $1.50 / 1,000 events | image × `homework` | | 🔍 General Search | `all` | $1.00 / 1,000 events | image × `all` | | Actor Start | `apify-actor-start` | $0.01 | run start (Apify synthetic) | Charges fire only after the corresponding dataset item is successfully written. Skipped or failed modes do not charge. ### Tips or Advanced options (U13) ### FAQ, disclaimers, and support (U13 — legality disclaimer + AI Mode availability + link to Issues) # Actor input Schema ## `searchTypes` (type: `array`): Which Google Lens search modes to run for each image. Charges per (image × mode) — see Pricing tab. ## `imageUrls` (type: `array`): Public image URLs to analyze. HTTPS or HTTP only. Each URL is processed once for every selected search type. ## `aiModeQuestions` (type: `array`): Questions to ask about the image when 'ai-mode' is selected. Each question fires one ai-analysis charge per image. Required when 'ai-mode' is in searchTypes; ignored otherwise. ## `translateLanguage` (type: `string`): Target language code for 'translate-ocr' results (e.g. 'en', 'es', 'fr', 'de', 'ja'). BCP-47 / ISO 639-1. ## `language` (type: `string`): Language code for search-result text (e.g. 'en', 'es', 'fr'). Affects 'all', 'products', 'homework', and other modes that return localized results. ## `proxyConfiguration` (type: `object`): Apify proxy. RESIDENTIAL is the default — Google's anti-bot measures around Lens are well-documented; DATACENTER is unreliable at scale and will likely fail on sustained runs. ## Actor input object example ```json { "searchTypes": [ "all" ], "imageUrls": [ { "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/8/87/Google_Lens_logo.svg/240px-Google_Lens_logo.svg.png" } ], "aiModeQuestions": [], "translateLanguage": "en", "language": "en", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ```` # Actor output Schema ## `dataset` (type: `string`): Per-(image × mode) results from Google Lens. Use the dataset views (all, ai-mode, ocr, translate-ocr, exact-match, visual-match, products, homework, globalErrors) to filter by search type. # 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": [ { "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/8/87/Google_Lens_logo.svg/240px-Google_Lens_logo.svg.png" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("prodiger/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": [{ "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/8/87/Google_Lens_logo.svg/240px-Google_Lens_logo.svg.png" }], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("prodiger/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": [ { "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/8/87/Google_Lens_logo.svg/240px-Google_Lens_logo.svg.png" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call prodiger/google-lens-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=prodiger/google-lens-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Lens Scraper", "description": "Analyze images via Google Lens — OCR, translate-OCR, AI Mode, exact match, visual match, product search, homework help, and general search. No API key required.", "version": "0.1", "x-build-id": "aGohfYuLdThygufXh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/prodiger~google-lens-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-prodiger-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/prodiger~google-lens-scraper/runs": { "post": { "operationId": "runs-sync-prodiger-google-lens-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/prodiger~google-lens-scraper/run-sync": { "post": { "operationId": "run-sync-prodiger-google-lens-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "searchTypes" ], "properties": { "searchTypes": { "title": "Search types", "uniqueItems": true, "type": "array", "description": "Which Google Lens search modes to run for each image. Charges per (image × mode) — see Pricing tab.", "items": { "type": "string", "enum": [ "all", "ai-mode", "ocr", "translate-ocr", "exact-match", "visual-match", "products", "homework" ], "enumTitles": [ "All — General search results", "AI Mode — AI-powered Q&A about the image", "OCR — Text extraction with bounding boxes", "Translate OCR — Extract and translate text", "Exact Match — Find exact image matches", "Visual Match — Find visually similar images", "Products — Find products in the image", "Homework — Educational help" ] }, "default": [ "all" ] }, "imageUrls": { "title": "Image URLs", "type": "array", "description": "Public image URLs to analyze. HTTPS or HTTP only. Each URL is processed once for every selected search type.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "aiModeQuestions": { "title": "AI Mode questions", "type": "array", "description": "Questions to ask about the image when 'ai-mode' is selected. Each question fires one ai-analysis charge per image. Required when 'ai-mode' is in searchTypes; ignored otherwise.", "default": [], "items": { "type": "string" } }, "translateLanguage": { "title": "Translation target language", "type": "string", "description": "Target language code for 'translate-ocr' results (e.g. 'en', 'es', 'fr', 'de', 'ja'). BCP-47 / ISO 639-1.", "default": "en" }, "language": { "title": "Search-result language", "type": "string", "description": "Language code for search-result text (e.g. 'en', 'es', 'fr'). Affects 'all', 'products', 'homework', and other modes that return localized results.", "default": "en" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy. RESIDENTIAL is the default — Google's anti-bot measures around Lens are well-documented; DATACENTER is unreliable at scale and will likely fail on sustained runs.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```