# Google Patents Scraper (`api-empire/google-patents-scraper`) Actor ๐Ÿ”Ž Google Patents Scraper (google-patents-scraper) extracts structured patent data from Google Patentsโ€”titles, abstracts, inventors, assignees, CPC, claims, citations, priority dates & PDF links. โš™๏ธ Ideal for IP research, competitive intel & R\&D. Export to CSV/JSON for analysis. ๐Ÿš€ - **URL**: https://apify.com/api-empire/google-patents-scraper.md - **Developed by:** [API Empire](https://apify.com/api-empire) (community) - **Categories:** Developer tools, Automation, Other - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 1,000 results 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 Patents Scraper (Apify Actor) Scrapes **patents.google.com** via the same `xhr/query` and `xhr/result` flows as the standalone script: search pagination, optional enrichment (description, claims, citations, family, CPC/IPC). ### Behaviour - **Default:** requests go **direct** to Google Patents (no proxy). - **On block:** **Datacenter** (Apify `SHADER`) โ†’ **Residential** (`RESIDENTIAL`), up to **3** tries on residential. - **Sticky:** after a successful **datacenter** response, later requests use datacenter; after a successful **residential** response, later requests use residential only. ### Input | Field | Description | |--------|-------------| | `urls` | Optional patent URLs (`โ€ฆ/patent/USโ€ฆ`) and/or search URLs with `?q=โ€ฆ` | | `searchQuery`, `patentNumbers`, filters | Same semantics as Google Patents search | | `maxResults` | Cap results (`0` = unlimited) | | `include*` | Toggle description, claims, citations, family, classifications | | `proxyConfiguration` | Apify Proxy (used when falling back from direct) | You need at least one of: **`searchQuery`**, **`patentNumbers`**, or **`urls`** that yields a query. ### Output Dataset items match the original JSON shape: `patentNumber`, `title`, `abstract`, `inventors`, `assignee`, dates, `classifications`, `url`, `pdfUrl`, `scrapedAt`, `citations`, and optional `fullText`, `patentFamily`. ### Run locally ```bash pip install -r requirements.txt apify run ```` Or with Apify CLI and `INPUT.json` in the default storage folder. ### Legal Public data only; users are responsible for compliance with Google Patentsโ€™ terms and applicable law. ### What are other Google scraping tools? If you want to scrape specific Google data, you can use any of the dedicated scrapers below for faster and more targeted results. | Scraper Name | Scraper Name | |---|---| | [Google Ads Scraper](https://apify.com/api-empire/google-ads-scraper) | [Google Maps Scraper](https://apify.com/api-empire/google-maps-scraper) | | [Google Finance Scraper](https://apify.com/api-empire/google-finance-scraper) | [Google News Scraper](https://apify.com/api-empire/google-news-scraper) | | [Google Flights Scraper](https://apify.com/api-empire/google-flights-scraper) | [Google Play Data Extractor](https://apify.com/api-empire/google-play-data-extractor) | | [Google Hotels Scraper](https://apify.com/api-empire/google-hotels-scraper) | [Google Play Email Scraper](https://apify.com/api-empire/google-play-email-scraper) | | [Google Images Scraper](https://apify.com/api-empire/google-images-scraper) | [Google Play Phone Number Scraper](https://apify.com/api-empire/google-play-phone-number-scraper) | | [Google Maps Email Extractor](https://apify.com/api-empire/google-maps-email-extractor) | [Google Play Store App Search Scraper](https://apify.com/api-empire/google-play-store-app-search-scraper) | | [Google Maps Email Scraper](https://apify.com/api-empire/google-maps-email-scraper) | [Google Play Store Review Scraper](https://apify.com/api-empire/google-play-store-review-scraper) | | [Google Maps Extractor](https://apify.com/api-empire/google-maps-extractor) | [Google Search Autocomplete Scraper](https://apify.com/api-empire/google-search-autocomplete-scraper) | | [Google Maps Phone Number Extractor](https://apify.com/api-empire/google-maps-phone-number-extractor) | [Google Search Results Scraper](https://apify.com/api-empire/google-search-results-scraper) | | [Google Maps Phone Number Scraper](https://apify.com/api-empire/google-maps-phone-number-scraper) | [Google Search Results Serp Scraper](https://apify.com/api-empire/google-search-results-serp-scraper) | | [Google Maps Reviews Scraper](https://apify.com/api-empire/google-maps-reviews-scraper) | [Google Trends Scraper](https://apify.com/api-empire/google-trends-scraper) | # Actor input Schema ## `urls` (type: `array`): โœ… One entry per line: patent URLs, search URLs (q=), or plain keywords (e.g. machine learning). Plain lines are search phrases. All entries OR-merge with the Keywords field. ## `searchQuery` (type: `string`): ๐Ÿ’ก Main keyword search. Works together with URLs: your text is OR-merged with any q= from search URLs and with publication numbers from patent URLs so you get a broad combined result. ## `patentNumbers` (type: `array`): ๐Ÿ“‹ Specific patent IDs. Combined with keywords using OR so you still get broad results when both are set. ## `assignee` (type: `string`): ๐Ÿญ Focus on patents owned by a particular organization. ## `inventor` (type: `string`): ๐Ÿง‘โ€๐Ÿ”ฌ Find patents listing a specific inventor. ## `country` (type: `string`): ๐Ÿ—บ๏ธ Pick a country or office โ€” or **Any** to search everywhere. ## `dateFrom` (type: `string`): โณ Pick a **calendar date** or a **relative** range (e.g. *30 days*, *6 months*). Leave empty for no lower bound. ## `dateTo` (type: `string`): โณ Same as above โ€” absolute or relative. Leave empty for no upper bound. ## `patentType` (type: `string`): ๐Ÿ“‘ Limit to grants, applications, or designs โ€” or **Any** for all types. ## `maxResults` (type: `integer`): ๐ŸŽš๏ธ Cap how many patents to collect. Use **0** for no limit (be mindful of run time). ## `includeFullText` (type: `boolean`): ๐Ÿ“œ Adds the full written description (large text). ## `includeClaims` (type: `boolean`): ๐Ÿ“‹ Adds the patent claims text. ## `includeCitations` (type: `boolean`): โ†ฉ๏ธ Adds backward and forward citation lists where available. ## `includePatentFamily` (type: `boolean`): ๐ŸŒ Adds related publications in the same family. ## `includeClassifications` (type: `boolean`): ๐Ÿงฎ Adds classification codes for analytics and filtering. ## `proxyConfiguration` (type: `object`): ๐Ÿ›Ÿ Optional Apify Proxy settings. Leave default off if you donโ€™t need it. ## Actor input object example ```json { "urls": [ "https://patents.google.com/patent/US12438891B1", "machine learning" ], "searchQuery": "", "patentNumbers": [], "assignee": "", "inventor": "", "country": "ANY", "dateFrom": "", "dateTo": "", "patentType": "ANY", "maxResults": 10, "includeFullText": false, "includeClaims": true, "includeCitations": true, "includePatentFamily": true, "includeClassifications": true, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "urls": [ "https://patents.google.com/patent/US12438891B1", "machine learning" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("api-empire/google-patents-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "urls": [ "https://patents.google.com/patent/US12438891B1", "machine learning", ], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("api-empire/google-patents-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://patents.google.com/patent/US12438891B1", "machine learning" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call api-empire/google-patents-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=api-empire/google-patents-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Patents Scraper", "description": "๐Ÿ”Ž Google Patents Scraper (google-patents-scraper) extracts structured patent data from Google Patentsโ€”titles, abstracts, inventors, assignees, CPC, claims, citations, priority dates & PDF links. โš™๏ธ Ideal for IP research, competitive intel & R&D. Export to CSV/JSON for analysis. ๐Ÿš€", "version": "1.0", "x-build-id": "jFoJ3JOeMDk6mtekV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/api-empire~google-patents-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-api-empire-google-patents-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/api-empire~google-patents-scraper/runs": { "post": { "operationId": "runs-sync-api-empire-google-patents-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/api-empire~google-patents-scraper/run-sync": { "post": { "operationId": "run-sync-api-empire-google-patents-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "urls": { "title": "๐Ÿ”— Patent & search links", "type": "array", "description": "โœ… One entry per line: patent URLs, search URLs (q=), or plain keywords (e.g. machine learning). Plain lines are search phrases. All entries OR-merge with the Keywords field.", "items": { "type": "string" } }, "searchQuery": { "title": "๐Ÿ”ค Keywords", "type": "string", "description": "๐Ÿ’ก Main keyword search. Works together with URLs: your text is OR-merged with any q= from search URLs and with publication numbers from patent URLs so you get a broad combined result.", "default": "" }, "patentNumbers": { "title": "๐Ÿ”ข Publication numbers", "type": "array", "description": "๐Ÿ“‹ Specific patent IDs. Combined with keywords using OR so you still get broad results when both are set.", "default": [], "items": { "type": "string" } }, "assignee": { "title": "๐Ÿข Assignee", "type": "string", "description": "๐Ÿญ Focus on patents owned by a particular organization.", "default": "" }, "inventor": { "title": "๐Ÿ‘ค Inventor", "type": "string", "description": "๐Ÿง‘โ€๐Ÿ”ฌ Find patents listing a specific inventor.", "default": "" }, "country": { "title": "๐ŸŒ Patent office / region", "enum": [ "ANY", "US", "EP", "WO", "CN", "JP", "KR", "DE", "GB", "FR", "CA", "AU", "IN", "BR", "TW", "RU", "IT", "ES", "NL", "SE", "CH", "AT", "HK", "SG", "MX", "NO", "DK", "FI", "PL", "IL", "NZ", "ZA", "SA", "AR", "TH", "MY", "PH", "ID", "VN" ], "type": "string", "description": "๐Ÿ—บ๏ธ Pick a country or office โ€” or **Any** to search everywhere.", "default": "ANY" }, "dateFrom": { "title": "๐Ÿ“… Published after", "pattern": "^$|^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$|^(\\d+)\\s*(day|week|month|year)s?$", "type": "string", "description": "โณ Pick a **calendar date** or a **relative** range (e.g. *30 days*, *6 months*). Leave empty for no lower bound.", "default": "" }, "dateTo": { "title": "๐Ÿ“… Published before", "pattern": "^$|^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$|^(\\d+)\\s*(day|week|month|year)s?$", "type": "string", "description": "โณ Same as above โ€” absolute or relative. Leave empty for no upper bound.", "default": "" }, "patentType": { "title": "๐Ÿ“„ Document kind", "enum": [ "ANY", "PATENT", "APPLICATION", "DESIGN" ], "type": "string", "description": "๐Ÿ“‘ Limit to grants, applications, or designs โ€” or **Any** for all types.", "default": "ANY" }, "maxResults": { "title": "๐Ÿ”ข Max results", "minimum": 0, "type": "integer", "description": "๐ŸŽš๏ธ Cap how many patents to collect. Use **0** for no limit (be mindful of run time).", "default": 10 }, "includeFullText": { "title": "๐Ÿ“– Full description", "type": "boolean", "description": "๐Ÿ“œ Adds the full written description (large text).", "default": false }, "includeClaims": { "title": "โš–๏ธ Claims", "type": "boolean", "description": "๐Ÿ“‹ Adds the patent claims text.", "default": true }, "includeCitations": { "title": "๐Ÿ”— Citations", "type": "boolean", "description": "โ†ฉ๏ธ Adds backward and forward citation lists where available.", "default": true }, "includePatentFamily": { "title": "๐Ÿ‘จโ€๐Ÿ‘ฉโ€๐Ÿ‘ง Patent family", "type": "boolean", "description": "๐ŸŒ Adds related publications in the same family.", "default": true }, "includeClassifications": { "title": "๐Ÿท๏ธ CPC / IPC codes", "type": "boolean", "description": "๐Ÿงฎ Adds classification codes for analytics and filtering.", "default": true }, "proxyConfiguration": { "title": "๐Ÿ” Proxy", "type": "object", "description": "๐Ÿ›Ÿ Optional Apify Proxy settings. Leave default off if you donโ€™t need it." } } }, "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 } } } } } } } } } } ```