# Google Patents Scraper (`codingfrontend/google-patents-scraper`) Actor Scrapes patent data from Google Patents including title, patent number, inventor, assignee, filing/publication dates, abstract, link and citations. - **URL**: https://apify.com/codingfrontend/google-patents-scraper.md - **Developed by:** [codingfrontend](https://apify.com/codingfrontend) (community) - **Categories:** Developer tools, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ### Features - **Patent Data**: Extracts comprehensive patent records from Google Patents including title, patent number, and abstract - **Inventor & Assignee**: Captures the names of inventors and patent assignees/owners - **Filing & Publication Dates**: Records both the filing date and official publication date for each patent - **Patent Citations**: Collects lists of patents cited by each result - **Country Filtering**: Filter patents by country code (US, EP, WO, CN, JP, KR, DE, GB, etc.) - **Date Range Filtering**: Narrow results to patents filed within a specific date range - **Direct Patent Links**: Extracts links to full patent documents on Google Patents - **Proxy Support**: Built-in Apify Proxy support for reliable patent search access ### Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `query` | String | Yes | `"artificial intelligence"` | Search query to use on Google Patents | | `maxItems` | Integer | No | `50` | Maximum number of patent results to scrape (1–500) | | `country` | String | No | — | Filter by country code (e.g., US, EP, WO, CN, JP) | | `dateFrom` | String | No | — | Filter patents filed on or after this date (YYYYMMDD format) | | `dateTo` | String | No | — | Filter patents filed on or before this date (YYYYMMDD format) | | `proxyConfiguration` | Object | No | Apify Proxy | Proxy settings for the scraper | #### Input Schema Example ```json { "query": "electric vehicle battery technology", "maxItems": 100, "country": "US", "dateFrom": "20200101", "dateTo": "20241231", "proxyConfiguration": { "useApifyProxy": true } } ```` ### Output Schema The scraper outputs structured JSON data for each patent result found on Google Patents. #### Main Fields | Field | Type | Description | |-------|------|-------------| | `position` | Integer | Result position in search results | | `query` | String | The search query used | | `title` | String | Patent title | | `patentNumber` | String | Patent or publication number | | `inventor` | String | Patent inventor(s) | | `assignee` | String | Patent assignee or owner | | `filingDate` | String | Date the patent was filed | | `publicationDate` | String | Date the patent was published | | `abstract` | String | Patent abstract text | | `link` | String | URL to the patent on Google Patents | | `citations` | Array | List of cited patents | | `scrapedAt` | String | ISO timestamp of when the data was scraped | #### Patent Result Example ```json { "position": 1, "query": "electric vehicle battery technology", "title": "Solid-state electrolyte for lithium-ion batteries", "patentNumber": "US11234567B2", "inventor": "John Doe, Jane Smith", "assignee": "Tesla, Inc.", "filingDate": "2021-03-15", "publicationDate": "2023-07-20", "abstract": "A solid-state electrolyte composition comprising lithium phosphorus oxynitride for use in high-energy-density lithium-ion batteries...", "link": "https://patents.google.com/patent/US11234567B2", "citations": ["US10987654B1", "US9876543B2"], "scrapedAt": "2025-01-15T10:30:00.000Z" } ``` # Actor input Schema ## `query` (type: `string`): The search query to use on Google Patents. ## `maxItems` (type: `integer`): Maximum number of patent results to scrape. ## `country` (type: `string`): Filter patents by country code (e.g. US, EP, WO, CN, JP, KR, DE, GB). ## `dateFrom` (type: `string`): Filter patents filed on or after this date (YYYYMMDD format, e.g. 20200101). ## `dateTo` (type: `string`): Filter patents filed on or before this date (YYYYMMDD format, e.g. 20231231). ## `proxyConfiguration` (type: `object`): Proxy configuration for the scraper. ## Actor input object example ```json { "query": "artificial intelligence", "maxItems": 50, "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 = { "query": "artificial intelligence", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("codingfrontend/google-patents-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 = { "query": "artificial intelligence", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("codingfrontend/google-patents-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 '{ "query": "artificial intelligence", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true } }' | apify call codingfrontend/google-patents-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codingfrontend/google-patents-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Patents Scraper", "description": "Scrapes patent data from Google Patents including title, patent number, inventor, assignee, filing/publication dates, abstract, link and citations.", "version": "1.0", "x-build-id": "kJDxTo2iht7RCvciJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codingfrontend~google-patents-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codingfrontend-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/codingfrontend~google-patents-scraper/runs": { "post": { "operationId": "runs-sync-codingfrontend-google-patents-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/codingfrontend~google-patents-scraper/run-sync": { "post": { "operationId": "run-sync-codingfrontend-google-patents-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "query" ], "properties": { "query": { "title": "Search Query", "type": "string", "description": "The search query to use on Google Patents." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of patent results to scrape.", "default": 50 }, "country": { "title": "Country Code", "type": "string", "description": "Filter patents by country code (e.g. US, EP, WO, CN, JP, KR, DE, GB)." }, "dateFrom": { "title": "Date From", "type": "string", "description": "Filter patents filed on or after this date (YYYYMMDD format, e.g. 20200101)." }, "dateTo": { "title": "Date To", "type": "string", "description": "Filter patents filed on or before this date (YYYYMMDD format, e.g. 20231231)." }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy configuration for the scraper." } } }, "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 } } } } } } } } } } ```