# US Patents Scraper — Search, Keyword & Assignee (`logiover/patentsview-scraper`) Actor Scrape US patents by keyword, assignee, or date range. Extract patent ID, title, date, abstract, inventors, assignees, CPC class, type, and claims count. No API key required. - **URL**: https://apify.com/logiover/patentsview-scraper.md - **Developed by:** [Logiover](https://apify.com/logiover) (community) - **Categories:** Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ../README.md # Actor input Schema ## `query` (type: `string`): Optional. Keyword(s) to search in patent titles and abstracts (e.g. 'battery', 'solar panel', 'machine learning'). Leave every filter empty to return the most recent patents. ## `assignee` (type: `string`): Optional. Filter by patent assignee/owner company name (e.g. 'Samsung', 'Apple', 'Tesla'). ## `inventor` (type: `string`): Optional. Filter by inventor last name or full name (e.g. 'Smith', 'John Smith'). ## `dateFrom` (type: `string`): Optional. Only patents published on or after this date (e.g. '2022-01-01'). ## `dateTo` (type: `string`): Optional. Only patents published on or before this date (e.g. '2024-12-31'). ## `countryCode` (type: `string`): Patent office to search. Default 'US'. Choose 'All offices' for worldwide results. ## `sort` (type: `string`): Result ordering. 'Newest first' is used automatically when no search filters are provided. ## `maxResults` (type: `integer`): Maximum number of patents to scrape (bounds the run so it stays fast & cheap). Set 0 to pull everything available (Google Patents caps at ~10,000 per query). ## `proxyConfig` (type: `object`): Proxy settings for scraping. Apify Proxy (automatic) is recommended. ## Actor input object example ```json { "query": "machine learning", "countryCode": "US", "sort": "new", "maxResults": 200, "proxyConfig": { "useApifyProxy": true } } ```` # Actor output Schema ## `results` (type: `string`): All patents extracted by this run. Open the Dataset tab to browse, filter, and export as CSV, JSON, or Excel. # 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": "machine learning", "proxyConfig": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("logiover/patentsview-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": "machine learning", "proxyConfig": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("logiover/patentsview-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": "machine learning", "proxyConfig": { "useApifyProxy": true } }' | apify call logiover/patentsview-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=logiover/patentsview-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "US Patents Scraper — Search, Keyword & Assignee", "description": "Scrape US patents by keyword, assignee, or date range. Extract patent ID, title, date, abstract, inventors, assignees, CPC class, type, and claims count. No API key required.", "version": "1.0", "x-build-id": "Fao4ClYb159w1Toz1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/logiover~patentsview-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-logiover-patentsview-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/logiover~patentsview-scraper/runs": { "post": { "operationId": "runs-sync-logiover-patentsview-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/logiover~patentsview-scraper/run-sync": { "post": { "operationId": "run-sync-logiover-patentsview-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Keyword / Search Query", "type": "string", "description": "Optional. Keyword(s) to search in patent titles and abstracts (e.g. 'battery', 'solar panel', 'machine learning'). Leave every filter empty to return the most recent patents." }, "assignee": { "title": "Assignee (Company)", "type": "string", "description": "Optional. Filter by patent assignee/owner company name (e.g. 'Samsung', 'Apple', 'Tesla')." }, "inventor": { "title": "Inventor Name", "type": "string", "description": "Optional. Filter by inventor last name or full name (e.g. 'Smith', 'John Smith')." }, "dateFrom": { "title": "Date From (YYYY-MM-DD)", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Optional. Only patents published on or after this date (e.g. '2022-01-01')." }, "dateTo": { "title": "Date To (YYYY-MM-DD)", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Optional. Only patents published on or before this date (e.g. '2024-12-31')." }, "countryCode": { "title": "Patent Office / Country", "enum": [ "ALL", "US", "EP", "WO", "JP", "CN", "KR", "DE", "GB", "FR", "CA", "AU", "IN", "RU", "BR", "ES", "IT", "NL", "CH", "SE", "TW" ], "type": "string", "description": "Patent office to search. Default 'US'. Choose 'All offices' for worldwide results.", "default": "US" }, "sort": { "title": "Sort Order", "enum": [ "relevance", "new", "old" ], "type": "string", "description": "Result ordering. 'Newest first' is used automatically when no search filters are provided.", "default": "new" }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Maximum number of patents to scrape (bounds the run so it stays fast & cheap). Set 0 to pull everything available (Google Patents caps at ~10,000 per query).", "default": 200 }, "proxyConfig": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for scraping. Apify Proxy (automatic) is recommended." } } }, "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 } } } } } } } } } } ```