# Patent Watch — New Filings & Grants by Keyword or Company (`jdepablos/patent-watch`) Actor Watch new patent publications for any technology or company: title, abstract snippet, assignee, inventor, dates and PDF link — structured for competitive intelligence, R\&D radar and AI agents. - **URL**: https://apify.com/jdepablos/patent-watch.md - **Developed by:** [Juan de Pablos](https://apify.com/jdepablos) (community) - **Categories:** Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $15.00 / 1,000 patent watches 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 ## Patent Watch — New Filings & Grants by Keyword or Company **One watch = one technology or company monitored.** Get new patent publications as structured data: title, abstract snippet, assignee, inventor, filing/publication dates and PDF link. Built for competitive intelligence, R&D radar, deep-tech scouting and AI agents. ```json { "term": "solid state battery", "hits": [ { "publicationNumber": "US20260125054A1", "title": "Solid-state electrolyte composition and battery cell", "snippet": "A solid-state battery comprising a sulfide electrolyte…", "assignee": "Toyota Motor Corporation", "inventor": "…", "filingDate": "2024-11-02", "publicationDate": "2026-05-07", "url": "https://patents.google.com/patent/US20260125054A1/en", "pdf": "https://patentimages.storage.googleapis.com/…" } ], "meta": { "totalIndexed": 13329, "daysBack": 90 } } ```` ### What you can watch - **A technology**: `{"term": "solid state battery"}` — every new publication touching the topic. - **A company**: `{"assignee": "Nintendo"}` — a competitor's fresh filings, before the tech press writes about them. - **Both**: `{"term": "lidar", "assignee": "Bosch"}` — a company's moves in one specific field. - **A portfolio**: up to 20 watches per run via `watches`, ideal on a weekly schedule. ### Use with AI agents (MCP) ``` https://mcp.apify.com?tools=jdepablos/patent-watch ``` Your agent gets a "what's new in patents for X?" tool with clean structured output — no PDFs to parse, no pagination. Combine with a scheduled run and the agent can brief you weekly on competitors' R\&D. ### Pricing Pay per event: one **patent-watch** charge per watch that returns hits. Watches with no new publications in the window are **never charged** — a quiet week costs you nothing. ### FAQ **Where does the data come from?** Google Patents' public index (worldwide coverage: US, EP, WO, JP, CN…). **How fresh is it?** Google Patents indexes new publications with a ~2 month lag. `daysBack: 90` is the sweet spot for a rolling watch (below 60 days the index often has nothing yet) — you'll see everything, slightly deferred, with zero API keys or credentials. **Can I filter by jurisdiction?** v1 returns worldwide results (the `publicationNumber` prefix tells you the office: US, EP, WO…). Per-office filters are on the roadmap. **Is this legal advice or a freedom-to-operate search?** No. It's a monitoring feed of public data; consult a patent attorney for legal questions. # Actor input Schema ## `term` (type: `string`): Technology or topic to watch, e.g. "solid state battery" or "drone delivery". Combine with `assignee` to scope it to a company. ## `assignee` (type: `string`): Watch a company's new publications, e.g. "Nintendo" or "OpenAI". Works alone or combined with `term`. ## `watches` (type: `array`): Up to 20 watches per run: `[{"term": "solid state battery"}, {"assignee": "DeepMind"}, {"term": "lidar", "assignee": "Bosch"}]`. ## `daysBack` (type: `integer`): Only publications dated within this window. Note: Google Patents indexes new publications with a ~2 month lag — below 60 days you will often get zero hits; 90 is the sweet spot for a rolling watch. ## `maxResults` (type: `integer`): Cap of publications returned per watch (max 50). ## `proxy` (type: `object`): Residential proxy recommended (Google throttles datacenter IPs). ## Actor input object example ```json { "term": "solid state battery", "daysBack": 90, "maxResults": 20, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "term": "solid state battery", "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("jdepablos/patent-watch").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 = { "term": "solid state battery", "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("jdepablos/patent-watch").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 '{ "term": "solid state battery", "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call jdepablos/patent-watch --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jdepablos/patent-watch", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Patent Watch — New Filings & Grants by Keyword or Company", "description": "Watch new patent publications for any technology or company: title, abstract snippet, assignee, inventor, dates and PDF link — structured for competitive intelligence, R&D radar and AI agents.", "version": "0.1", "x-build-id": "FY3lxSwnl2rAq9Q3h" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jdepablos~patent-watch/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jdepablos-patent-watch", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jdepablos~patent-watch/runs": { "post": { "operationId": "runs-sync-jdepablos-patent-watch", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jdepablos~patent-watch/run-sync": { "post": { "operationId": "run-sync-jdepablos-patent-watch", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "term": { "title": "Keyword / technology", "type": "string", "description": "Technology or topic to watch, e.g. \"solid state battery\" or \"drone delivery\". Combine with `assignee` to scope it to a company." }, "assignee": { "title": "Company (assignee)", "type": "string", "description": "Watch a company's new publications, e.g. \"Nintendo\" or \"OpenAI\". Works alone or combined with `term`." }, "watches": { "title": "Batch watches", "type": "array", "description": "Up to 20 watches per run: `[{\"term\": \"solid state battery\"}, {\"assignee\": \"DeepMind\"}, {\"term\": \"lidar\", \"assignee\": \"Bosch\"}]`." }, "daysBack": { "title": "Days back", "type": "integer", "description": "Only publications dated within this window. Note: Google Patents indexes new publications with a ~2 month lag — below 60 days you will often get zero hits; 90 is the sweet spot for a rolling watch.", "default": 90 }, "maxResults": { "title": "Max results per watch", "minimum": 1, "maximum": 50, "type": "integer", "description": "Cap of publications returned per watch (max 50).", "default": 20 }, "proxy": { "title": "Proxy", "type": "object", "description": "Residential proxy recommended (Google throttles datacenter IPs).", "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 } } } } } } } } } } ```