# China CNIPA Patent Scraper (`jungle_synthesizer/china-cnipa-patent-scraper`) Actor Scrape Chinese patent data from Google Patents. Search by keyword, IPC classification, assignee, or date range. Returns bilingual (Chinese + English) patent records including title, abstract, inventors, assignees, CPC/IPC codes, legal status, and patent family information. - **URL**: https://apify.com/jungle\_synthesizer/china-cnipa-patent-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Business, Education, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## China CNIPA Patent Scraper Scrape Chinese patent data from Google Patents. Search by keyword, IPC/CPC classification code, assignee name, or date range. Returns bilingual (Chinese + English) patent records with full bibliographic data. ### What it does Two operating modes: **Search mode** (default): Queries Google Patents for Chinese patents using the provided keyword, classification code, or assignee name. Pages through results and fetches each patent's detail page. **Direct URL mode**: Provide specific Google Patents URLs (e.g. `https://patents.google.com/patent/CN115982415A/en`) and the actor scrapes only those patents, skipping the search step entirely. ### Output fields Each scraped patent produces one dataset record with 20 fields: | Field | Description | |-------|-------------| | `publication_number` | CNIPA publication number (e.g. `CN114547329B`) | | `application_number` | Application number (e.g. `CN:202310093204.3A`) | | `title_en` | Patent title in English (Google-translated) | | `abstract_en` | Full abstract in English (Google-translated) | | `abstract_cn` | Full abstract in Chinese (original text) | | `filing_date` | Filing date (YYYY-MM-DD) | | `publication_date` | Publication date (YYYY-MM-DD) | | `grant_date` | Grant date (YYYY-MM-DD), empty if not yet granted | | `priority_date` | Priority date (YYYY-MM-DD) | | `status` | Legal status (Pending, Active, Expired, etc.) | | `inventors_cn` | Inventors in Chinese characters, comma-separated | | `assignees_en` | Current assignees in English, comma-separated | | `assignees_cn` | Original assignees in Chinese, comma-separated | | `cpc_codes` | CPC classification codes, comma-separated (leaf codes only) | | `ipc_codes` | IPC classification codes, comma-separated | | `legal_events` | Legal event timeline as JSON string | | `family_members` | Patent family members, comma-separated | | `pdf_url` | URL to patent PDF | | `google_patents_url` | Google Patents detail page URL | | `scraped_at` | ISO timestamp of when the record was scraped | ### Input parameters | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `maxItems` | integer | Yes | Maximum patents to scrape (default: 10, Google Patents caps at 1,000 per query) | | `query` | string | No | Search keywords, IPC/CPC codes, or assignee name. Examples: `battery electric vehicle`, `H04L`, `Huawei` | | `dateFrom` | string | No | Filter patents filed on or after this date (YYYY-MM-DD) | | `dateTo` | string | No | Filter patents filed on or before this date (YYYY-MM-DD) | | `startUrls` | array | No | Direct Google Patents URLs to scrape. When provided, skips search entirely | ### Example inputs **Search by keyword with date range:** ```json { "query": "artificial intelligence medical", "dateFrom": "2022-01-01", "dateTo": "2024-12-31", "maxItems": 50 } ```` **Search by IPC classification code:** ```json { "query": "H04L", "maxItems": 100 } ``` **Search by assignee:** ```json { "query": "Huawei", "maxItems": 200 } ``` **Direct URL mode:** ```json { "startUrls": [ "https://patents.google.com/patent/CN115982415A/en", "https://patents.google.com/patent/CN108081978B/en" ], "maxItems": 2 } ``` ### Example output ```json { "publication_number": "CN115982415A", "application_number": "CN:202310093204.3A", "title_en": "Incremental graph division method, device, equipment, medium and product", "abstract_en": "The application discloses an incremental graph division method...", "abstract_cn": "本申请公开了一种增量图划分方法、装置、设备、介质及产品...", "filing_date": "2023-02-06", "publication_date": "2023-04-18", "grant_date": "", "priority_date": "2023-02-06", "status": "", "inventors_cn": "汤韬, 高鹏飞, 孙权, 潘婧, 赵金涛, 郑建宾, 艾博轩, 庞悦", "assignees_en": "China Unionpay Co Ltd", "assignees_cn": "China Unionpay Co Ltd", "cpc_codes": "G06F16/174, G06F16/901, G06F16/9536, G06Q50/00, Y02D10/00", "ipc_codes": "", "legal_events": "[{\"date\":\"2023-02-06\",\"title\":\"Application filed by China Unionpay Co Ltd\",\"type\":\"filed\"},...]", "family_members": "CN115982415A, WO2024164667A1, ...", "pdf_url": "https://patentimages.storage.googleapis.com/64/48/49/800ddc17fec1fc/CN115982415A.pdf", "google_patents_url": "https://patents.google.com/patent/CN115982415A/en", "scraped_at": "2026-05-11T04:22:20.537Z" } ``` ### Notes - Google Patents caps search results at 1,000 patents per query. Use `dateFrom`/`dateTo` to narrow large result sets. - The search API returns patents sorted by Google's relevance ranking. Results are not guaranteed to be exhaustive. - Chinese abstracts (`abstract_cn`) are extracted when available in the original-language source text. Not all patents have the original Chinese text displayed. - Legal events are returned as a JSON string containing an array of `{date, title, type}` objects. - Family members include all patent numbers in the global patent family (not limited to CN). # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `startUrls` (type: `array`): Optional: provide specific Google Patents URLs to scrape directly (e.g. https://patents.google.com/patent/CN115982415A/en). When provided, skips the search API and scrapes only these patents. ## `query` (type: `string`): Keywords, IPC/CPC classification codes, assignee names, or inventor names. Examples: 'artificial intelligence', 'H04L', 'Huawei'. Leave empty for a broad China patent search. ## `dateFrom` (type: `string`): Filter patents filed on or after this date (YYYY-MM-DD format). Example: 2020-01-01 ## `dateTo` (type: `string`): Filter patents filed on or before this date (YYYY-MM-DD format). Example: 2024-12-31 ## `maxItems` (type: `integer`): Maximum number of patents to scrape. Google Patents caps at 1,000 per query. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startUrls": [], "query": "battery electric vehicle", "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startUrls": [], "query": "battery electric vehicle", "dateFrom": "", "dateTo": "", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/china-cnipa-patent-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startUrls": [], "query": "battery electric vehicle", "dateFrom": "", "dateTo": "", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/china-cnipa-patent-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startUrls": [], "query": "battery electric vehicle", "dateFrom": "", "dateTo": "", "maxItems": 10 }' | apify call jungle_synthesizer/china-cnipa-patent-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/china-cnipa-patent-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "China CNIPA Patent Scraper", "description": "Scrape Chinese patent data from Google Patents. Search by keyword, IPC classification, assignee, or date range. Returns bilingual (Chinese + English) patent records including title, abstract, inventors, assignees, CPC/IPC codes, legal status, and patent family information.", "version": "0.1", "x-build-id": "ytqhnPKAKqZhpH8a1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~china-cnipa-patent-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-china-cnipa-patent-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/jungle_synthesizer~china-cnipa-patent-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-china-cnipa-patent-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/jungle_synthesizer~china-cnipa-patent-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-china-cnipa-patent-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": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "startUrls": { "title": "Start URLs (Direct Patent URLs)", "type": "array", "description": "Optional: provide specific Google Patents URLs to scrape directly (e.g. https://patents.google.com/patent/CN115982415A/en). When provided, skips the search API and scrapes only these patents.", "items": { "type": "string" } }, "query": { "title": "Search Query", "type": "string", "description": "Keywords, IPC/CPC classification codes, assignee names, or inventor names. Examples: 'artificial intelligence', 'H04L', 'Huawei'. Leave empty for a broad China patent search." }, "dateFrom": { "title": "Filing Date From", "type": "string", "description": "Filter patents filed on or after this date (YYYY-MM-DD format). Example: 2020-01-01" }, "dateTo": { "title": "Filing Date To", "type": "string", "description": "Filter patents filed on or before this date (YYYY-MM-DD format). Example: 2024-12-31" }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of patents to scrape. Google Patents caps at 1,000 per query.", "default": 10 } } }, "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 } } } } } } } } } } ```