# 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:** [Coding Frontned](https://apify.com/codingfrontend) (community)
- **Categories:** Developer tools, Automation, Other
- **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 0 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# 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 <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/npqC6Np3jM4nGoivE/builds/kJDxTo2iht7RCvciJ/openapi.json