# Google Patents Scraper (`searchapi/google-patents-scraper`) Actor

Scrapes Google Patents for any patent query. Extracts title, patent number, dates, inventors, assignees, patent office, status, snippet, abstract, claims, citation counts, PDF URL, CPC/IPC codes, and more.

- **URL**: https://apify.com/searchapi/google-patents-scraper.md
- **Developed by:** [Search API](https://apify.com/searchapi) (community)
- **Categories:** Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.99 / 1,000 google patents scraper 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

Scrapes Google Patents for any patent query. Extracts title, patent number, dates, inventors, assignees, patent office, status, snippet, abstract, claims, citation counts, PDF URL, CPC/IPC codes, and more.

### What this Actor collects

The Actor converts Google Patents results into one clean JSON record per patent or application, including publication identifiers and dates, inventors, assignees, office and status, abstract and claims, citations, classifications, document links, and search provenance when available.

- Uses the input limits and filters below to control the crawl.
- Stores source-backed fields defined by the 54-field dataset schema.
- Omits optional fields when the source does not expose a value instead of writing nulls or fabricated placeholders.

### Use cases

- Patent-landscape and prior-art research
- Inventor, assignee, and citation analysis
- Classification and document-link enrichment

### Input

Provide input in JSON. Fields marked required must be supplied. The Default / example column shows a schema default when one exists; otherwise it shows a documented prefill or fixture value.

| Field | Type | Required | Default / example | Description |
| --- | --- | :---: | --- | --- |
| `query` | string | Yes | `"artificial intelligence"` | The search query to use on Google Patents. |
| `maxItems` | integer | No | `50` | Maximum number of patent results to scrape. |
| `country` | string | No | — | Filter patents by country code (e.g. US, EP, WO, CN, JP, KR, DE, GB). |
| `dateFrom` | string | No | — | Filter patents filed on or after this date (YYYYMMDD format, e.g. 20200101). |
| `dateTo` | string | No | — | Filter patents filed on or before this date (YYYYMMDD format, e.g. 20231231). |
| `proxyConfiguration` | object | No | `{"useApifyProxy":true}` | Proxy configuration for the scraper. |

#### Example input

```json
{
  "query": "machine learning",
  "maxItems": 50,
  "country": "us",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "GOOGLE_SERP"
    ]
  }
}
```

### Output

The default dataset contains one item per patent or patent-application result. The following are the most useful fields; claims, citations, classifications, family data, and document links depend on the indexed patent record.

| Field | Type | Description |
| --- | --- | --- |
| `position` | integer | Position |
| `title` | string | Title |
| `patentNumber` | string | Patent Number |
| `inventor` | string | Inventor |
| `assignee` | string | Assignee |
| `publicationDate` | string | Publication Date |
| `patentStatus` | string | Patent Status |
| `searchQuery` | string | Search Query |
| `scrapedAt` | string | Scraped At |
| `type` | string | Type |
| `description` | string | Description |
| `snippet` | string | Snippet |
| `url` | string | URL |
| `link` | string | Link |
| `query` | string | Query |
| `resultType` | string | Result Type |

<details>
<summary>All 54 declared dataset fields</summary>

`position`, `title`, `patentNumber`, `inventor`, `assignee`, `publicationDate`, `patentStatus`, `searchQuery`, `scrapedAt`, `type`
`resultType`, `page`, `titleHtml`, `url`, `link`, `patentId`, `publicationNumber`, `publicationDateRaw`, `filingDate`, `filingDateRaw`
`grantedDate`, `priorityDate`, `expiryDate`, `inventors`, `assignees`, `applicant`, `owner`, `patentOffice`, `patentOfficeCountry`, `patentType`
`applicationType`, `kind`, `language`, `snippet`, `description`, `abstract`, `claims`, `claimsCount`, `citedBy`, `cites`
`familySize`, `thumbnail`, `imageUrl`, `pdfUrl`, `category`, `cpc`, `ipc`, `tags`, `searchUrl`, `searchMetadata`
`query`, `isApplication`, `cite`, `patentDate`

</details>

#### Example dataset item

This compact example is taken from local Actor storage. Long text and nested collections are shortened for documentation only.

```json
{
  "position": 1,
  "title": "Machine learning engine for fraud detection during cross-location online …",
  "patentNumber": "US10977654B2",
  "inventor": "Dinesh Kumar",
  "assignee": "Paypal, Inc.",
  "publicationDate": "2021-04-13",
  "patentStatus": "granted",
  "searchQuery": "machine learning",
  "scrapedAt": "2026-07-23T11:50:15.827Z",
  "type": "patent",
  "description": "A machine learning engine for fraud detection related to cross-location online transaction processing may be trained using artificial intelligence techniques and used according to…",
  "snippet": "A machine learning engine for fraud detection related to cross-location online transaction processing may be trained using artificial intelligence techniques and used according to…"
}
```

### Related Actors

- [Google About This Result Scraper](https://apify.com/searchapi/google-about-this-result-scraper)
- [Google AI Overview Scraper](https://apify.com/searchapi/google-ai-overview-scraper)
- [Google Autocomplete Scraper](https://apify.com/searchapi/google-autocomplete-scraper)

# 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
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Canonical v2 schema for Google Patents results — matches \_canonical/schemas/patents.schema.json

# 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("searchapi/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("searchapi/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 searchapi/google-patents-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=searchapi/google-patents-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/Nc4UiIvrGsQaDqJPL/builds/yInLxTcvvxjUawfxf/openapi.json