# Google Patents Search — $0.50/1K (`scrapesignal_labs/google-patents-search-scraper`) Actor

Search Google Patents and export publication numbers, titles, snippets, inventors, assignees, filing and grant dates, PDFs, figures, family countries, and patent URLs.

- **URL**: https://apify.com/scrapesignal\_labs/google-patents-search-scraper.md
- **Developed by:** [ScrapeSignal Labs](https://apify.com/scrapesignal_labs) (community)
- **Categories:** Education, Developer tools, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 patent 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/actors/running/actors-in-store.md#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 Search

Turn Google Patents searches into clean rows for prior-art research, competitive intelligence, technology landscapes, R\&D monitoring, legal workflows, spreadsheets, and AI-agent datasets.

Each result includes publication number, title, snippet, inventor, assignee, priority/filing/publication/grant dates, canonical patent URL, PDF, thumbnail, figure count, language, and family-country status.

```json
{
  "queries": ["artificial intelligence"],
  "sortBy": "relevance",
  "countryCode": "US",
  "maxResultsPerQuery": 50
}
```

Queries may contain keywords, company names, inventors, CPC codes, or publication numbers. The explicit per-query limit keeps cost predictable. Use the Console, API, Python, JavaScript, CLI, schedules, webhooks, MCP, or an AI agent. This is research data, not a legal opinion; verify material facts in official patent-office records.

# Actor input Schema

## `queries` (type: `array`):

Keywords, assignees, inventors, CPC codes, or publication numbers—one query per line.

## `sortBy` (type: `string`):

Rank results by relevance or patent date.

## `countryCode` (type: `string`):

Optional two-letter patent-office country code, such as US or EP.

## `languageCode` (type: `string`):

Language used in canonical patent links.

## `maxResultsPerQuery` (type: `integer`):

Hard output and price ceiling per query.

## `maxConcurrency` (type: `integer`):

Number of patent queries fetched in parallel.

## `timeoutSeconds` (type: `integer`):

Maximum seconds to wait for each patent query.

## Actor input object example

```json
{
  "queries": [
    "artificial intelligence"
  ],
  "sortBy": "relevance",
  "countryCode": "",
  "languageCode": "en",
  "maxResultsPerQuery": 50,
  "maxConcurrency": 2,
  "timeoutSeconds": 30
}
```

# Actor output Schema

## `dataset` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapesignal_labs/google-patents-search-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("scrapesignal_labs/google-patents-search-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call scrapesignal_labs/google-patents-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapesignal_labs/google-patents-search-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Veb7aUl4rd7P16Yd3/builds/cdbElu033QYqcr3Qd/openapi.json