# Google Search Scraper (`codingfrontend/google-search-scraper`) Actor

A robust, high-performance utility designed for developer automation, data integration, and AI training. Features built-in captcha bypass, headful/headless browser execution, and proxy support to scrape Google data seamlessly, reliably, and at scale.

- **URL**: https://apify.com/codingfrontend/google-search-scraper.md
- **Developed by:** [Coding Frontned](https://apify.com/codingfrontend) (community)
- **Categories:** Developer tools, Automation, AI
- **Stats:** 21 total users, 1 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/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 Search Scraper

Fetch bounded, localized Google web-search results and store a clean dataset containing organic results only. SERP features such as People Also Ask, related searches, featured text, and estimated totals are summarized in the run `OUTPUT` record instead of being mixed into the dataset.

### What it does

- Returns at most 100 organic results per run, across at most 10 search pages.
- Supports country, interface-language, result-language, time, duplicate-filter, and spelling-correction filters.
- Uses Apify's `GOOGLE_SERP` proxy group by default and accepts standard or custom proxy configuration.
- Resolves Google's protected result redirects with bounded, redirect-only requests; it does not fetch destination pages.
- Deduplicates by canonical result URL and emits no null or empty top-level fields.
- Fails closed on challenges, consent pages, oversized responses, or unrecognized source markup.
- Treats Google's explicit no-results page as a successful, valid empty result.

### Input

| Field | Type | Default | Notes |
| --- | --- | --- | --- |
| `query` | string | required | 1–300 characters |
| `maxItems` | integer | `10` | 1–100 |
| `gl` | string | `us` | Two-letter country code |
| `hl` | string | `en` | Two-letter interface language |
| `lr` | string | omitted | Google language restriction such as `lang_en` |
| `timePeriod` | string | omitted | `last_hour`, `last_day`, `last_week`, `last_month`, `last_year`, or `custom` |
| `timePeriodMin` / `timePeriodMax` | string | omitted | `MM/DD/YYYY`, required together for `custom` |
| `nfpr` | boolean | omitted | Disable automatic spelling correction when true |
| `filter` | boolean | omitted | Google duplicate-result filter |
| `requestTimeoutSecs` | integer | `45` | 5–120 |
| `maxRequestRetries` | integer | `1` | 0–2 |
| `proxyConfiguration` | object | Google SERP proxy | Apify or custom proxy settings |

Example:

```json
{
  "query": "OpenAI API documentation",
  "maxItems": 15,
  "gl": "us",
  "hl": "en",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["GOOGLE_SERP"]
  }
}
```

### Dataset

Each row is one source-backed organic result. Stable fields include `recordId`, `recordType`, `position`, `title`, `url`, `domain`, `searchQuery`, `searchPage`, localization fields, `searchUrl`, `scrapedAt`, `fieldCoverage`, and `dataQuality`. Optional source-backed fields such as `displayedUrl`, `snippet`, `date`, `siteLinks`, `rating`, and `reviewCount` are omitted when unavailable.

Run-level diagnostics are written to `OUTPUT`, including status, counts, pagination summaries, proxy mode, redirect-resolution count, failures, and elapsed time. Failed or ambiguous runs leave the dataset empty rather than publishing guessed records.

### Local verification

```bash
npm ci
npm run lint
npm test
apify validate-schema
apify run --input-file test-apify-input.json --purge
```

# Actor input Schema

## `query` (type: `string`):

Google web-search query, up to 300 characters.

## `maxItems` (type: `integer`):

Maximum unique organic rows across bounded result pages.

## `gl` (type: `string`):

Two-letter Google country code.

## `hl` (type: `string`):

Language code such as en or en-us.

## `lr` (type: `string`):

Optional result-language filter such as lang\_en.

## `timePeriod` (type: `string`):

Optional Google time filter; custom requires both date fields.

## `timePeriodMin` (type: `string`):

Required for custom time period, in MM/DD/YYYY.

## `timePeriodMax` (type: `string`):

Required for custom time period, in MM/DD/YYYY.

## `nfpr` (type: `integer`):

Optional: set to 1 to request no query autocorrection.

## `filter` (type: `integer`):

Optional: set to 0 to disable Google's similar-result filter.

## `requestTimeoutSecs` (type: `integer`):

Hard timeout per page in seconds.

## `maxRequestRetries` (type: `integer`):

Bounded retries per page.

## `proxyConfiguration` (type: `object`):

Google SERP is the validated default; standard/custom proxy and direct mode are accepted overrides.

## Actor input object example

```json
{
  "query": "OpenAI API documentation",
  "maxItems": 10,
  "gl": "us",
  "hl": "en",
  "timePeriod": "none",
  "requestTimeoutSecs": 45,
  "maxRequestRetries": 1,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "GOOGLE_SERP"
    ]
  }
}
```

# Actor output Schema

## `organicResults` (type: `string`):

No description

## `runSummary` (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 = {
    "query": "OpenAI API documentation",
    "maxItems": 10,
    "gl": "us",
    "hl": "en",
    "requestTimeoutSecs": 45,
    "maxRequestRetries": 1,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "GOOGLE_SERP"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("codingfrontend/google-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 = {
    "query": "OpenAI API documentation",
    "maxItems": 10,
    "gl": "us",
    "hl": "en",
    "requestTimeoutSecs": 45,
    "maxRequestRetries": 1,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["GOOGLE_SERP"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("codingfrontend/google-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 '{
  "query": "OpenAI API documentation",
  "maxItems": 10,
  "gl": "us",
  "hl": "en",
  "requestTimeoutSecs": 45,
  "maxRequestRetries": 1,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "GOOGLE_SERP"
    ]
  }
}' |
apify call codingfrontend/google-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,codingfrontend/google-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/Y0wW7ftci1BT3jTed/builds/DI1auNcET4R2eqAMr/openapi.json