🌐 Google All-in-One Scraper

🚀 Effortlessly scrape Google search results across multiple types!

This powerful Actor allows you to extract data from various Google search types, including web, news, images, videos, scholar, autocomplete, and places.

🌟 Key Features

• 📊 Supports multiple search types: web, news, images, videos, scholar, autocomplete, and places
• 🌍 Customizable search parameters (language, country, time period, etc.)
• 🔄 Automatic pagination to retrieve desired number of results
• 💾 Results saved directly to Apify dataset

🛠️ Input Configuration

Customize your search with these parameters:

• search_type: Type of Google search (web, news, images, videos, scholar, autocomplete, places)
• maxItems: Maximum number of results to retrieve (100-5000)
• query: Your search query
• gl: Google country for the query
• hl: Google UI language for results
• lr: Limit results to specified language
• cr: Limit results to specified country
• time_period: Time range for results
• nfpr: Exclude auto-corrected results
• filter: Enable/disable Similar Results and Omitted Results filters

📊 Output

The Actor pushes the scraped data directly to the Apify dataset. The structure of the results varies depending on the chosen search type, but generally includes relevant information such as titles, URLs, descriptions, and additional metadata.

🚀 Get Started

1. Set up your ScaleSerp API keys in the Actor's environment variables.
2. Configure your search parameters in the input.
3. Run the Actor and watch as it collects your desired Google search results!

Happy scraping! 🎉

Input Example

A full explanation of an input example in JSON.

1{
2    "search_type": "images",
3    "maxItems": 100,
4    "query": "Apify" 
5}

Output sample

The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

1[
2	{
3		"position": 1,
4		"title": "How Apify saved 3.5 engineering days ...",
5		"link": "https://www.keboola.com/blog/how-apify-saved-3-engineering-days-per-month-while-doubling-upsells",
6		"domain": "www.keboola.com",
7		"width": 310,
8		"height": 163,
9		"image": "https://cdn.prod.website-files.com/5e6f9b297ef3941db2593ba1/6513da67666b289204961547_Apify%20(1).png",
10		"source": {
11			"link": "https://How Apify saved 3.5 engineering days ...",
12			"domain": "how",
13			"name": "How Apify saved 3.5 engineering days ..."
14		}
15	},
16	{
17		"position": 2,
18		"title": "Running Actors | Platform | Apify ...",
19		"link": "https://docs.apify.com/platform/actors/running",
20		"domain": "docs.apify.com",
21		"width": 274,
22		"height": 184,
23		"image": "https://docs.apify.com/assets/images/store-google-maps-scraper-5ea832e3679ab01dd58090a38f0c48c7.png",
24		"source": {
25			"link": "https://Running Actors | Platform | Apify ...",
26			"domain": "running",
27			"name": "Running Actors | Platform | Apify ..."
28		}
29	},
30    ...
31]