WikiHow Article Scraper

Extracts structured article data from WikiHow based on search queries. It's designed for programmatic content collection, returning clean JSON output suitable for integration into other applications or data pipelines.

Key Features

• Keyword Search: Scrape articles by entering a search term (e.g., "how to bake bread").
• Structured Data Extraction: Captures article metadata and full content.
• Metadata: Retrieves title, publication/update date, view count, and original URL for each article.
• Step-by-Step Content: Gets the complete guide content, broken down into individual steps with titles and descriptions.
• Result Limiting: Control the number of articles scraped using the maxArticles parameter.
• Efficient Performance: Built for speed and reliability during scraping sessions.

How to Use

Configure the actor with a simple JSON input. The actor will execute the search, scrape the specified number of articles, and store the structured results in a dataset within your Apify account.

Input Parameters

Input Example:

{
  "search": "how to make a website",
  "maxArticles": 10
}

Input / Output

Input: Provide the search query and desired article limit as shown above.

Output: The actor outputs an array of article objects in JSON format. Each article contains the following structure:

[
  {
    "title": "How to Make a Free Website: Site Builders, Expert Tips, & More",
    "date": "Updated 2 months ago",
    "views": "1,072,433 views",
    "link": "https://www.wikihow.com/Make-a-Free-Website",
    "content": [
      {
        "title": "Make a list of the 'must-haves' for your website.",
        "content": "Answering key questions like these first will make it much easier..."
      },
      {
        "title": "Search for 'free website builders' for the simplest building options.",
        "content": "It pays to do your homework here instead of just blindly choosing..."
      }
    ]
  }
]

Results are saved to a dataset in the Storage tab and can be downloaded in multiple formats: JSON, JSONL, Excel, HTML, CSV, or XML.