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README.md

Netdocuments Documents Info Parser Spider

Introduction

The Netdocuments Documents Info Parser Spider is a powerful web scraping tool designed to extract detailed information from NetDocuments blog posts. It efficiently gathers data such as titles, publication dates, author details, and social media links, providing valuable insights for various applications.

Features

• Comprehensive Data Extraction: Captures essential metadata including title, date published, writer name, and more.
• High-Quality Output: Ensures reliable and accurate data collection from NetDocuments blogs.
• Flexible Configuration: Allows customization of URLs and item limits to suit specific needs.
• Efficient Performance: Optimized for speed and resource management during scraping operations.
• User-Friendly Interface: Easy setup with clear input parameters and straightforward execution.

Input Parameters Table

Parameter	Type	Required	Description	Example
BlogUrls	array	Yes	The blog URLs for the spider.	["https://www.netdocuments.com/blog/example"]
item_limit	integer	No	Maximum items to scrape per actor run. Set to 0 for no limit.	10

Example Usage

Input JSON

{
  "BlogUrls": [
    "https://www.netdocuments.com/blog/true-ai-search-vs-ai-assisted-querying/"
  ],
  "item_limit": 10
}

Output JSON

[
  {
    "category": "BLOG",
    "title": "True AI Search vs. AI-Assisted Querying",
    "date_published": "January 21, 2026",
    "writer_image": "https://www.netdocuments.com/wp-content/uploads/2026/01/jared-beckstead.webp",
    "writer_name": "Jared Beckstead",
    "designation": "Senior Product Marketing Manager",
    "document_details": "",
    "topics": [
      "AI",
      "AI search"
    ],
    "social_media_links": {
      "linkedin": "https://www.linkedin.com/shareArticle?mini=true&url=https%3A%2F%2Fwww.netdocuments.com%2Fblog%2Ftrue-ai-search-vs-ai-assisted-querying%2F&title=True%20AI%20Search%20vs.%20AI-Assisted%20Querying",
      "facebook": "https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Fwww.netdocuments.com%2Fblog%2Ftrue-ai-search-vs-ai-assisted-querying%2F&title=True%20AI%20Search%20vs.%20AI-Assisted%20Querying",
      "x": "https://x.com/share?url=https%3A%2F%2Fwww.netdocuments.com%2Fblog%2Ftrue-ai-search-vs-ai-assisted-querying%2F&text=True%20AI%20Search%20vs.%20AI-Assisted%20Querying",
      "mail": "mailto:?subject=True%20AI%20Search%20vs.%20AI-Assisted%20Querying&body=True%20AI%20Search%20vs.%20AI-Assisted%20Querying%20\u2014%20https%3A%2F%2Fwww.netdocuments.com%2Fblog%2Ftrue-ai-search-vs-ai-assisted-querying%2F"
    },
    "actor_id": "Wzf2SxRyL35GTEm4w",
    "run_id": "vr3kkHCL7yf3xqyvu"
  }
]

Use Cases

• Market Research and Analysis: Extract insights from industry blogs to understand market trends.
• Competitive Intelligence: Monitor competitors' blog content for strategic planning.
• Price Monitoring: Track pricing strategies discussed in blog posts.
• Content Aggregation: Compile relevant articles for newsletters or reports.
• Academic Research: Gather data for studies on digital marketing and AI technologies.
• Business Automation: Automate the collection of blog metrics for business analysis.

Installation and Usage

1. Search for "Netdocuments Documents Info Parser Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as needed.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The output is a JSON array containing objects with fields such as category, title, date_published, writer_image, writer_name, designation, document_details, topics, and social_media_links. Each object represents a blog post with its associated metadata.

Support Section

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: Contact Us

We're here to help you get the most out of this Actor!

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