Article Content Extractor πŸ“„

Article Content Extractor πŸ“„

Extract clean article content, metadata and structured information from any web page. Supports multiple URLs and returns well-formatted JSON with title, description, content, author, publish date and more. πŸ”πŸ“„

DEVELOPER_TOOLSINTEGRATIONSOTHERApify

Extract clean article content and metadata from any web pages automatically. This actor helps you get structured content from news sites, blogs, and other article-based websites.

Features ✨

  • Extract article content and metadata from any URL
  • Support batch processing of multiple URLs
  • Clean and structured JSON output
  • Built-in rate limiting to avoid overloading target sites
  • Robust error handling and validation
  • Fast and efficient processing

Output Data Structure πŸ“Š

The actor extracts the following information from each article:

  • Title
  • Description
  • Main content (both HTML and plain text)
  • Author
  • Publication date
  • Source domain
  • Featured image URL
  • Related links
  • Tags
  • Scraping timestamp

Use Cases πŸ’‘

  • Content aggregation and syndication
  • News monitoring and analysis
  • Research and data collection
  • Content migration
  • SEO analysis
  • Digital archiving

Limitations ⚠️

  • Respects robots.txt and implements polite scraping
  • 2-second delay between requests to avoid overwhelming target servers
  • URLs must be valid and accessible
  • Content extraction quality depends on page structure

Tips for Best Results πŸ’ͺ

  1. Provide valid, accessible URLs
  2. Use for public content only
  3. Consider target website's terms of service
  4. Monitor execution logs for any issues

Need help or have questions? Feel free to reach out!

Input Example

A full explanation of an input example in JSON.

1{
2    "urls": [
3        "https://cleartax.in/s/gst-hsn-lookup",
4        "https://www.fancode.com/pickleball/schedule"
5    ]
6}

Output sample

The results will be wrapped into a dataset which you can always find in theΒ StorageΒ 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        "url": "https://www.fancode.com/pickleball/schedule",
4        "title": "Pickleball Schedule - Check International and Domestic matches on FanCode",
5        "description": "ABOUT FANCODEIndia's Premium Live Streaming, Live Scores & Sports Merchandise Shopping platform FanCode has grown to become one of the most loved and followed all-sports destination in the last few years....",
6        "content": "<div><p><label>ABOUT FANCODE</label><label>India's Premium Live Streaming, Live Scores &amp; Sports Merchandise Shopping platform FanCode has grown to become one of the most loved and followed all-sports destination in the last few years. The FanCode app has been downloaded by more than 3+ crore users. It offers interactive live streaming of all major sporting events, premier cricket tournaments, women's cricket, live football, basketball, baseball, wrestling, badminton, and other major sports. It also offer real-time match highlights, match videos, cricket videos, India cricket highlights, highlights of today's match, highlights of yesterday's match, cricket data, statistics, cricket analysis, fantasy insights, cricket updates, breaking news from India cricket and world of sports. It also offers sports merchandise for all major sporting leagues and teams from across the world.</label></p></div>",
7        "author": "",
8        "publishedDate": "",
9        "source": "fancode.com",
10        "image": "https://www.fancode.com/skillup-uploads/fc-web/home-page-new-arc/hero-image/v1/hero-image-dweb-v4.png",
11        "links": [
12            "https://www.fancode.com/pickleball/schedule"
13        ],
14        "tags": [],
15        "scrapedAt": "2025-02-05T07:19:26.119Z"
16    },
17    ...
18]

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool β€” just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!