Expert Tutorial

How to Use Articles Extractor to Extract Data (2026 Guide)

A step-by-step guide on how to use Articles Extractor to extract data and export it to Excel or CSV without coding.

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What is Articles Extractor?

Extract clean article text, headlines, authors, dates, and images from news sites and blogs. Built for RAG pipelines, media monitoring, and content research.

The Articles Extractor turns news articles, blog posts, and online publications into clean structured data. Its HTML parsing engine pulls full article text with formatting, headlines, subheadings, author info, publication dates, featured images, reading-time estimates, and SEO metadata — while stripping ads, navigation, and boilerplate. It processes thousands of URLs in parallel for large-scale collection. Each run accepts a list of article URLs plus options like the alternative parser, saved article HTML, custom headers, header generation, and residential proxies. Export results in JSON, CSV, XML, RSS, or HTML straight into analytics pipelines, content systems, RAG knowledge bases, or research databases.

Key Features

  • Full article text with formatting preserved
  • Headlines, authors, dates, and metadata
  • Reading time and content analytics
  • Ad and boilerplate removal
  • Alternative parser for tricky layouts
  • Parallel processing for thousands of URLs

How to Extract Data (Step by Step)

Extracting data using the Articles Extractor is incredibly straightforward. It runs entirely in the cloud, meaning you don't need to install any desktop software.

  1. Sign up for free: Create a free ParseFlow account to access professional extraction tools.
  2. Set your parameters: Paste the article URLs into the Articles Extractor configuration.
  3. Download your data: Click Start, wait a few minutes, and download your dataset as JSON, CSV, or Excel.
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What does the exported data look like?

You can export the results into Excel, CSV, JSON, or HTML. Here is a sample of what the raw JSON data looks like:

[
  {
    "url": "https://example.com/news/sample-article",
    "title": "Sample Extracted Article",
    "author": "Jane Reporter",
    "published": "2026-09-01T10:00:00.000Z",
    "ttr": 240,
    "source": "example.com",
    "extracted_at": "2026-09-11T14:30:00Z"
  }
]