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Website Content Text Extractor — Any Website | Lagic

Built For

Get Clean, Structured Text from Any Web Page

Curated by Lagic·Verified working

Configure Agent

Single URL to extract text from (useful for quick tests). You can also use startUrls for multi-page runs. Leave empty if you only use startUrls.

Liste d'URLs supplémentaires à traiter en masse dans un seul run (une URL par ligne). Les doublons et lignes vides sont ignorés. Utilisez ce champ pour traiter plusieurs pages en une seule exécution.

Choose a predefined viewport size or use custom dimensions

Custom viewport width in pixels (only used when Viewport Type is 'custom')

Custom viewport height in pixels (only used when Viewport Type is 'custom')

Exclude header and navigation elements. Compatible with WordPress, Shopify, Webflow, Drupal, Joomla and most CMS platforms. If this doesn't work for your site, use Exclude Selectors manually.

Exclude footer elements. Compatible with WordPress, Shopify, Webflow, Drupal, Joomla and most CMS platforms. If this doesn't work for your site, use Exclude Selectors manually.

Exclude cookie consent banners and GDPR notices. Compatible with Cookiebot, OneTrust, Iubenda and most cookie consent platforms.

Results to deliver

800 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

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Country auto-rotated. Need a specific region? Contact support.

Pricing

8 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

A list of text blocks, each with its order, a unique ID, the HTML tag name, and the extracted text.Statistics on the extraction, including the number of excluded elements, total blocks, total characters, and unique blocks.The viewport dimensions used during extraction (height and width).The title of the webpage.The URL of the page from which the text was extracted.
Sample Text...1010098Sample Text...https://...
Sample Text...18810092Sample Text...https://...
...............
Exports as:CSVXLSXJSON

Overview

This tool extracts all visible text content from a specified URL or list of URLs, providing clean, structured text blocks, page titles, and statistics. It's ideal for content analysis, SEO audits, and building text datasets.

When you need to analyze website content, conduct SEO audits, or build datasets for natural language processing, raw HTML is often too messy. This Website Content Text Extractor is designed to fetch the visible text from any webpage, cleaning it up by removing common distractions. ### What it does The tool navigates to the specified web pages, renders them as a browser would, and then extracts all text that a human visitor would see. It intelligently identifies and organizes text into individual blocks, complete with their HTML tag names for further context. You receive not just a blob of text, but a structured output that helps you understand the page's content architecture. ### Cleaning and Customization One of the key challenges in text extraction is dealing with irrelevant elements like navigation menus, footers, cookie banners, and advertisements. This tool offers built-in options to automatically exclude headers, footers, and cookie consent banners, making your extracted content much cleaner. For more specific needs, you can provide custom CSS selectors to either include only specific content areas or exclude any elements that clutter your results. It also handles dynamic content by allowing you to specify a CSS selector to wait for before extraction begins, ensuring all JavaScript-rendered content is present. ### Responsive Design and Forms To ensure accurate representation across different devices, you can specify a viewport type (desktop, mobile, tablet, or custom dimensions) for the extraction. This is particularly useful for analyzing how content appears and is structured on various screen sizes. Additionally, if forms are part of the content you need to analyze, the tool can be configured to extract their labels, placeholders, and current values, providing a complete picture of interactive elements.

Key Capabilities

  • A list of text blocks, each with its order, a unique ID, the HTML tag name, and the extracted text.
  • Statistics on the extraction, including the number of excluded elements, total blocks, total characters, and unique blocks.
  • The viewport dimensions used during extraction (height and width).
  • The title of the webpage.
  • The URL of the page from which the text was extracted.
  • Content audits for SEO: Extract all page content to identify thin content, keyword gaps, or outdated information across many URLs.
  • Competitive content analysis: Gather text from competitor landing pages to study messaging, positioning, and feature claims.
  • Data preparation for AI/LLMs: Create clean, structured text datasets from web pages for training or fine-tuning large language models.
  • Archiving web content: Capture page text with timestamps for compliance records, legal discovery, or historical data preservation.
  • Academic research: Collect textual data from online sources for linguistic analysis, sentiment studies, or trend identification.
  • Content repurposing: Extract core article text from blog posts or news sites, stripped of navigation, for use in summaries or new formats.
  • Website migration planning: Document existing page content before a site redesign or platform migration to ensure no content is lost.

Field Dictionary

How To Run This Extractor

1

Provide one or more website URLs from which you want to extract text content.

2

Optionally, select viewport settings (desktop, mobile, tablet, or custom) to simulate different browsing environments.

3

Choose to automatically exclude common elements like headers, footers, and cookie banners for cleaner results.

4

Refine your extraction by specifying custom CSS selectors to include only certain content or exclude specific distracting elements.

5

Set the minimum text length for blocks and choose whether to deduplicate text to further clean the output.

6

Run the tool, and it will navigate to the specified pages, extract the visible text, and provide it as structured data.

Frequently Asked Questions

What kind of content does this tool extract?
This tool extracts all visible text content from web pages, organized into individual text blocks. It does not extract images, videos, or other media files, only the text that a user would read.
Can it handle dynamic websites that load content with JavaScript?
What output formats are available?
Do I need coding skills to use this tool?
How does it handle navigation elements like headers and footers?
Can I use this for client projects?
How reliable is the data extraction?
Can I schedule extractions to run regularly?
Is it possible to extract text from a large list of URLs?
What about legal and ethical considerations for scraping?
How does 'Minimum Text Length' affect the output?
What is the purpose of the 'Viewport Type' setting?