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Web page data extraction for headings, paragraphs, and images

Extract structured content from any webpage - H1 and H3 headings, paragraph text, and embedded images - to audit site structure, repurpose content, or analyze competitor page layouts.

Automations

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Browse AI robot
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What this robot does

Every webpage is built from a hierarchy of content elements - headings that signal topic structure, paragraphs that carry the substance, and images that support the message. For SEO auditors, content strategists, and competitive analysts, this structure reveals how pages are organized, what topics they prioritize, and how thoroughly they cover a subject. Manually inspecting source code or copying text from dozens of pages is slow and error-prone.

This web page data extraction robot reads any URL and pulls out every H1 heading, every H3 heading, every paragraph block, and every embedded image URL. The result is a clean, structured breakdown of the page's content architecture - ready for SEO audits, content gap analysis, or migration planning.

What structured webpage content extraction delivers:

  • ✓ Full content hierarchy from any URL - headings, paragraphs, and images captured as structured data instead of raw HTML for immediate analysis.
  • ✓ SEO heading audits in bulk: check whether pages follow proper H1-H4 hierarchy, spot missing heading levels, and verify keyword placement across heading tags.
  • ✓ Content migration support: extract the text and image inventory from existing pages before redesigning or moving to a new CMS platform.
  • ✓ Competitive page analysis: pull the content structure of competitor landing pages to see how they organize topics, what depth they cover, and where gaps exist.
PositionIMGH1H3P
#1example.com/image1.jpgMain Page TitleSection OverviewFirst paragraph of content here.
#2example.com/image2.jpgSubsection HeaderSecond paragraph with additional details.
#3example.com/image3.jpgAnother SubsectionThird paragraph continuing the narrative.
#4example.com/image4.jpgKey InformationFourth paragraph with important context.
#5example.com/image5.jpgFinal SectionFifth paragraph concluding the content.

How to extract headings and content from any webpage in 4 steps

No browser extensions, no HTML parsing scripts, and no developer tools. Paste a URL and the robot returns the full content structure.

  • A free Browse AI account (no credit card required).
  • The URL of any publicly accessible webpage you want to extract content from.
1
Sign up for free
Create your Browse AI account in under a minute. No credit card required. You will find this prebuilt robot in the robot library ready to use.
2
Paste the target webpage URL
Copy the URL of the page you want to analyze - a blog post, landing page, product page, or any public webpage. Queue multiple URLs to extract content structure across an entire section of a site or across competitor pages.
3
Run the robot
Click run. The robot loads the page and extracts every H1 element, every H3 element, every paragraph block, and every embedded image with its source URL. The output preserves the document order and provides lists of H1 tags, H3 tags, paragraph text, and image URLs for comprehensive content analysis.
4
Connect integrations or export your data
Your content structure data is ready. Export to Google Sheets for an SEO heading audit, sync to Airtable for a content inventory database, or process through Zapier into your content management workflow.

See it in action

Ready to get started?

Try this robot free →

What can you do with extracted webpage content?

Structured page content powers SEO auditing, content strategy, and competitive research:

  • SEO heading audits: Verify that every page follows proper heading hierarchy. Check for missing H1 tags, duplicate headings, or keyword-stuffed heading text across your entire site.
  • Content gap analysis: Extract headings from top-ranking competitor pages for a keyword. Compare their topic coverage against your own pages to find gaps you should fill.
  • Content migration: Before moving to a new CMS, extract the full content inventory - headings, text, and images - from every page. Use the structured data to plan and verify the migration.
  • Page template analysis: Extract content from multiple pages using the same template. Verify that headings, image placement, and paragraph structure are consistent across the template.
  • Accessibility review: Check whether heading levels are used correctly for screen reader navigation. Skipped heading levels (H1 to H3 with no H2) create accessibility barriers.
  • Content repurposing: Extract headings and paragraphs to quickly identify which content sections can be repurposed into social posts, newsletters, or slide decks.
🔎
SEO specialists
Audit heading structures across your site or competitors. Spot heading hierarchy issues, keyword placement opportunities, and content depth gaps.
📝
Content strategists
Map out how competitor pages organize their content. Use heading structures to plan more comprehensive content outlines.
🖥️
Web developers and migration teams
Extract content inventories before redesigns or CMS migrations. Structured data makes page-by-page content transfer systematic.
Accessibility auditors
Verify heading hierarchy across pages. Proper H1-H4 nesting is essential for screen reader navigation and WCAG compliance.

What data does this web page extractor capture?

Each webpage yields these structured elements in document order:

FieldWhat it contains
PositionThe sequential order of the element on the page.
IMGThe source URL of each embedded image.
H1The text content within H1 heading elements.
H3The text content within H3 heading elements.
PThe body text from each paragraph block.
list: IMG TagsCollection of all image URLs extracted from the page.
list: H3 TagsCollection of all H3 heading texts extracted from the page.
list: P TagsCollection of all paragraph texts extracted from the page.

The extraction captures the page as rendered at the time of the robot's visit. Dynamic content loaded via JavaScript is included since the robot renders pages in a full browser. Schedule periodic runs to track content changes over time.

Frequently asked questions

What does this webpage extractor do?
It reads any public URL and extracts all H1 and H3 headings, paragraph text, and image references into a structured dataset - giving you the complete content architecture of the page.

Can I extract content from any website?
Yes. Any publicly accessible webpage can be extracted. Password-protected or login-gated pages are not accessible.

Does it handle JavaScript-rendered pages?
Yes. The robot uses a full browser to render the page, so content loaded dynamically via JavaScript is captured alongside static HTML content.

Can I audit multiple pages at once?
Yes. Queue multiple URLs and all content structure data flows into one dataset. Perfect for auditing an entire site section or comparing multiple competitor pages.

Is this tool free?
Browse AI's free plan includes credits to run this robot. Sign up without a credit card and start extracting page content.

How is this different from view source?
View source shows raw HTML code. This robot delivers clean, structured data - just the H1 and H3 headings, paragraph text, and images - ready for analysis without parsing HTML.

Page content structure is one dimension - combine with technical SEO data for complete page audits:

Audit page content structure at scale

Headings, paragraphs, images - structured content extraction from any webpage.

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