Product

Use AI to Extract Named Entities from Any Web Page — Instantly and at Scale

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  • Delivery Time 1-3 Days
  • Response Time 1 Week
  • English Level Basic level

Description

Ideal for SEO professionals, content strategists, analysts, and researchers who need structured insight from raw web content — without the manual work.

🔹 How It Works:

✅ 🌐 URL Input – Submit any web page for analysis
✅ 🧹 Content Cleanup – Remove clutter and extract clean, readable text
✅ 🤖 Entity Detection – Use Google’s Natural Language AI to find names, brands, locations, and more
✅ 🗃️ Structured Output – Get back categorized entities with salience scores for relevance
✅ 🧠 Custom Filters – Focus only on entities you care about (e.g., people, orgs, places)

💼 Use Cases:

📈 SEO Strategy – Discover key entities behind competitor content to improve your own semantic SEO
📝 Content Intelligence – Uncover which brands, tools, and concepts are dominating in your niche
🕵️‍♀️ Competitive Research – See what companies or topics are being emphasized across industry pages
📊 Data Extraction – Turn unstructured website content into structured, usable data
📚 Academic Research – Organize digital sources into themes using real-world named entities

🧠 Why It’s Smart:

📋 AI-Level Accuracy – Goes beyond basic scraping to extract meaningful, context-aware entities
📊 Ranked Insights – Salience scores highlight what matters most on a page
⚙️ Customizable Logic – Filter by entity type, add enrichment, or layer on sentiment analysis
🔄 Repeatable Process – Works on hundreds or thousands of pages with minimal config
📥 Action-Ready Data – Outputs clean, structured results you can use for content planning or reporting

🔧 Level of Effort:

🟢 Easy – Requires one-time setup with Google API key (~10–15 minutes)

🧩 You’ll Need:

🔐 Google Cloud account with Natural Language API enabled
🧠 Google API Key (used for entity extraction)
📄 A source of URLs (web pages you want to analyze)

Link : https://preview--web-entity-insights.lovable.app/

About The Seller

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  • Member since:

    April 14, 2025
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Ref #: EX-10110

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