RivalSearchMCP

# Content Extraction **How to pull information from websites and articles** This guide shows you how to use RivalSearchMCP to extract, read, and analyze content from web pages, articles, and documents. ## What Content Extraction Does Instead of your AI saying "I can't read that website," it will: - Read full articles and web pages - Extract key information and data - Summarize long content - Pull structured data from tables and lists - Process images and documents ## Basic Content Extraction ### Read a Web Page **Ask your AI:** "Read this article about climate change and summarize the key points" **What happens:** - Your AI visits the webpage - Extracts the full content - Identifies the main points - Provides a concise summary - Includes source information ### Extract Specific Information **Ask your AI:** "Get the contact information from this company's website" **What happens:** - Reads the entire website - Finds contact details - Extracts phone numbers, emails, addresses - Organizes the information clearly ### Pull Data from Tables **Ask your AI:** "Extract the pricing information from this product comparison table" **What happens:** - Identifies tables on the page - Extracts structured data - Organizes prices and features - Makes comparisons easy to understand ## Advanced Content Extraction ### Multi-Page Extraction **Ask your AI:** "Read all the blog posts on this website and give me a summary of the main topics" **What happens:** - Explores the website structure - Reads multiple pages - Identifies common themes - Provides comprehensive overview ### Document Processing **Ask your AI:** "Read this PDF report and extract the key findings" **What happens:** - Processes the document - Identifies important sections - Extracts key data points - Summarizes main conclusions ### Image Content **Ask your AI:** "What information is shown in this infographic about renewable energy?" **What happens:** - Analyzes the image content - Extracts text and data - Identifies charts and graphs - Provides insights from visual data ## Content Types You Can Extract ### Articles and Blog Posts - **News articles** - Current events and breaking news - **Blog posts** - Opinions and analysis - **Research papers** - Academic and scientific content - **Product reviews** - Consumer feedback and ratings ### Business Information - **Company websites** - About pages, services, contact info - **Financial reports** - Earnings, revenue, growth data - **Job postings** - Requirements, salaries, company culture - **Press releases** - Company announcements and news ### Data and Statistics - **Tables and charts** - Numerical data and comparisons - **Infographics** - Visual data and statistics - **Reports** - Research findings and analysis - **Databases** - Structured information and records ### Social Media Content - **Social posts** - Updates and announcements - **Comments** - User feedback and discussions - **Profiles** - User information and preferences - **Trends** - Popular topics and hashtags ## Getting Better Extraction Results ### Be Specific About What You Want ❌ **Vague:** "Read this website" ✅ **Specific:** "Extract the pricing plans and features from this SaaS website" ### Specify the Format ❌ **Unclear:** "Get information about renewable energy" ✅ **Clear:** "Extract renewable energy statistics and present them in a table format" ### Request Analysis ❌ **Basic:** "Read this article" ✅ **Analytical:** "Read this article and identify the three main arguments, then evaluate their strength" ### Ask for Multiple Sources ❌ **Single source:** "Extract data from this report" ✅ **Multiple sources:** "Extract renewable energy data from these three reports and compare them" ## Common Extraction Use Cases ### Research and Analysis - "Extract key findings from this research paper" - "Read these three articles and identify common themes" - "Extract data from this industry report" ### Business Intelligence - "Get pricing information from competitor websites" - "Extract contact information from this business directory" - "Read this earnings report and summarize the key metrics" ### Content Creation - "Extract the main points from this article for my blog post" - "Get statistics from this report for my presentation" - "Read these reviews and identify common complaints" ### Data Collection - "Extract product information from this e-commerce site" - "Get contact details from this company directory" - "Extract data from these tables for my spreadsheet" ## Troubleshooting ### "Can't access the website" - Check if the URL is correct - Try a different approach or source - Some sites may block automated access ### "Content seems incomplete" - Ask for the full content - Request specific sections - Try extracting different parts ### "Too much information" - Ask for specific sections - Request summaries instead of full content - Focus on particular data points ## Pro Tips ### Combine with Other Tools - **Extract + Analyze:** "Extract this article and analyze the main arguments" - **Extract + Research:** "Extract data from this report and research related trends" - **Extract + Compare:** "Extract pricing from multiple sites and compare them" ### Save Time - Ask for summaries instead of full content - Request specific information upfront - Use extraction for data you need repeatedly ### Verify Information - Extract from multiple sources - Cross-reference data points - Ask for source verification ## Examples ### Example 1: Article Analysis **You ask:** "Read this article about AI ethics and identify the three main concerns" **Your AI will:** 1. Extract the full article content 2. Identify the main ethical concerns 3. Provide specific examples from the text 4. Summarize the key arguments ### Example 2: Data Extraction **You ask:** "Extract the quarterly revenue data from this earnings report" **Your AI will:** 1. Read the full earnings report 2. Find revenue tables and charts 3. Extract quarterly numbers 4. Present data in organized format ### Example 3: Website Research **You ask:** "Explore this company's website and extract their services and pricing" **Your AI will:** 1. Navigate through the website 2. Read multiple pages 3. Extract service descriptions 4. Find pricing information 5. Organize everything clearly ## Next Steps - [Website Analysis](website-analysis.md) - Learn how to explore and map websites - [Content Analysis](content-analysis.md) - Understand how to analyze and summarize content - [Research Workflows](research-workflows.md) - Combine multiple tools for comprehensive research --- **Ready to extract?** Ask your AI assistant to read and analyze any website or document!