🕷️Web Scraping•In Google Sheets
Scrape Any Website from Google Sheets
Extract data from Amazon, LinkedIn, Zillow, and any website — directly into your spreadsheet. AI-powered scraping with simple formulas. No coding required.
web-scraper.gsheet
| A | B | C | |
|---|---|---|---|
| 1 | URL | Formula | Scraped Data |
| 2 | amazon.com/dp/B08N5W | | — |
| 3 | linkedin.com/in/johndoe | =AI_SCRAPE(A3, "name, title, company") | John Doe | VP Sales | Tech |
| 4 | zillow.com/homedetails | =AI_SCRAPE(A4, "price, beds, sqft") | $525K | 3bd | 2,100 sqft |
Why Scraping?
Turn any website into your database
Monitor competitors, generate leads, track prices, research content — all automatically updated in your spreadsheet.
🤖
AI-Powered Extraction
Describe what you want in plain English. Our AI finds and extracts it automatically — no CSS selectors needed.
🎯
Multiple Methods
Choose from AI scraping, CSS selectors, XPath, or regex patterns based on your technical comfort level.
⚡
Real-Time Data
Pull live data from any website directly into your spreadsheet. Always up-to-date pricing, inventory, and content.
📊
Batch Processing
Scrape hundreds of URLs at once. Fill down the formula and watch data populate automatically.
✨
No Coding Required
Simple formulas anyone can use. AI scraping works with natural language — just describe what you need.
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Structured Output
Get data back as clean tables ready for analysis. Perfect for price monitoring, lead gen, and research.
Methods
Choose your scraping method
| Method | Difficulty | Flexibility | Best For |
|---|---|---|---|
AI_SCRAPERecommendedDescribe what you want in plain English. AI finds and extracts it. | Easy | Best | Complex layouts, dynamic content |
scrapeByCssPathPreciseUse CSS selectors to target specific elements. Fast and reliable. | Medium | Good | Static sites, known structure |
scrapeByXPathAdvancedXPath expressions for complex element targeting. | Hard | Excellent | Complex XML/HTML structures |
scrapeByRegexPattern MatchingExtract data using regex patterns. Great for specific formats. | Medium | Good | Emails, phones, structured text |
Examples
Scraping in action
Real formulas for real use cases. Copy, paste, and start scraping in seconds.
E-commerce Scraping•Scrape Amazon Product Data
Formula
=AI_SCRAPE(A1, "Extract product title, price, rating, number of reviews, and availability")Input (URL)
https://www.amazon.com/dp/B08N5WRWNW
Scraped Output
AUTO2D Array2 rows × 5 cols
| [0] | Product Title | Price | Rating | Reviews | Availability |
| [1] | Echo Dot (4th Gen) | $49.99 | 4.7 | 328,456 | In Stock |
Use case: scraping amazon from google sheets
Price Monitoring•Monitor Competitor Prices
Formula
=AI_SCRAPE(A1, "Get product name and current price")Input (URL)
https://www.bestbuy.com/site/sony-wh-1000xm5/6505727.p
Scraped Output
AUTO2D Array2 rows × 2 cols
| [0] | Product | Price |
| [1] | Sony WH-1000XM5 Headphones | $399.99 |
Use case: scrape prices from website google sheets
Lead Generation•Extract Contact Information
Formula
=AI_SCRAPE(A1, "Find email address, phone number, and company name")Input (URL)
https://www.example-company.com/contact
Scraped Output
AUTO2D Array2 rows × 3 cols
| [0] | Phone | Company | |
| [1] | contact@example-company.com | (555) 123-4567 | Example Company Inc |
Use case: scrape contact info from websites
Content Research•Scrape Article Metadata
Formula
=AI_SCRAPE(A1, "Extract article title, author, publish date, and reading time")Input (URL)
https://www.techcrunch.com/article/sample
Scraped Output
AUTO2D Array2 rows × 4 cols
| [0] | Title | Author | Date | Reading Time |
| [1] | The Future of AI | John Smith | 2024-01-15 | 8 min read |
Use case: scrape article data google sheets
Real Estate•Scrape Property Listings
Formula
=AI_SCRAPE(A1, "Get property address, price, bedrooms, bathrooms, and square footage")Input (URL)
https://www.zillow.com/homedetails/123-main-st
Scraped Output
AUTO2D Array2 rows × 5 cols
| [0] | Address | Price | Beds | Baths | Sq Ft |
| [1] | 123 Main St, Austin TX | $525,000 | 3 | 2.5 | 2,100 |
Use case: scrape zillow data google sheets
Social Media•Extract LinkedIn Profile Data
Formula
=AI_SCRAPE(A1, "Get name, job title, company, and location")Input (URL)
https://www.linkedin.com/in/sample-profile
Scraped Output
AUTO2D Array2 rows × 4 cols
| [0] | Name | Title | Company | Location |
| [1] | Jane Doe | VP of Marketing | Tech Corp | San Francisco, CA |
Use case: scrape linkedin google sheets
CSS Selector•Scrape with CSS Selector (Advanced)
Formula
=scrapeByCssPath(A1, "h1.product-title")Input (URL)
https://www.example-store.com/product/123
Scraped Output
AUTOPremium Wireless Headphones - Noise CancellingUse case: css selector scraping google sheets
Regex Pattern•Extract Emails with Regex
Formula
=scrapeByRegex(A1, "[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}")Input (URL)
https://www.example.com/about
Scraped Output
AUTOcontact@example.comUse case: regex scraping google sheets
Real-World Use Cases
From raw URLs to actionable insights
See how teams use web scraping to automate research, monitor competitors, and generate leads.
Competitive Price Intelligence Dashboard
Monitor competitor prices across multiple retailers in real-time
Formula
=AI_SCRAPE(A2, "Extract product name, current price, original price if on sale, and availability status")INPUTYour URLs
| Product | Your Store URLs |
|---|---|
| Sony WH-1000XM5 | https://www.amazon.com/sony-xm5, https://www.bestbuy.com/sony-xm5, https://www.target.com/sony-xm5 |
| Apple AirPods Pro | https://www.amazon.com/airpods-pro, https://www.bestbuy.com/airpods-pro, https://www.walmart.com/airpods-pro |
| Bose QC45 | https://www.amazon.com/bose-qc45, https://www.bestbuy.com/bose-qc45, https://www.target.com/bose-qc45 |
SCRAPED DATAAuto-extracted
📊 COMPETITIVE PRICING DASHBOARD
SONY WH-1000XM5:
• Amazon: $349.99 (was $399.99) ✓ In Stock
• Best Buy: $399.99 ✓ In Stock
• Target: $379.99 ✓ In Stock
→ INSIGHT: Amazon 13% cheaper - adjust pricing or match
APPLE AIRPODS PRO (2nd Gen):
• Amazon: $199.99 (was $249.99) ✓ In Stock
• Best Buy: $249.99 ✓ In Stock
• Walmart: $199.00 ✓ In Stock
→ INSIGHT: Walmart lowest - major sale active
BOSE QC45:
• Amazon: $279.00 (was $329.00) ✓ In Stock
• Best Buy: $329.00 ⚠️ Low Stock
• Target: $299.99 ✓ In Stock
→ INSIGHT: Best Buy inventory issue = opportunity
🎯 STRATEGIC RECOMMENDATIONS:
1. Price match Amazon on Sony (-$50)
2. Promote AirPods Pro bundle while competitors on sale
3. Target Bose inventory gap at Best Buy
4. Set up daily price monitoring alerts
Lead Generation Pipeline Builder
Build targeted prospect lists by scraping company websites
Formula
=AI_SCRAPE(B2, "Extract company name, industry, employee count estimate, main contact email, and headquarters location")INPUTYour URLs
| Company | Website URL |
|---|---|
| Prospect 1 | https://www.acme-corp.com |
| Prospect 2 | https://www.techstart-io.com |
| Prospect 3 | https://www.financeplus.com |
| Prospect 4 | https://www.healthtech-solutions.com |
SCRAPED DATAAuto-extracted
🎯 LEAD INTELLIGENCE REPORT
PROSPECT 1: Acme Corp
📍 Location: Chicago, IL
🏢 Industry: Manufacturing
👥 Size: ~500-1000 employees
📧 Contact: sales@acme-corp.com
💡 Score: 85/100 (Mid-market, high intent)
PROSPECT 2: TechStart.io
📍 Location: Austin, TX
🏢 Industry: SaaS / Developer Tools
👥 Size: ~50-100 employees
📧 Contact: hello@techstart-io.com
💡 Score: 72/100 (Startup, budget aware)
PROSPECT 3: FinancePlus
📍 Location: New York, NY
🏢 Industry: Financial Services
👥 Size: ~2000+ employees
📧 Contact: partnerships@financeplus.com
💡 Score: 91/100 (Enterprise, strong fit)
PROSPECT 4: HealthTech Solutions
📍 Location: Boston, MA
🏢 Industry: Healthcare Technology
👥 Size: ~200-500 employees
📧 Contact: bizdev@healthtech-solutions.com
💡 Score: 88/100 (Growth stage, ideal ICP)
📈 PIPELINE SUMMARY:
• Total Leads: 4
• Enterprise (1000+ emp): 1 (25%)
• Mid-Market (100-1000): 2 (50%)
• SMB (<100): 1 (25%)
• Avg Lead Score: 84/100
🎯 NEXT ACTIONS:
1. Priority: Contact FinancePlus (Enterprise)
2. Custom pitch for HealthTech (Healthcare vertical)
3. Product-led approach for TechStart (Developer tools)
4. Mid-market package for Acme Corp
Content Aggregation & Research
Automatically gather and analyze content from multiple sources
Formula
=AI_SCRAPE(A2, "Extract article headline, author, publish date, main topic/category, and key takeaway in one sentence")INPUTYour URLs
| Source | Article URL |
|---|---|
| TechCrunch | https://techcrunch.com/ai-startup-funding |
| VentureBeat | https://venturebeat.com/enterprise-ai-trends |
| The Verge | https://theverge.com/ai-regulation-update |
| Forbes | https://forbes.com/ai-business-adoption |
SCRAPED DATAAuto-extracted
📰 CONTENT RESEARCH DIGEST
ARTICLE 1 - TechCrunch
📰 Headline: "AI Startups Raise Record $27B in Q4 2024"
✍️ Author: Sarah Chen
📅 Published: Jan 10, 2025
🏷️ Category: Venture Capital / AI
💡 Key Takeaway: Enterprise AI companies dominate funding with average deal size up 3x YoY
ARTICLE 2 - VentureBeat
📰 Headline: "Enterprise AI Adoption Hits 67% in Fortune 500"
✍️ Author: Michael Torres
📅 Published: Jan 8, 2025
🏷️ Category: Enterprise Technology
💡 Key Takeaway: AI ROI now measured in weeks not months; deployment velocity accelerating
ARTICLE 3 - The Verge
📰 Headline: "EU Finalizes AI Act Implementation Timeline"
✍️ Author: Emma Rodriguez
📅 Published: Jan 7, 2025
🏷️ Category: Regulation / Policy
💡 Key Takeaway: High-risk AI systems face compliance deadlines starting Q3 2025
ARTICLE 4 - Forbes
📰 Headline: "How SMBs Are Winning with AI-First Strategies"
✍️ Author: David Park
📅 Published: Jan 5, 2025
🏷️ Category: Business Strategy
💡 Key Takeaway: Small businesses using AI see 40% productivity gains vs traditional software
🔍 TREND ANALYSIS:
• Hot Topic: Enterprise AI adoption & ROI
• Funding: Record high ($27B Q4)
• Regulation: EU implementation timeline set
• SMB Opportunity: 40% productivity gains proven
📝 CONTENT OPPORTUNITIES:
1. "AI ROI Calculator for Enterprise" (trending)
2. "EU AI Act Compliance Checklist" (timely)
3. "SMB AI Playbook" (underserved audience)
4. "Q4 2024 AI Funding Breakdown" (data-driven)
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