DATA EXTRACTION & WEB SCRAPING

Extract Data Without Writing Code

Tell BrowserVision what data you need from any website. AI understands page structure visually, extracts information automatically, and delivers it in your preferred format. No scraping code. No maintenance.

Start Extracting

Traditional: Days of development → BrowserVision: Minutes

Web Scraping Doesn't Have to Be Hard

Stop wrestling with CSS selectors and DOM parsing

Traditional Scraping

                        soup.find_all('div',
class_='product-card'
)[0].find('span',
class_='price-new'
).text.strip()
                    

Brittle selectors break constantly
Can't handle dynamic JavaScript content
Manual pagination logic required
Requires programming expertise
High maintenance overhead

❌ Breaks on every redesign

BrowserVision Extraction

                        "Extract all product names and prices from this page"
                    

Understands page structure visually
Handles JavaScript & dynamic content
Automatic pagination support
No coding required
Zero maintenance

✅ Works even after redesigns

Why BrowserVision for Data Extraction

Visual

AI Understands Structure

Identifies tables, lists, cards, and data patterns visually without needing to know HTML structure. Works on any website layout.

Example

"Find all prices on this page" - AI locates them regardless of HTML tags or classes

Dynamic

Handles JavaScript Sites

Works with modern SPAs, React apps, and dynamically loaded content. Waits for content to load, scrolls infinite feeds, handles lazy loading automatically.

Handles

SPAs • Infinite scroll • Lazy load • AJAX • Dynamic content

Pagination

Multi-Page Extraction

Automatically follows pagination, "Load More" buttons, and infinite scroll. Extracts data across hundreds of pages without manual logic.

Example

"Extract all products from pages 1-50" - handles any pagination style

Structured

Clean Data Output

Returns data in structured formats: JSON, CSV, Excel, or directly to your database. Clean, normalized data ready for analysis.

Formats

JSON • CSV • Excel • SQL • API webhook

Scheduled

Automated Collection

Schedule extractions to run hourly, daily, or on-demand. Build automated data pipelines without maintaining infrastructure.

Frequency

Hourly • Daily • Weekly • On-demand • Triggered

Intelligent

Context-Aware Extraction

Understands relationships between data points. Extracts product names with their prices, reviews with ratings, authors with posts.

Relations

Product → Price • Review → Rating • Author → Posts

Real Extraction Scenarios

See what you can extract with simple commands

E-Commerce Price Monitoring

                        Go to amazon.com and search for "wireless headphones"

                        Extract from the first 50 results:

                        - Product name

                        - Current price

                        - Original price (if on sale)

                        - Rating (stars)

                        - Number of reviews

                        - Prime availability

                        Save to CSV with timestamp

Use Case: Track competitor pricing, find deals, monitor market trends. Run daily to build historical price database.

Lead Generation

                        Navigate to LinkedIn Sales Navigator search results

                        For each company in results (pages 1-10):

                        - Company name

                        - Industry

                        - Company size

                        - Location

                        - Recent posts/activity

                        Export to Excel with contact enrichment

Use Case: Build prospecting lists, research target accounts, gather company intelligence for sales outreach.

Real Estate Data Collection

                        Go to Zillow and search "San Francisco condos for sale"

                        Extract all listings (handle pagination):

                        - Address

                        - Price

                        - Bedrooms/bathrooms

                        - Square footage

                        - Days on market

                        - Property URL

                        Save to database with geolocation

Use Case: Market analysis, investment research, portfolio monitoring, price trend analysis.

Job Market Intelligence

                        Search Indeed for "Senior Software Engineer Remote"

                        Extract from all search results:

                        - Job title

                        - Company name

                        - Location (remote/hybrid/onsite)

                        - Salary range

                        - Required skills

                        - Posted date

                        Analyze salary trends and skill demand

Use Case: Competitive salary analysis, skill trend tracking, talent market research, recruitment planning.

vs Traditional Scraping Tools

Feature	BeautifulSoup/Scrapy	BrowserVision
Setup Time	❌ Hours-days per site	✅ Minutes per site
Coding Required	❌ Python expertise needed	✅ Plain English commands
JavaScript Sites	⚠️ Requires Selenium/Playwright	✅ Built-in support
Maintenance	❌ Constant selector updates	✅ Zero maintenance
Pagination	⚠️ Manual logic per site	✅ Automatic handling
Data Cleaning	⚠️ Manual post-processing	✅ Clean structured output

Industries Using BrowserVision

E-Commerce

Competitive price monitoring
Product catalog updates
Inventory availability tracking
Market basket analysis

Real Estate

Listing aggregation
Price trend analysis
Market intelligence
Investment research

Financial Services

Market data collection
News sentiment analysis
Regulatory compliance data
Alternative data sources

Recruitment

Job posting aggregation
Salary benchmarking
Candidate sourcing
Skills trend analysis

Marketing Agencies

Lead generation
Competitor analysis
Social media monitoring
Content aggregation

Research & Analytics

Academic data collection
Survey responses
Public records gathering
Dataset creation