Webbye

Tutorial

Learn how to extract data from any web page, transform it with AI, and export results.

Extension Features

15 credits for extraction operation and 20 credits for chating with AI.

🚀

Quick Extraction

Extract data from any webpage in seconds with our intelligent scraper.

  • Simply paste any website URL
  • Click "Extract Data" and wait for processing
  • Get structured data in Markdown or HTML format
  • Export to CSV, JSON, or keep as Markdown
⚙️

Advanced Extraction

Configure complex extractions with pre-built templates and custom selectors.

  • Use pre-configured templates for common data types
  • Extract contacts, product information, or custom data
  • Define what you need in natural language
  • No technical knowledge required
📦

Bulk & Explore

Process multiple pages or explore websites at scale.

  • Mass exploration of multiple URLs
  • Bulk extraction from similar pages
  • Crawl through website sections
  • Perfect for lead generation and research
📊

Results & Export

Review, organize and export your extracted data.

  • View all extraction results in one place
  • Filter and search through your data
  • Export to multiple formats (CSV, JSON, Markdown)
  • Download charts and visualizations as PNG

Video Demonstration

Complete Webbye Extension Walkthrough

Watch this step-by-step demonstration to see all features of Webbye in action - from quick extraction to AI analysis and data export.

AI Analysis & Insights

User Guide – How to craft effective AI prompts for generating tables and charts

1. Be specific about the expected output type

➡ Bad prompt:

Give me a table about sales.

➡ Good prompt:

Create a table with 3 columns: Month, Product, Revenue. Include 12 rows (January to December) and fill with realistic fictional values in dollars.

2. Define the column structure

  • Specify column headers.
  • Define the expected data type (numbers, percentage, text, date).

Example:

Create a table with 4 columns: Country (text), Population (millions), GDP/capita (USD), Growth (%).

3. Request the final format

  • Markdown Table (readable directly in the extension).
  • CSV (easy to export to Excel or Power BI).
  • Chart (bar, pie, line, etc.).

Example:

Give me the data in CSV format with `;` separator.

Chart example:

Create a bar chart comparing the population of 5 European countries.

4. Provide sample data if needed

If you already have partial data, give it to the AI for completion, cleaning, or transformation.

Example:

Here's my raw data (copy-paste) → clean it and create a table with only Name, Age, City columns.

5. Specify the level of detail

  • Global summary (e.g., totals, averages).
  • Line-by-line detail (e.g., individual transactions).

Example:

Give me a sales summary by region with total and average.

6. Think about associated charts

Once the table is created, you can request a visualization:

  • Bar chart
  • Pie chart
  • Line chart
  • Histogram

Example:

With this table, generate a pie chart showing each product's share of total revenue.

7. Combine tables + charts

➡ Prompt:

Create a table with monthly sales (Jan-Dec), then make a line chart to visualize the trend.

🎯 Quick Summary (user checklist)

✅ Always specify the output type (table, CSV, chart).

✅ Clearly name the columns.

✅ Define the format (Markdown, CSV, JSON).

✅ Indicate if you want a chart and which type.

✅ Provide an example or raw dataset if available.

Ready to Get Started?

Install the Webbye extension and start extracting data in minutes.

Install Extension

Need help? Contact support at support-webbye@contrasteltd.com