Now that you’re familiar with the core concepts, individual blocks, and design principles, it’s time to put it all together! This section provides practical, step-by-step tutorials for building common types of workflows. Each tutorial will guide you through:
  • Defining a clear goal.
  • Selecting and configuring the necessary Jsonify blocks.
  • Understanding the data flow and logic.
  • Achieving a specific, real-world automation task.
These examples are designed to solidify your understanding and inspire you to create your own custom solutions.

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Available Tutorials

Below is a list of available tutorials. Click on any tutorial to view the detailed guide.
  1. Tutorial 1: Extracting Online Reviews (e.g., Trustpilot)
    • Goal: Collect user reviews for specific companies or products from a review website.
    • Key Blocks Used: Open Websites, Paginate through Listings (or handling multiple page URLs), Extract Data.
    • What you’ll learn: How to handle lists of items spread across multiple pages and structure the extracted review data (reviewer name, rating, text, date).
    • Link to Tutorial 1: Extracting Online Reviews
  2. Tutorial 2: Scraping Movie Data (e.g., Rotten Tomatoes)
    • Goal: Gather information about movies, such as titles, ratings, synopses, and critic reviews from a movie database site.
    • Key Blocks Used: Open Websites, Find Links, Follow Links, Extract Data.
    • What you’ll learn: How to navigate from a listing page to detail pages, and then extract structured information from those detail pages.
    • Link to Tutorial 2: Scraping Movie Data
  3. Tutorial 3: Turning Website Content into an FAQ
    • Goal: Analyze the content of a website (or specific pages) and generate a list of Frequently Asked Questions (FAQs) with answers.
    • Key Blocks Used: Open Websites, Explore Content, Extract Data (with generative/summarization instructions).
    • What you’ll learn: How to use AI to understand page content, identify potential questions, and formulate answers based on the text.
    • Link to Tutorial 3: Turning Website Content into an FAQ
  4. Tutorial 4: Finding Speaker/Attendee LinkedIn Profiles (e.g., Websummit)
    • Goal: From a list of event attendees or speakers, find their corresponding LinkedIn profiles.
    • Key Blocks Used: Open Websites (for initial list, potentially with pagination), Extract Data (to get names), Search on Google (using names to find LinkedIn profiles), Find Links, Follow Links, Extract Data (from LinkedIn profiles).
    • What you’ll learn: A more complex workflow involving multiple data sources, dynamic searching, and handling variations in search results.
    • Link to Tutorial 4: Finding LinkedIn Profiles
  5. Tutorial 5: Landing Page SEO Analyzer
    • Goal: Analyze a list of landing pages (e.g., from Google search results for a specific query) for basic SEO and content elements.
    • Key Blocks Used: Timer (optional, for scheduling), Search on Google, Find Links, Follow Links, Extract Data (with generative analysis instructions).
    • What you’ll learn: How to schedule workflows, process search results, and instruct the AI to perform an analytical task (like basic SEO analysis) on webpage content.
    • Link to Tutorial 5: Landing Page SEO Analyzer
  6. Tutorial 6: Handling Diverse Website Structures with Multi-Level Workflows
    • Goal: Scrape product data from a list of websites where some use standard link navigation and others use JavaScript-based navigation, merging the results into a single list.
    • Key Blocks Used: Open datasets, Layout menu (Add new row, Link actions), Find Links, Follow Links, Open sub-pages, Extract Data.
    • What you’ll learn: How to build parallel execution rows, handle different automation scenarios within a single workflow, and link branches to merge data into a unified output.
    • Link to Tutorial 6: Handling Diverse Website Structures
(More tutorials will be added over time. If you have a specific use case you’d like to see covered, please let us know!) We encourage you to work through these tutorials to gain hands-on experience. Feel free to adapt them to your own projects.