Practical Tutorials
Follow step-by-step examples to build real-world automations with Jsonify.
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.
Available Tutorials
Below is a list of available tutorials. Click on any tutorial to view the detailed guide.
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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
-
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
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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
-
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
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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
-
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.