LangChain Automate

LangChain Automate streamlines web crawling to extract social media profile links from specified websites. This manual-triggered workflow integrates with Supabase to retrieve company data, processes HTML content into Markdown, and aggregates results into a unified JSON format. With 38 nodes, it efficiently navigates through multiple URLs, ensuring accurate data collection while eliminating duplicates and invalid links.

7/8/2025
38 nodes
Complex
manualcomplexlangchainsupabasemarkdownsticky notesplitoutremoveduplicatesfilteraggregateadvancedapiintegration
Categories:
Complex WorkflowManual Triggered
Integrations:
LangChainSupabaseMarkdownSticky NoteSplitOutRemoveDuplicatesFilterAggregate

Target Audience

This workflow is ideal for:
- Digital Marketers: Professionals looking to gather social media links from company websites to enhance their marketing strategies.
- Data Analysts: Individuals who need to extract and analyze data from multiple websites for research or reporting purposes.
- Web Developers: Developers seeking to automate the process of retrieving information from websites to integrate into their applications.
- Business Owners: Entrepreneurs who want to gather competitive intelligence by understanding the social media presence of similar businesses.

Problem Solved

This workflow addresses the challenge of manually collecting social media profile links from various company websites, which can be time-consuming and prone to errors. By automating this process, users can efficiently gather accurate data, saving time and resources while ensuring comprehensive coverage of relevant social media platforms.

Workflow Steps

  • Manual Trigger: Initiates the workflow when the user decides to start the process.
    2. Get Companies: Retrieves a list of companies from a Supabase database, focusing on their names and websites.
    3. Set Parameters: Maps the company name and website for further processing.
    4. Crawl Website: Utilizes an AI agent to extract social media profile URLs from the specified websites.
    5. Process URLs: Extracts and filters the URLs to eliminate duplicates and invalid links.
    6. Convert HTML to Markdown: Transforms the retrieved HTML content into a Markdown format for easier readability.
    7. Merge Data: Combines the extracted social media data with the company information.
    8. Insert into Database: Saves the gathered data back into the Supabase database for future access and analysis.

    • Customization Guide

    Users can customize this workflow by:
    - Modifying the Data Source: Change the Supabase table or integrate other databases to retrieve different sets of companies.
    - Adjusting the Extraction Logic: Update the CSS selectors in the URL extraction nodes to target specific elements on the websites.
    - Changing the Output Format: Alter the JSON schema in the output parser to match the desired data structure for their specific use case.
    - Tuning the AI Parameters: Adjust the AI model settings, such as temperature and response format, to refine the output based on user preferences.