NoOp Automate

Used in NoOp, this automated workflow processes Telegram messages to extract interests, queries the Facebook Graph API for audience data, and generates a CSV report. It streamlines communication, enhances data collection, and simplifies sharing insights, ultimately saving time and improving decision-making.

7/8/2025
11 nodes
Complex
manualcomplexnooptelegramtriggerfacebookgraphapispreadsheetfiletelegramsticky noteadvancedcommunicationbotlogicconditionalfilesstorage
Categories:
Communication & MessagingComplex WorkflowManual Triggered
Integrations:
NoOpTelegramTriggerFacebookGraphApiSpreadsheetFileTelegramSticky Note

Target Audience

This workflow is designed for:
- Marketing Professionals: Those looking to analyze audience interests based on keywords from Telegram messages.
- Social Media Managers: Individuals managing Facebook ads who want to gather insights on audience targeting.
- Developers: Those interested in automating data extraction and processing from social media platforms.
- Data Analysts: Professionals who require structured data from unstructured inputs for analysis or reporting.

Problem Solved

This workflow addresses the challenge of effectively extracting and analyzing audience interests from messages in Telegram. By automating the process of fetching data from the Facebook Graph API based on user input, it saves time and enhances decision-making for targeted advertising strategies. It provides a streamlined method to convert raw message data into a structured format, ready for analysis or reporting.

Workflow Steps

  • Trigger: The workflow starts when a message is received in a specified Telegram group (identified by chat ID).
    2. Message Check: It checks if the message begins with #interest, indicating a request for interest data.
    3. Message Extraction: The text of the message is extracted for further processing.
    4. Message Splitting: The message is split to isolate the keyword following the # symbol and any additional content.
    5. Graph API Connection: The workflow connects to the Facebook Graph API to search for advertising interests based on the extracted keyword.
    6. Data Structuring: The response from the Graph API is structured into a table format for easier handling.
    7. Data Extraction: Key variables such as name, audience size, and description are extracted from the structured data.
    8. Spreadsheet Creation: The extracted data is compiled into a CSV file for easy sharing and analysis.
    9. File Sending: The generated spreadsheet is sent back to the Telegram chat, providing immediate access to the results.

    • Customization Guide

    To customize this workflow:
    - Change Trigger Conditions: Modify the chat ID or message prefix to adjust which messages activate the workflow.
    - Update API Parameters: Alter the Graph API query parameters to refine the search for interests based on different criteria or languages.
    - Adjust Output Format: Edit the spreadsheet generation step to change the file format or include additional data fields as needed.
    - Integrate Additional Nodes: Add more nodes for further processing or to integrate with other platforms like Google Sheets or email for expanded functionality.