trigger-chains Scenario 4 — Scrape Social Posts → AI Sentiment → Database → Alert

Written by RTILA X Engineering Team

Intermediate ~6 min

Prerequisites: trigger-chains/1 trigger-chains/2

What You'll Learn

Handle errors across trigger chains

Real-World Use Case

Ensuring data integrity in multi-step pipelines

LIVE DEMO

Sentiment Analysis Pipeline

Positive: 3

Negative: 2

Neutral: 1

EXPECTED OUTPUT

RTILA X PROJECT JSON

    {
  "name": "Scrape_Social_Posts",
  "settings": {
    "urls": [
      "https://learn.rtila.com/scenarios/trigger-chains/4"
    ]
  },
  "datasets": {
    "social_posts": {
      "item_selector": "css=.sentiment-post",
      "properties": [
        {
          "name": "post_text",
          "type": "text",
          "selector": "css=.post-text"
        },
        {
          "name": "sentiment",
          "type": "attribute",
          "selector": "css=.sentiment-label",
          "attribute": "data-sentiment"
        }
      ]
    }
  },
  "commands": [
    {
      "command": "wait_for_selector",
      "params": {
        "selector": "css=.sentiment-post"
      }
    },
    {
      "command": "extract_data",
      "params": {
        "dataset": "social_posts"
      }
    }
  ]
}

Trigger Chain Configuration

ai_completion — classifies each post as positive, negative, or neutral.
database_insert — saves the classified posts to a database.
alert — sends an alert when negative posts are detected.

Trigger chains are configured in the RTILA X UI, not via project JSON. The AI assistant can discuss them but cannot generate trigger chain configurations.

AI sentiment analysis transforms raw social text into structured categories. A trigger chain can store the analysis and notify teams when negative sentiment appears.

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Copy the project JSON above, open RTILA X, create a new project, and paste it.

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This scenario covers 2 RTILA X commands and is referenced in 2 learning articles.

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