SummaryXL

This integration reads any dataset and generates a comprehensive 2000-word summary using AI. The summary captures the main themes, key points, and important details from your data. Perfect for quickly understanding large datasets without manual analysis.

For a complete tutorial on using SummaryXL to analyse Reddit comments in bulk, click here.

Features

• AI-powered summarization using GPT-4o-mini
• Customizable summary length (100-2000 words)
• Topic-focused summarization
• Token usage and cost tracking
• PDF export with markdown formatting
• Optional email delivery

How It Works

1. Input: Your Apify actor collects data into a dataset
2. Processing: We read the dataset content as plain text
3. Summary: AI generates a detailed 2000-word summary
4. Output: Get the summary directly in your Apify storage

Benefits

• Quick Understanding: Get key insights from large datasets
• Plain Text Processing: No complex data formatting needed
• Integration: Works with any Apify actor
• Automation: Set up once, get summaries automatically

Perfect For

• Market Researchers
• Content Analysts
• Social Media Managers
• Data Scientists
• Business Intelligence
• Anyone working with scraped data

Input Parameters

Parameter	Type	Required	Default	Description
datasetId	string	No	-	Dataset ID for testing. When used as integration, dataset ID is handled automatically
openaiApiKey	string	Yes	-	Your OpenAI API key for generating summaries
summaryLength	integer	No	1000	Length of summary in words (100-2000)
focusTopic	string	No	-	Optional topic to focus the summary on
targetEmail	string	No	-	Email address to send the summary to (requires EMAIL_SUPPORT=true)

Output Formats

The actor provides output in multiple formats:

1. Dataset Record

1{
2    "summary": "The AI-generated summary text...",
3    "tokenUsage": {
4        "promptTokens": 1234,
5        "completionTokens": 567,
6        "totalTokens": 1801
7    },
8    "costs": {
9        "promptCost": 0.001234,
10        "completionCost": 0.000567,
11        "totalCost": 0.001801
12    }
13}

2. PDF Output

• Stored in key-value store as 'OUTPUT'
• Includes markdown formatting
• Accessible via Apify console

3. Email Delivery (Optional)

• Sends summary in both HTML and plain text formats
• Requires EMAIL_SUPPORT=true and targetEmail parameter

Getting Started

1. Add the integration to your Actor (e.g., Reddit, Twitter)
2. In Dataset ID, enter "{{resource.defaultDatasetId}}"
3. Run your preferred Apify actor and wait for it to finish
4. Get your summary from the actor's output

Usage Examples

As Integration (Recommended)

1{
2    "openaiApiKey": "your-openai-api-key",
3    "summaryLength": 1500,
4    "focusTopic": "pricing trends"
5}

For Testing

1{
2    "datasetId": "your-dataset-id",
3    "openaiApiKey": "your-openai-api-key",
4    "summaryLength": 1000
5}

With Email Delivery

1{
2    "openaiApiKey": "your-openai-api-key",
3    "targetEmail": "user@example.com",
4    "focusTopic": "customer feedback"
5}

Environment Variables

• EMAIL_SUPPORT: Enable/disable email functionality (default: true)
• MAX_PARALLEL_REQUESTS: Control parallel API requests (default: 10)
• PROMPT_TOKEN_COST: Cost per 1M prompt tokens (default: 0.150)
• COMPLETION_TOKEN_COST: Cost per 1M completion tokens (default: 0.075)