Rss To Json Extractor

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📰 Convert RSS and Atom feeds into structured JSON format for easy integration with your applications. Fast, reliable, and production-ready.

📺 What It Extracts

• Feed Metadata: Title, description, link, language, last build date
• Article Data: Title, link, publication date, content, description, author
• Content Organization: Categories, tags, GUID identifiers
• Timestamps: Both human-readable and ISO 8601 formatted dates

🚀 Key Features

📥 Input

Required

• rssUrl (string): The URL of the RSS/Atom feed to extract
  • Example: "https://example.com/feed.xml"
  • Supports RSS 2.0, Atom, and other standard feed formats

📤 Output

Returns structured feed data:

Feed Metadata

{
"feed":{
"title":"Example Blog",
"description":"A sample blog feed",
"link":"https://example.com",
"language":"en",
"lastBuildDate":"Mon, 01 Jan 2024 12:00:00 GMT"
}
}

Articles Array

{
"articles":[
{
"title":"Sample Article",
"link":"https://example.com/article",
"pubDate":"Mon, 01 Jan 2024 10:00:00 GMT",
"isoDate":"2024-01-01T10:00:00.000Z",
"content":"Article content...",
"description":"Article description",
"author":"John Doe",
"categories":["tech","programming"],
"guid":"article-123"
}
],
"totalArticles":1
}

Complete Output

{
"feed":{/* feed metadata */},
"articles":[/* array of articles */],
"totalArticles":1,
"_metadata":{
"runId":"abc123",
"actorId":"user/rss-to-json",
"processedAt":"2024-01-01T12:00:00.000Z",
"processingTimeMs":1234,
"rssUrl":"https://example.com/feed.xml"
}
}

💡 Use Cases

• ✅ News Dashboards - Aggregate content from multiple RSS feeds
• ✅ Curated Newsletters - Collect articles for email newsletters
• ✅ SEO Monitoring - Track content updates and new publications
• ✅ Content Aggregation - Build content databases from RSS sources
• ✅ Social Media Automation - Extract content for automated posting
• ✅ Research & Analysis - Collect articles for content analysis

⚙️ Technical Details

• Feed Parser: Uses rss-parser library for robust feed parsing
• Timeout Strategy: 30-second timeout with 5 redirect maximum
• Error Handling: Comprehensive error logging with structured metadata
• Storage: Summary stored in Key-Value Store OUTPUT key
• Dataset Integration: All articles pushed to default dataset

🔗 Integration

Webhooks

Configure webhooks in Apify to trigger on:

• Run succeeded: Get summary from key-value store OUTPUT
• Run failed: Error details in OUTPUT key

Key-Value Store

• OUTPUT: Contains run summary with success status, article count, and metadata

Dataset

All extracted articles are pushed to the default dataset. Access via:

• Apify API: GET /v2/datasets/{datasetId}/items
• Webhook payload: Includes dataset ID in run metadata

📝 Example Usage

Basic Extraction

{
"rssUrl":"https://example.com/feed.xml"
}

Popular RSS Feeds

{
"rssUrl":"https://feeds.bbci.co.uk/news/rss.xml"
}