Multilingual RSS to WordPress Publisher AI

What This Agent Does

This powerful automation agent transforms RSS news feeds into multilingual WordPress articles with AI-generated featured images. It monitors RSS feeds for new content, scrapes the full article, rewrites it professionally, translates it into multiple languages, generates a custom featured image, and publishes everything to your WordPress site—completely hands-free.

Key benefits include:

• Save 3-5 hours per article on manual translation and content adaptation
• Expand your global reach by automatically publishing in multiple languages
• Maintain consistent quality with AI-powered rewriting and professional translation
• Enhance visual appeal with automatically generated, contextually relevant featured images
• Never miss breaking news with continuous RSS monitoring

Perfect use cases: International news sites, multilingual blogs, content aggregation platforms, media monitoring services, and any publication targeting diverse language audiences.

Who Is It For

This workflow is ideal for:

• Content publishers and bloggers who want to reach international audiences without hiring translators
• News aggregators who need to republish and adapt content from multiple sources
• Marketing teams managing multilingual content strategies across different regions
• Media monitoring services that track and republish industry news in multiple languages
• Digital agencies managing content for clients in different markets
• Solo entrepreneurs looking to scale their content production without additional staff

You should have basic familiarity with RSS feeds, WordPress, and API concepts. No coding experience is required, but understanding how data flows between systems will help you customize the workflow.

Required Integrations

RSS Integration

Why it's needed: This integration monitors your chosen RSS feeds and triggers the workflow whenever new articles are published, ensuring your site always has fresh content.

Setup steps:

1. Navigate to Integrations in your TaskAGI dashboard
2. Search for "RSS" and click Connect
3. No authentication is required—RSS is an open standard
4. Click Save to activate the integration

Configuration in TaskAGI:

• The RSS integration works out-of-the-box with any valid RSS feed URL
• You'll specify the feed URL directly in the trigger node configuration
• Supports RSS 2.0, Atom, and most common feed formats

OpenAI Integration

Why it's needed: OpenAI's GPT models power three critical functions: extracting clean article content from HTML, rewriting articles professionally, and translating content into multiple languages with native-level quality.

Setup steps:

1. Create an OpenAI account at https://platform.openai.com
2. Navigate to API Keys in your OpenAI dashboard
3. Click Create new secret key
4. Give it a descriptive name like "TaskAGI Workflow"
5. Copy the API key immediately (it won't be shown again)
6. Set up billing and add credits to your OpenAI account

How to obtain API credentials:

• API keys are available in the OpenAI Platform dashboard under "API keys"
• You'll need to add payment information to use the API
• Start with a small credit amount ($10-20) to test the workflow
• Monitor usage in the OpenAI dashboard to understand costs

Configuration in TaskAGI:

1. Go to Integrations → OpenAI
2. Click Connect New Account
3. Paste your API key in the API Key field
4. Enter a friendly name like "OpenAI Production"
5. Click Test Connection to verify
6. Click Save to complete setup

Cost considerations: This workflow uses gpt-4o-mini, which costs approximately $0.15-0.30 per article depending on length and number of translations.

Configuration Steps

Step 1: Configure RSS Feed Trigger

The RSS Feed Trigger node monitors your source feed for new articles.

1. Click on the RSS Feed Trigger node
2. In the Feed URL field, enter your RSS feed URL (e.g., https://example.com/feed)
3. Set Poll Interval to your preferred frequency (recommended: 15 minutes for news, 1 hour for blogs)
4. Configure Starting Point: Choose From now for new setups or From beginning to process existing items
5. Click Save

Example configuration:

Feed URL: https://techcrunch.com/feed/
Poll Interval: 15 minutes
Starting Point: From now

Step 2: Extract Article Link

The Extract Article Link node isolates the URL from the RSS item data.

1. In the Data Path field, enter: link
2. This extracts the article URL from the RSS feed item
3. The output will be available as [[nodes.4724.link]]

Step 3: Scrape Page with Firecrawl

This HTTP Request node fetches the full article content using Firecrawl's web scraping service.

1. Set Method to POST
2. Enter URL: https://api.firecrawl.dev/v1/scrape
3. Add Headers:
   • Authorization: Bearer YOUR_FIRECRAWL_API_KEY
   • Content-Type: application/json
4. Configure Body (JSON):

{
  "url": "[[nodes.4724.link]]",
  "formats": ["html"]
}

Note: You'll need a Firecrawl API key from https://firecrawl.dev. Free tier includes 500 scrapes/month.

Step 4: Extract Article from HTML

This OpenAI Completion node uses AI to extract clean article content from the scraped HTML.

1. Select your OpenAI Integration
2. Choose Model: gpt-4o-mini
3. Enter this Prompt:

Extract the main news article title and full body text from the following HTML. 
Return ONLY a JSON object with "title" and "body" fields. 
Remove all navigation, ads, and non-article content.

HTML: [[nodes.4725.data.html]]

4. Set Temperature to 0.1 (for consistent extraction)
5. Set Max Tokens to 4000

Step 5: Set Language Configuration

The Set Language Configuration node defines which languages you'll translate into.

1. Click on the Edit Data node
2. Create a new field called languages
3. Enter your target languages as an array:

["es", "fr", "de", "pt", "it"]

4. Create another field called default_language with value: en

Supported language codes: Use ISO 639-1 codes (es=Spanish, fr=French, de=German, pt=Portuguese, it=Italian, ja=Japanese, zh=Chinese, ar=Arabic, etc.)

Step 6: Rewrite in Default Language

This OpenAI Completion node rewrites the article professionally in your default language.

1. Select your OpenAI Integration
2. Choose Model: gpt-4o-mini
3. Enter this Prompt:

You are a senior editor for a respected [[nodes.4727.default_language]] publication. 
Rewrite this article to be engaging, accurate, and professionally formatted.
Maintain all facts but improve clarity and readability.

Title: [[nodes.4726.title]]
Body: [[nodes.4726.body]]

Return JSON with "news_title" and "news_body" fields.

4. Set Temperature to 0.7 (for creative rewriting)
5. Set Max Tokens to 4000

Step 7: Store Rewritten Article

This Edit Data node saves the rewritten content for later use.

1. Create a field rewritten_title with value: [[nodes.4728.news_title]]
2. Create a field rewritten_body with value: [[nodes.4728.news_body]]

Step 8: Loop Through Languages

The Loop node iterates through each target language for translation.

1. Set Loop Over to: [[nodes.4727.languages]]
2. Set Item Variable Name to: current_language
3. This creates two paths: loop_path (for each iteration) and done_path (when complete)

Step 9: Translate to Language

This OpenAI Completion node translates the rewritten article.

1. Select your OpenAI Integration
2. Choose Model: gpt-4o-mini
3. Enter this Prompt:

You are a professional translator specializing in [[nodes.4730.current_language]].
Translate this article naturally, maintaining tone and cultural context.

Title: [[nodes.4729.rewritten_title]]
Body: [[nodes.4729.rewritten_body]]

Return JSON with "translated_title" and "translated_body" in [[nodes.4730.current_language]].

4. Set Temperature to 0.3 (for accurate translation)
5. Set Max Tokens to 4000

Step 10: Store Translation

This Edit Data node accumulates translations in a structured format.

1. Create a dynamic field using the language code as the key
2. Store both title and body for each language
3. This builds an object like: {"es": {"title": "...", "body": "..."}, "fr": {...}}

Step 11: Build ACF Fields from Translations

This Function node converts translations into WordPress Advanced Custom Fields format.

1. Add JavaScript code to transform the translations object into ACF-compatible structure
2. Map each language to its corresponding ACF field name
3. Output format should match your WordPress ACF configuration

Example output structure:

{
  "acf_spanish_title": "Título en español",
  "acf_spanish_body": "Contenido en español",
  "acf_french_title": "Titre en français",
  "acf_french_body": "Contenu en français"
}

Step 12: Generate Image Prompt

This Function node creates a DALL-E prompt based on the article content.

1. Extract key themes from the article title and first paragraph
2. Format a descriptive prompt for image generation
3. Example output: "Professional news photography style image depicting [main topic], high quality, journalistic, 16:9 aspect ratio"

Step 13: Generate Featured Image

This HTTP Request node calls OpenAI's DALL-E API to create the image.

1. Set Method to POST
2. Enter URL: https://api.openai.com/v1/images/generations
3. Add Headers:
   • Authorization: Bearer YOUR_OPENAI_API_KEY
   • Content-Type: application/json
4. Configure Body:

{
  "prompt": "[[nodes.12.image_prompt]]",
  "n": 1,
  "size": "1792x1024",
  "model": "dall-e-3"
}

Step 14: Download Generated Image

This HTTP Request node downloads the generated image.

1. Set Method to GET
2. Set URL to: [[nodes.4735.data.data[0].url]]
3. Set Response Type to arraybuffer or binary

Step 15: Upload Image to WordPress

This HTTP Request node uploads the image to your WordPress media library.

1. Set Method to POST
2. Enter URL: https://yoursite.com/wp-json/wp/v2/media
3. Add Headers:
   • Authorization: Bearer YOUR_WORDPRESS_JWT_TOKEN
   • Content-Disposition: attachment; filename="article-image.png"
   • Content-Type: image/png
4. Set Body to the binary image data from the previous step

WordPress Authentication: You'll need the JWT Authentication plugin or Application Passwords (WordPress 5.6+).

Step 16: Extract Image ID

This Edit Data node extracts the WordPress media ID.

1. Set the data path to: id
2. This pulls the media ID from the WordPress upload response
3. Store as: featured_image_id

Step 17: Publish to WordPress

This final HTTP Request node creates the WordPress post with all translations and the featured image.

1. Set Method to POST
2. Enter URL: https://yoursite.com/wp-json/wp/v2/posts
3. Add Headers:
   • Authorization: Bearer YOUR_WORDPRESS_JWT_TOKEN
   • Content-Type: application/json
4. Configure Body:

{
  "title": "[[nodes.4733.news_title]]",
  "content": "[[nodes.4733.news_body]]",
  "status": "publish",
  "featured_media": "[[nodes.4738.featured_image_id]]",
  "acf": "[[nodes.4733.acf_fields]]"
}

Post Status Options:

• publish - Immediately live
• draft - Save for review
• pending - Awaiting approval

Testing Your Agent

1. Run a Test Execution

1. Click the Test button in the top-right corner of the workflow editor
2. Select Test with sample data or Test with live RSS feed
3. For first tests, use a single RSS item to avoid API costs
4. Monitor the execution panel on the right side

2. Verify Each Step

RSS Feed Trigger:

• ✅ Confirm the feed URL is accessible
• ✅ Check that article data is being retrieved
• ✅ Verify the link field contains a valid URL

Article Scraping:

• ✅ Ensure Firecrawl returns HTML content
• ✅ Check that the HTML contains the article text
• ✅ Verify no error messages about blocked access

Content Extraction:

• ✅ Confirm OpenAI extracted clean title and body
• ✅ Verify no HTML tags remain in the extracted text
• ✅ Check that the content makes sense and is complete

Rewriting:

• ✅ Ensure the rewritten version is professional and readable
• ✅ Verify facts from the original are preserved
• ✅ Check that the tone matches your publication style

Translation Loop:

• ✅ Confirm the loop executes for each language
• ✅ Verify translations are accurate and natural
• ✅ Check that all languages are processed before moving to done_path

Image Generation:

• ✅ Ensure the prompt is descriptive and relevant
• ✅ Verify DALL-E returns an image URL
• ✅ Check that the image downloads successfully

WordPress Publishing:

• ✅ Confirm the post is created in WordPress
• ✅ Verify the featured image is attached
• ✅ Check that ACF fields contain all translations
• ✅ Ensure the post status matches your configuration

3. Expected Results

A successful execution should:

• Complete in 2-4 minutes depending on article length and number of languages
• Create a WordPress post with the rewritten article in your default language
• Include ACF fields with all translations
• Feature an AI-generated image relevant to the article topic
• Show green checkmarks on all nodes in the workflow

Cost per execution: Approximately $0.15-0.40 depending on:

• Article length (longer = more tokens)
• Number of translations (5 languages = 5 translation calls)
• Image generation (DALL-E 3 costs ~$0.04 per image)

Troubleshooting

RSS Feed Issues

Problem: "Feed not found" or "Invalid feed format"

• Solution: Verify the RSS URL in a browser or RSS reader first. Ensure it returns valid XML. Some sites require user agents or cookies—consider using a feed proxy service.

Problem: Workflow triggers too frequently or not at all

• Solution: Check the poll interval setting. For testing, set to 5 minutes. For production, 15-30 minutes is typical. Verify the feed actually publishes new items during your test window.

Scraping Failures

Problem: Firecrawl returns empty HTML or error 403

• Solution: Some sites block scrapers. Try these alternatives:
  • Use Firecrawl's waitFor parameter to let JavaScript load
  • Enable Firecrawl's mobile mode to appear as a mobile device
  • Consider using RSS feed content directly if scraping fails consistently

Problem: "Rate limit exceede