Translate RSS Feed to Hindi and Publish to WordPress
Polls an RSS feed every 10 minutes, translates new articles to Hindi using OpenAI, extracts images, and saves them as WordPress drafts.
freelancers and consultantsE-commerce Operator
What it does
You get new articles automatically translated into Hindi and saved as WordPress drafts every 10 minutes without manual effort. The system pulls fresh content from your RSS feed, uses OpenAI to convert the text and extract images, then prepares them for review in WordPress.
Step by step
- Poll the RSS feed endpoint every 10 minutes using a scheduled trigger or cron expression.
- Parse the XML response to extract title, body HTML, and image tags from new entries.
- Use an HTTP POST request with JSON payload to create a draft post in WordPress via the REST API.
- Upload the extracted image file to the WordPress media library using the /wp/v2/media endpoint.
Where the LLM does the work
- Translate the English article title and body text into natural, contextually accurate Hindi using OpenAI.
- Summarize or adapt cultural references in the translated content if direct translation feels awkward for Indian readers.
- Generate a suitable Hindi meta description based on the translated body to improve SEO relevance.
Watch out for
WordPress media uploads may fail due to size limits, so compress images before sending them to the API.
RSS feeds often use relative image paths, so resolve full URLs before attempting to download and upload files.
Hindi text rendering issues can occur if character encoding is not set to UTF-8 in both the code step and WordPress settings.
Tools that fit
HTTP Request API Poll RSS feed for new articles
Code Service Extract featured image from HTML
Wordpress Service Publish translated post as draft
The agent brief
Everything your agent needs, including the gotchas. Copy it and go.
You are helping me build the following AI agent workflow. ## Goal Translate RSS Feed to Hindi and Publish to WordPress: Polls an RSS feed every 10 minutes, translates new articles to Hindi using OpenAI, extracts images, and saves them as WordPress drafts. ## Specification - What it does: You get new articles automatically translated into Hindi and saved as WordPress drafts every 10 minutes without manual effort. The system pulls fresh content from your RSS feed, uses OpenAI to convert the text and extract images, then prepares them for review in WordPress. - Trigger: On a schedule (Scheduled · every 10 minutes) - Autonomy: Fully hands-off - Expected setup effort: about an afternoon - Tools/services involved: - HTTP Request: Poll RSS feed for new articles - OpenAI: Translate content and title to Hindi - Code: Extract featured image from HTML - Wordpress: Publish translated post as draft ## Known pitfalls, handle each one explicitly in your implementation 1. WordPress media uploads may fail due to size limits, so compress images before sending them to the API. 2. RSS feeds often use relative image paths, so resolve full URLs before attempting to download and upload files. 3. Hindi text rendering issues can occur if character encoding is not set to UTF-8 in both the code step and WordPress settings. ## Reference implementation https://n8n.io/workflows/5150 (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/translate-rss-feed-to-hindi-and-publish-to-wordpress/ via usecasesforagents.com
Frequently asked questions
Can I use a different LLM than OpenAI?
Yes. OpenAI is only the example LLM in this recipe. The same flow works with Anthropic, Cohere, DeepSeek and Google Gemini. Swap the LLM connection and keep the rest of the setup as written.
Want this running in your business?
This is what I do. I design and build AI agents like this one, and keep them running. If you want it set up for your team instead of doing it yourself, get in touch.
Who it's for
Built for freelancers and consultants juggling this across every client, not just one.
Also fits E-commerce Operator.