January 22, 2026

Google Gemini + Telegram: RSS drafts ready to review

Lisa Granqvist Partner Workflow Automation Expert

Get a free AI assessment → ⬇️ Use template

RSS is supposed to make content easier. Then you realize you’re still copying links, skimming articles, outlining, writing, finding an image, and chasing approvals across DMs. It’s a lot of small steps that somehow steals your whole afternoon.

Content managers feel it first. But a marketing lead trying to ship weekly posts, or an agency owner juggling client reviews, runs into the same bottleneck. This RSS draft automation turns new feed items into review-ready drafts (with a cover image) and delivers them straight to Telegram.

You’ll see exactly what the workflow does, what you need to run it, and what results to expect once it’s set up.

How This Automation Works

The full n8n workflow, from trigger to final output:

n8n Workflow Template: Google Gemini + Telegram: RSS drafts ready to review

Click to explore

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The Problem: RSS Content Pipelines Break at Review Time

Pulling ideas from RSS sounds organized, but the process usually collapses when it’s time to turn “interesting link” into “draft someone can approve.” You read a post, paste the URL into a doc, write a rough version, then try to remember what you already processed last week. Meanwhile, someone asks for a cover image, a slug, a meta description, and a clean handoff to whoever publishes. If you’re doing this for multiple feeds, duplicates sneak in and you end up rewriting the same topic twice. Honestly, it’s the mental context switching that hurts most.

The friction compounds. Here’s where it breaks down.

You spend about 30 minutes per article just getting to a “first draft” that’s structured well enough to review.
Duplicate topics slip through, which means wasted writing time and messy editorial calendars.
Images become a last-minute scramble, so posts get delayed or published without a consistent look.
Drafts live in too many places, so approvals turn into “Can you resend that file?” threads.

The Solution: RSS → Gemini Draft + Cover → Telegram JSON

This workflow watches multiple RSS feeds on a schedule (hourly, daily, weekly, whatever you choose) and pulls in newly published items. For each item, it checks a DynamoDB table to confirm the URL hasn’t been processed before, so you don’t generate the same draft twice. When the article is truly new, Google Gemini produces a complete blog draft in a structured JSON format, including a title, meta description, slug, and a prompt for an on-brand cover image. The workflow then cleans and parses Gemini’s output (so you get valid JSON, not messy code blocks), generates the cover image, uploads it to Cloudflare R2, and finally packages everything into a single [slug].json file. That file gets sent to Telegram as a document, ready for review and quick feedback.

The workflow starts with RSS feed triggers and batching, then runs a deduplication check in DynamoDB. Gemini creates the post and the cover image, and n8n assembles the final payload. Telegram receives the finished JSON file, so reviews happen in one place.

What You Get: Automation vs. Results

What This Workflow Automates

Results You’ll Get

Monitors multiple RSS sources and pulls new items on a schedule.
Checks DynamoDB so previously processed URLs are skipped automatically.
Uses Google Gemini to generate a structured draft with SEO fields (title, meta, slug, body).
Generates a 1200×630 cover image, uploads it to Cloudflare R2, and bundles everything into a JSON file for Telegram.

Most teams get back about 3–5 hours a week once drafts stop being manual.
Fewer repeat topics because the workflow blocks duplicates before writing starts.
Clean handoff to reviewers, since Telegram receives one consistent file format.
More consistent publishing assets, because every draft includes a cover image.
Less rewriting later, since the draft arrives with structure and SEO basics already filled.

Example: What This Looks Like

Say you track 3 RSS sources and you typically turn 5 items per week into draft candidates. Manually, even a “quick” flow is about 20 minutes to read and outline, 40 minutes to draft, and another 10 minutes to find or brief an image. Call it about 70 minutes each, or roughly 6 hours a week. With this workflow, you mostly just review: the RSS trigger runs automatically, Gemini generates the draft, and Telegram gets a JSON file plus cover image link. Your time becomes “scan and approve,” often 10 minutes per draft, so you’re closer to an hour a week.

What You’ll Need

n8n instance (try n8n Cloud free)
Self-hosting option if you prefer (Hostinger works well)
Google Gemini for article drafts and images
Telegram to receive review-ready JSON files
AWS DynamoDB credentials (create in AWS IAM, then add to n8n)

Skill level: Intermediate. You’ll connect a few services, set permissions, and verify the JSON output matches what your reviewers expect.

Don’t want to set this up yourself? Talk to an automation expert (free 15-minute consultation).

How It Works

RSS triggers pull new items. The workflow monitors multiple feeds (for example, publications like Search Engine Journal and TechCrunch) and collects fresh URLs on your schedule.

Deduplication blocks repeats. Each URL is checked against a DynamoDB table. If the link already exists, the workflow stops for that item and sends a quick debug note to Telegram, so you know it was intentionally skipped.

Gemini generates the content and the image prompt. For new articles, Gemini produces a complete draft in JSON, including a slug, meta description, and the full body content. A code step cleans the response and parses it reliably, because AI output can be messy if you don’t enforce formatting.

Cover image is created and stored. Gemini generates a 1200×630 image, the file is renamed using the slug, and it’s uploaded to Cloudflare R2. If the upload fails, Telegram gets an alert instead of silently losing the asset.

Telegram receives a single review artifact. The workflow merges the draft JSON with the hosted image URL, converts it into a [slug].json file, and sends it to your Telegram recipients as a document.

You can easily modify the RSS sources to match your niche, then route the finished file to a different channel based on your needs. See the full implementation guide below for customization options.

Step-by-Step Implementation Guide

Step 1: Configure the RSS Feed Trigger

Set up the three RSS trigger sources that feed the workflow and control how often new items are checked.

Open RSS Trigger Alpha and set Feed URL to your primary RSS link (currently empty).
In RSS Trigger Alpha, keep Poll Times as configured: everyHour and everyWeek.
Open RSS Trigger Beta and set Feed URL to a secondary RSS link, then keep Poll Times at everyWeek.
Open RSS Trigger Gamma and set Feed URL to a third RSS link, with Poll Times set to everyWeek and weekday: 5 at hour: 12.
Verify each trigger connects to its batch node: RSS Trigger Alpha → Batch Items A, RSS Trigger Beta → Batch Items B, RSS Trigger Gamma → Batch Items C.

⚠️ Common Pitfall: All three Feed URL fields are blank. The workflow will never fire until these are populated.

Step 2: Connect AWS DynamoDB for De-duplication

Use DynamoDB to prevent duplicate blog posts and gate content creation based on previously processed links.

Open Fetch Record and set Operation to get with Table Name set to processed_rss_links and key article_url set to ={{ $json.link }}.
Credential Required: Connect your aws credentials.
Ensure Batch Items A, Batch Items B, and Batch Items C route into Fetch Record and Combine Sources C for unified processing.
Open Combine Sources C and confirm Mode is combine with Combine By set to combineAll.
Configure New Article Gate to check whether article_url is empty, using ={{ $json.article_url }} with the empty operator.
Open Upsert Record and set Table Name to processed_rss_links, mapping article_url to ={{ $json.link }}.
Credential Required: Connect your aws credentials.
Confirm the parallel split: New Article Gate outputs to both Gemini Article Draft and Upsert Record in parallel.

Step 3: Set Up AI Drafting and Parsing

Generate the blog draft with Gemini and parse it into a structured JSON payload for downstream steps.

Open Gemini Article Draft and confirm Model is models/gemini-2.5-flash with the prompt message that includes {{ $json.link }}.
Credential Required: Connect your googlePalmApi credentials.
Review Parse Gemini Output and keep the provided JavaScript parsing logic intact to extract the blog JSON.
Note the parallel split: Parse Gemini Output outputs to Create Cover Image, Select Slug Field, and Combine Streams B in parallel.
Open Select Slug Field and set slug to ={{ $json.slug }} to pass the slug forward.
Configure Create Cover Image with Resource set to image and Prompt set to =**Image Size: 1200x630 aspect Ratio 1.91:1** {{ $json.image_generation_prompt }}.
Credential Required: Connect your googlePalmApi credentials.

Step 4: Configure Image Handling and Storage

Merge the slug and image data, rename the image, upload it to R2, and validate upload success.

Confirm Combine Streams merges the slug from Select Slug Field and the image data from Create Cover Image using Mode combine and Combine By combineAll.
Open Rename Image File and set fileName to ={{ $json.slug }}.{{ $json.fileExtension }} with Include Other Fields enabled.
Open Upload Image to R2 and set Operation to upload, Bucket Name to saywize-media, and File Name to ={{ $json.fileName }}.
Credential Required: Connect your s3 credentials.
Check Image Upload Check to validate ={{ $json.success }} is true before continuing.

Step 5: Map Final Content and Deliver the JSON File

Validate content, map fields to the final schema, serialize to JSON, and send to Telegram.

Confirm Combine Streams B merges the parsed content and image upload status before the validation step.
Open Content Validation Check and keep the current condition chain to gate final output creation.
In Map Final Content, map fields exactly as configured, including image_url set to =https://cdn.saywize.com/{{ $json.slug }}.png and article_url set to ={{ $('Combine Sources C').item.json.link }}.
Open Serialize to File and confirm Operation is toJson with File Name set to ={{ $json.slug }}.json.
Open Send File to Telegram and set Operation to sendDocument with Binary Data enabled.
Credential Required: Connect your telegramApi credentials.

Step 6: Add Error and Status Alerts

Configure Telegram alerts for existing content, image failures, and validation failures.

Open Alert Existing Article and confirm the message text: =Since the article already exists, the blog post could not be created: {{ $json.article_url }}.
Credential Required: Connect your telegramApi credentials.
Open Alert Image Failure and keep the message An error occurred during image creation..
Credential Required: Connect your telegramApi credentials.
Open Alert Blog Failure and keep the message I encountered a problem while creating a blog..
Credential Required: Connect your telegramApi credentials.
Verify the routing: New Article Gate false path → Alert Existing Article, Image Upload Check false path → Alert Image Failure, and Content Validation Check false path → Alert Blog Failure.

Tip: The Flowpast Branding sticky note is informational only and does not impact execution.

Step 7: Test and Activate Your Workflow

Run a full test to confirm RSS ingestion, AI generation, image upload, and Telegram delivery.

Manually execute RSS Trigger Alpha (or any trigger) with a sample RSS item to start the workflow.
Verify New Article Gate allows a new item through and that Gemini Article Draft produces a valid response parsed by Parse Gemini Output.
Confirm the image is uploaded by checking Upload Image to R2 and a true result in Image Upload Check.
Check that Serialize to File produces a JSON file and Send File to Telegram delivers the document to your chat.
Once verified, toggle the workflow Active to enable automated execution in production.

🔒

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Common Gotchas

AWS DynamoDB credentials can expire or need specific permissions. If things break, check the AWS IAM access key status and the table permissions first.
If you’re using Wait nodes or external rendering, processing times vary. Bump up the wait duration if downstream nodes fail on empty responses.
Default prompts in AI nodes are generic. Add your brand voice early or you’ll be editing outputs forever.

Frequently Asked Questions

How long does it take to set up this RSS draft automation automation?

About 45 minutes if your accounts and keys are ready.

Do I need coding skills to automate RSS draft automation?

No. You’ll mostly connect services and paste in credentials. The only “code” is already included in the workflow for cleaning Gemini’s JSON output.

Is n8n free to use for this RSS draft automation workflow?

Yes. n8n has a free self-hosted option and a free trial on n8n Cloud. Cloud plans start at $20/month for higher volume. You’ll also need to factor in Google Gemini API usage and storage costs for Cloudflare R2.

Where can I host n8n to run this automation?

Two options: n8n Cloud (managed, easiest setup) or self-hosting on a VPS. For self-hosting, Hostinger VPS is affordable and handles n8n well. Self-hosting gives you unlimited executions but requires basic server management.

Can I customize this RSS draft automation workflow for Slack instead of Telegram?

Yes, but you’ll change the final delivery step. Replace the “Send File to Telegram” node with a Slack file upload (or a message with a link), and keep the “Serialize to File” node so reviewers still get one clean artifact. Common tweaks include changing the RSS sources, tightening the Gemini prompt for your brand voice, and adjusting the validation checks so low-quality drafts get flagged instead of delivered.

Why is my Telegram connection failing in this workflow?

Usually it’s the bot token or chat ID. Re-check the Telegram credentials in n8n, confirm the bot is added to the target chat, and make sure it has permission to send documents. If you’re sending to a channel, the bot often needs admin access. Also watch for workflow runs that fail earlier (like image upload), because the file node may never receive a valid attachment.

How many drafts can this RSS draft automation automation handle?

A lot, as long as your plan and API limits support it. On n8n Cloud Starter, you’re working within monthly execution limits; on higher tiers you can run more. If you self-host, there’s no execution cap, but your server resources and Gemini rate limits become the bottleneck. In practice, most teams comfortably process dozens to a few hundred RSS items a week once batching and deduplication are in place.

Is this RSS draft automation automation better than using Zapier or Make?

For this workflow, n8n is usually the better fit. Deduping against DynamoDB, cleaning malformed AI JSON, branching on validation, and handling file generation as a document are all easier when you have full control over logic. Zapier and Make can do pieces of this, but complex flows get expensive and brittle fast. If you only need “RSS item → send a summary,” those tools are fine. If you want a review-ready draft package with storage and guardrails, n8n wins more often than not. Talk to an automation expert if you want a quick recommendation based on your volume.

Once this is running, RSS stops being a reading list and becomes a steady stream of drafts you can actually approve. Set it up once, then spend your time editing the ideas that deserve it.

Need Help Setting This Up?

Our automation experts can build and customize this workflow for your specific needs. Free 15-minute consultation—no commitment required.

Lisa Granqvist

Workflow Automation Expert

Expert in workflow automation and no-code tools.

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The language is clear and easy to understand for the target audience.\n- [ ] **Internal Links:** At least 2-3 relevant internal links are included.\n- [ ] **External Links:** At least 1-2 external links to high-authority, non-competing websites are included.\n- [ ] **Visuals:** All images have descriptive alt text that includes keywords where appropriate.\n- [ ] **Structured Data:** Consider if `Article` or `FAQPage` schema is appropriate to help search engines understand the content.\n\n---\n### **Mandatory JSON format:**\nYou must provide your response using only the following JSON structure. Do not include any text, explanations, or markdown formatting before or after the JSON object.\n\n```json\n{\n  \"title\": \"[Enter a Compelling, Unique, and Keyword-Rich Title Here]\",\n  \"description\": \"[Write a brief and effective description summarizing the blog post's topic, maximum 80 characters.]\",\n  \"slug\": \"[seo-friendly-url-structure-based-on-title]\",\n  \"image_generation_prompt\": \"[A comma-separated, descriptive prompt for an AI image generator, reflecting the blog's core theme. E.g., 'vector illustration of a rocket ship launching from a laptop screen, vibrant colors, minimalist style']\",\n  \"author\": \"[Author's Name or ID]\",\n  \"category\": \"[Relevant Blog Category (e.g., SEO, Artificial Intelligence)]\",\n  \"body\": \"<!-- BLOG CONTENT (MARKDOWN) -->\\n\\n# [Enter a Compelling, Unique, and Keyword-Rich Title Here]\\n\\n## Introduction\\n[Hook the reader in the first sentence. Clearly state the problem you're solving or the question you're answering. Ensure the primary keyword appears naturally within the first 100 words. Promise a valuable takeaway for the reader.]\\n\\n## [Subheading 1 Using a Secondary Keyword]\\n[Elaborate on the first main point here. Use short paragraphs, bullet points, and **bold text** to improve readability. Make the content easy to scan.]\\n\\n## [Subheading 2 Using a Different Secondary Keyword]\\n[Explain the next key point. Consider adding a data point, a quote from an expert, or an embedded image to add credibility and enrich the text.]\\n\\n---\\n\\n## Conclusion\\n[Briefly summarize the main takeaways from the article. Avoid introducing new information. Provide a final, impactful thought or recommendation.]\\n\\n## Call to Action (CTA)\\n[What is the next step you want the reader to take? E.g., 'Leave a comment below,' 'Sign up for our free newsletter,' or 'Check out our related product.']\\n\\n---\\n\\n### Frequently Asked Questions (FAQ)\\n\\n**Question 1: [A frequently asked question that includes a keyword]**\\n\\n*Answer 1: [Answer the question clearly and concisely.]*\\n\\n**Question 2: [Another relevant, popular question]**\\n\\n*Answer 2: [Provide a brief and helpful answer.]*\\n\\n---\\n\\n### References\\n\\n- [Authoritative Source Name](URL)\\n- [Data/Statistic Source](URL)\\n\\n### Related Content (Internal Links)\\n\\n- [Title of an Existing Article on Your Site](URL)\\n- [Another Relevant Article on Your Site](URL)\",\n  \"seo\": {\n    \"metaTitle\": \"[SEO-Friendly Meta Title, Under 60 Characters]\",\n    \"metaDescription\": \"[Write a Meta Description Under 160 Characters That Includes the Keyword and Encourages Clicks.]\"\n  }\n}\n```"
}
]
}
},
"credentials": {
"googlePalmApi": {
"id": "credential-id",
"name": ""
}
},
"typeVersion": 1
},
{
"id": "d80f845d-3c6f-4570-a42c-78976d237e4c",
"name": "Parse Gemini Output",
"type": "n8n-nodes-base.code",
"position": [
175,
215
],
"parameters": {
"jsCode": "/**\n * N8N'den gelen Gemini response'unu parse eder ve JSON'a \u00e7evirir.\n * Birden fazla strateji kullanarak g\u00fcvenilir parsing sa\u011flar.\n *\n * @param {string} geminiResponse - N8N'den gelen ham Gemini yan\u0131t\u0131\n * @returns {object|null} Parse edilmi\u015f JSON objesi veya null\n */\nfunction parseGeminiResponse(geminiResponse) {\n    if (!geminiResponse || typeof geminiResponse !== 'string') {\n        console.error(\"Bo\u015f veya ge\u00e7ersiz Gemini response'u\");\n        return null;\n    }\n    \n    console.log(`Parsing Gemini response, length: ${geminiResponse.length} characters`);\n    \n    const cleanedResponse = cleanGeminiResponse(geminiResponse);\n    \n    if (!cleanedResponse.trim()) {\n        console.error(\"Temizlendikten sonra bo\u015f response\");\n        return null;\n    }\n\n    const parseStrategies = [\n        directJsonParse,\n        extractFirstJsonObject,\n        fixAndParseJson,\n        regexExtractJson\n    ];\n    \n    for (let i = 0; i < parseStrategies.length; i++) {\n        try {\n            const result = parseStrategies[i](cleanedResponse);\n            if (result && typeof result === 'object') {\n                console.log(`JSON ba\u015far\u0131yla parse edildi (strateji ${i + 1})`);\n                \n                if (validateBlogStructure(result)) {\n                    console.log(\"Ge\u00e7erli blog JSON yap\u0131s\u0131 bulundu\");\n                } else {\n                    console.warn(\"Blog JSON yap\u0131s\u0131 eksik alanlar i\u00e7eriyor\");\n                }\n                \n                return result;\n            }\n        } catch (error) {\n            console.log(`Parse stratejisi ${i + 1} ba\u015far\u0131s\u0131z: ${error.message}`);\n            continue;\n        }\n    }\n    \n    const responsePreview = cleanedResponse.length > 500 \n        ? cleanedResponse.substring(0, 500) + \"...\" \n        : cleanedResponse;\n    \n    console.error(\n        `Gemini response hi\u00e7bir strateji ile parse edilemedi. ` +\n        `Response uzunlu\u011fu: ${cleanedResponse.length} karakter. ` +\n        `Response \u00f6nizlemesi: ${responsePreview}`\n    );\n    \n    return null;\n}\n\n/**\n * Gemini response'unu temizler - markdown, extra whitespace vs.\n */\nfunction cleanGeminiResponse(response) {\n    response = response.replace(/```json\\s*/gi, '');\n    response = response.replace(/```\\s*/g, '');\n    \n    response = response.trim();\n    \n    if ((response.match(/\\{/g) || []).length > 1) {\n        response = extractFirstCompleteJson(response);\n    }\n    \n    return response;\n}\n\n/**\n * \u0130lk tam JSON nesnesini \u00e7\u0131kar\u0131r\n */\nfunction extractFirstCompleteJson(text) {\n    const firstBrace = text.indexOf('{');\n    if (firstBrace === -1) {\n        return text;\n    }\n    \n    let braceCount = 0;\n    for (let i = firstBrace; i < text.length; i++) {\n        if (text[i] === '{') {\n            braceCount++;\n        } else if (text[i] === '}') {\n            braceCount--;\n            if (braceCount === 0) {\n                return text.substring(firstBrace, i + 1);\n            }\n        }\n    }\n    \n    return text;\n}\n\n/**\n * Direkt JSON parse\n */\nfunction directJsonParse(text) {\n    return JSON.parse(text);\n}\n\n/**\n * \u0130lk ge\u00e7erli JSON nesnesini bulur\n */\nfunction extractFirstJsonObject(text) {\n    const firstBrace = text.indexOf('{');\n    if (firstBrace === -1) {\n        throw new Error(\"JSON objesi bulunamad\u0131\");\n    }\n    \n    let braceCount = 0;\n    for (let i = firstBrace; i < text.length; i++) {\n        if (text[i] === '{') {\n            braceCount++;\n        } else if (text[i] === '}') {\n            braceCount--;\n            if (braceCount === 0) {\n                const jsonText = text.substring(firstBrace, i + 1);\n                return JSON.parse(jsonText);\n            }\n        }\n    }\n    \n    throw new Error(\"Tamamlanmam\u0131\u015f JSON objesi\");\n}\n\n/**\n * Yayg\u0131n JSON sorunlar\u0131n\u0131 d\u00fczeltir\n */\nfunction fixAndParseJson(text) {\n    const openBraces = (text.match(/\\{/g) || []).length;\n    const closeBraces = (text.match(/\\}/g) || []).length;\n    \n    if (openBraces > closeBraces) {\n        text += '}'.repeat(openBraces - closeBraces);\n    }\n    \n    text = text.replace(/,\\s*}/g, '}');\n    text = text.replace(/,\\s*]/g, ']');\n    \n    return JSON.parse(text);\n}\n\n/**\n * Regex ile JSON bulur\n */\nfunction regexExtractJson(text) {\n    const jsonPattern = /\\{(?:[^{}]|(?:\\{(?:[^{}]|(?:\\{[^{}]*\\})*)*\\})*)*\\}/g;\n    const matches = text.match(jsonPattern);\n    \n    if (!matches || matches.length === 0) {\n        throw new Error(\"Regex ile JSON pattern bulunamad\u0131\");\n    }\n    \n    const longestMatch = matches.reduce((a, b) => a.length > b.length ? a : b);\n    return JSON.parse(longestMatch);\n}\n\n/**\n * Blog JSON yap\u0131s\u0131n\u0131n gerekli alanlar\u0131 i\u00e7erip i\u00e7ermedi\u011fini kontrol eder\n */\nfunction validateBlogStructure(data) {\n    if (!data || typeof data !== 'object') {\n        return false;\n    }\n    \n    const requiredFields = ['title', 'description', 'slug', 'body'];\n    \n    const missingFields = [];\n    for (const field of requiredFields) {\n        if (!data[field]) {\n            missingFields.push(field);\n        }\n    }\n    \n    if (missingFields.length > 0) {\n        console.warn(`Eksik gerekli alanlar: ${missingFields.join(', ')}`);\n        return false;\n    }\n    \n    if (data.seo && typeof data.seo === 'object') {\n        const seoFields = ['metaTitle', 'metaDescription'];\n        const missingSeo = seoFields.filter(field => !data.seo[field]);\n        if (missingSeo.length > 0) {\n            console.warn(`Eksik SEO alanlar\u0131: ${missingSeo.join(', ')}`);\n        }\n    }\n    \n    return true;\n}\n\n/**\n * Parse edilmi\u015f JSON'dan blog i\u00e7eri\u011fini \u00e7\u0131kar\u0131r ve d\u00fczenler\n */\nfunction extractBlogContent(data) {\n    if (!data || typeof data !== 'object') {\n        throw new Error(\"Ge\u00e7ersiz data format\u0131\");\n    }\n    \n    const blogContent = {\n        title: data.title || '',\n        description: data.description || '',\n        slug: data.slug || '',\n        body: data.body || '',\n        author: data.author || 'AI Content Generator',\n        category: data.category || 'Genel',\n        image_generation_prompt: data.image_generation_prompt || '',\n        seo: data.seo || {},\n        created_at: '',\n        created_by: '[YOUR_ID]',\n        status: 'draft'\n    };\n    \n    if (!blogContent.seo || Object.keys(blogContent.seo).length === 0) {\n        blogContent.seo = {\n            metaTitle: blogContent.title.length > 60 \n                ? blogContent.title.substring(0, 60) + '...' \n                : blogContent.title,\n            metaDescription: blogContent.description.length > 160 \n                ? blogContent.description.substring(0, 160) + '...' \n                : blogContent.description\n        };\n    }\n    \n    if (blogContent.body) {\n        blogContent.body = blogContent.body\n            .replace(/<!-- BLOG CONTENT \\(MARKDOWN\\) -->\\s*/g, '')\n            .trim();\n    }\n    \n    return blogContent;\n}\n\n/**\n * N8N'den gelen Gemini response'unu i\u015fler ve blog i\u00e7in haz\u0131r hale getirir\n */\nfunction processN8nGeminiResponse(geminiResponse) {\n    try {\n        const parsedData = parseGeminiResponse(geminiResponse);\n        \n        if (!parsedData) {\n            throw new Error(\"Gemini response parse edilemedi\");\n        }\n        \n        const blogContent = extractBlogContent(parsedData);\n        \n        console.log(`Blog i\u00e7eri\u011fi ba\u015far\u0131yla i\u015flendi: ${blogContent.title}`);\n        return blogContent;\n        \n    } catch (error) {\n        console.error(`Gemini response i\u015flenirken hata: ${error.message}`);\n        return null;\n    }\n}\n\nconst geminiResponseText = $input.first().json.content.parts[0].text;\n\nconst cleanedData = processN8nGeminiResponse(geminiResponseText);\n\nif (cleanedData === null) {\n    console.error(\"JSON temizleme ve ayr\u0131\u015ft\u0131rma i\u015flemi ba\u015far\u0131s\u0131z oldu. \u0130\u015f ak\u0131\u015f\u0131 bu koldan devam etmeyecek.\");\n    return [];\n}\n\nreturn {\n    json: cleanedData\n};"
},
"typeVersion": 2,
"alwaysOutputData": true
},
{
"id": "83ec7e8a-a3de-4a43-b88a-c8950359b58d",
"name": "Select Slug Field",
"type": "n8n-nodes-base.set",
"position": [
0,
245
],
"parameters": {
"options": [],
"assignments": {
"assignments": [
{
"id": "ad97cbd6-6489-4ef7-a597-3e9428b83d54",
"name": "slug",
"type": "string",
"value": "={{ $json.slug }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "5ac3ee91-030b-4d8a-baa1-17d822063eb0",
"name": "Create Cover Image",
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"position": [
210,
380
],
"parameters": {
"prompt": "=**Image Size: 1200x630 aspect Ratio 1.91:1**\n{{ $json.image_generation_prompt }}",
"modelId": {
"__rl": true,
"mode": "id",
"value": "models/gemini-2.5-flash-image-preview"
},
"options": [],
"resource": "image"
},
"credentials": {
"googlePalmApi": {
"id": "credential-id",
"name": ""
}
},
"typeVersion": 1
},
{
"id": "1cd97703-acb9-4423-9845-e2bd92c1f106",
"name": "Rename Image File",
"type": "n8n-nodes-base.set",
"position": [
260,
420
],
"parameters": {
"options": [],
"assignments": {
"assignments": [
{
"id": "89f151ed-4b34-4a02-b3b6-f658cb931a5b",
"name": "fileName",
"type": "string",
"value": "={{ $json.slug }}.{{ $json.fileExtension }}"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "4b1f8445-6124-488d-9bae-07c57341695d",
"name": "Upload Image to R2",
"type": "n8n-nodes-base.s3",
"position": [
480,
440
],
"parameters": {
"fileName": "={{ $json.fileName }}",
"operation": "upload",
"bucketName": "saywize-media",
"additionalFields": []
},
"credentials": {
"s3": {
"id": "credential-id",
"name": ""
}
},
"executeOnce": true,
"typeVersion": 1
},
{
"id": "2e9d5e0f-b7ff-483e-8eb6-ce6f2b950134",
"name": "Image Upload Check",
"type": "n8n-nodes-base.if",
"position": [
700,
420
],
"parameters": {
"options": [],
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "9dbfe1dc-732d-4bd1-a539-fad98a10bd61",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.success }}",
"rightValue": "tr"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "8d4d08f4-7efb-40bd-b940-d30a2de418cf",
"name": "Content Validation Check",
"type": "n8n-nodes-base.if",
"position": [
1140,
420
],
"parameters": {
"options": [],
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "ed82746b-e6e9-46d0-a65a-be5df2787261",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": true,
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "56ad3868-2136-4303-926c-e18873ab35a5",
"name": "Fetch Record",
"type": "n8n-nodes-base.awsDynamoDb",
"position": [
1050,
215
],
"parameters": {
"keysUi": {
"keyValues": [
{
"key": "article_url",
"value": "={{ $json.link }}"
}
]
},
"operation": "get",
"tableName": "processed_rss_links",
"additionalFields": []
},
"credentials": {
"aws": {
"id": "credential-id",
"name": ""
}
},
"typeVersion": 1
},
{
"id": "215b6a36-f2c8-4aca-8a4a-5e0ea5f58bcd",
"name": "Batch Items C",
"type": "n8n-nodes-base.splitInBatches",
"position": [
1270,
540
],
"parameters": {
"options": []
},
"typeVersion": 3
},
{
"id": "e8046541-4995-439b-9b2f-7c1398a7e6a6",
"name": "Batch Items B",
"type": "n8n-nodes-base.splitInBatches",
"position": [
1270,
330
],
"parameters": {
"options": []
},
"typeVersion": 3
},
{
"id": "b3e57766-3f8d-436c-8854-fb99d23f9bb0",
"name": "Batch Items A",
"type": "n8n-nodes-base.splitInBatches",
"position": [
1270,
160
],
"parameters": {
"options": []
},
"typeVersion": 3
},
{
"id": "ec5853c0-6c18-497c-a086-71927d81e702",
"name": "Upsert Record",
"type": "n8n-nodes-base.awsDynamoDb",
"position": [
610,
520
],
"parameters": {
"fieldsUi": {
"fieldValues": [
{
"fieldId": "article_url",
"fieldValue": "={{ $json.link }}"
}
]
},
"tableName": "processed_rss_links",
"additionalFields": []
},
"credentials": {
"aws": {
"id": "credential-id",
"name": ""
}
},
"typeVersion": 1
},
{
"id": "0860adb2-b3a4-4dc8-bf99-ab6745c41b72",
"name": "Combine Sources C",
"type": "n8n-nodes-base.merge",
"position": [
830,
235
],
"parameters": {
"mode": "combine",
"options": [],
"combineBy": "combineAll"
},
"typeVersion": 3.2
},
{
"id": "7ed70f9a-44c3-4b0a-aae0-2bb9b1f7225a",
"name": "New Article Gate",
"type": "n8n-nodes-base.if",
"position": [
610,
215
],
"parameters": {
"options": [],
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "4bf9f505-0f7f-4174-832f-f384d955a364",
"operator": {
"type": "string",
"operation": "empty",
"singleValue": true
},
"leftValue": "={{ $json.article_url }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "0b961b43-8452-411e-9729-e91e01c86cab",
"name": "Map Final Content",
"type": "n8n-nodes-base.set",
"position": [
1140,
600
],
"parameters": {
"options": [],
"assignments": {
"assignments": [
{
"id": "e5b17521-2fdb-44c4-8e78-5d3b42298faa",
"name": "title",
"type": "string",
"value": "={{ $json.title }}"
},
{
"id": "bfb86d94-85d0-4ec8-a91b-063e44f2845d",
"name": "description",
"type": "string",
"value": "={{ $json.description }}"
},
{
"id": "84cf076d-adcd-4f85-a2b3-9b348c38160c",
"name": "slug",
"type": "string",
"value": "={{ $json.slug }}"
},
{
"id": "cbdbf7c6-bdeb-4f66-9eb5-76d23372af74",
"name": "body",
"type": "string",
"value": "={{ $json.body }}"
},
{
"id": "eb4859eb-9dcf-4c97-ad30-d300fa3d3510",
"name": "author",
"type": "string",
"value": "[GENERIC_AUTHOR]"
},
{
"id": "7036ec5a-f77a-45d9-bdfd-0caa6fb17524",
"name": "category",
"type": "string",
"value": "={{ $json.category }}"
},
{
"id": "779d8231-527b-4aa0-9c32-de3905c315a7",
"name": "seo.metaTitle",
"type": "string",
"value": "={{ $json.seo.metaTitle }}"
},
{
"id": "f759dc75-88cc-465f-ac1d-d67802336fd8",
"name": "seo.metaDescription",
"type": "string",
"value": "={{ $json.seo.metaDescription }}"
},
{
"id": "e2575609-5e15-485b-9208-d223d7840b49",
"name": "image_url",
"type": "string",
"value": "=https://cdn.saywize.com/{{ $json.slug }}.png"
},
{
"id": "0de6b56d-ed3c-49d1-b4f0-f3e71b344146",
"name": "article_url",
"type": "string",
"value": "={{ $('Combine Sources C').item.json.link }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "3fbdd541-d0b3-4320-badb-ba20310864cc",
"name": "Alert Existing Article",
"type": "n8n-nodes-base.telegram",
"position": [
830,
520
],
"webhookId": "e14f68c1-522c-4573-9878-65137db4b4a4",
"parameters": {
"text": "=Since the article already exists, the blog post could not be created: {{ $json.article_url }}",
"additionalFields": []
},
"credentials": {
"telegramApi": {
"id": "credential-id",
"name": ""
}
},
"typeVersion": 1.2
},
{
"id": "2c0d3019-3c4e-4115-b766-ae132b7ecff6",
"name": "Alert Image Failure",
"type": "n8n-nodes-base.telegram",
"position": [
720,
700
],
"webhookId": "e14f68c1-522c-4573-9878-65137db4b4a4",
"parameters": {
"text": "An error occurred during image creation.",
"additionalFields": []
},
"credentials": {
"telegramApi": {
"id": "credential-id",
"name": ""
}
},
"typeVersion": 1.2
},
{
"id": "cabf5681-ddf1-4d56-b91a-f89b131c60dc",
"name": "Alert Blog Failure",
"type": "n8n-nodes-base.telegram",
"position": [
1140,
520
],
"webhookId": "e14f68c1-522c-4573-9878-65137db4b4a4",
"parameters": {
"text": "I encountered a problem while creating a blog.",
"additionalFields": []
},
"credentials": {
"telegramApi": {
"id": "credential-id",
"name": ""
}
},
"typeVersion": 1.2
},
{
"id": "641358e2-fe79-42d7-bbae-39ba9e5ae8ae",
"name": "Serialize to File",
"type": "n8n-nodes-base.convertToFile",
"position": [
920,
600
],
"parameters": {
"options": {
"fileName": "={{ $json.slug }}.json"
},
"operation": "toJson"
},
"typeVersion": 1.1
},
{
"id": "94a89dc2-71ec-4382-a9a6-cb957ae9dfed",
"name": "RSS Trigger Alpha",
"type": "n8n-nodes-base.rssFeedReadTrigger",
"position": [
1500,
120
],
"parameters": {
"feedUrl": "",
"pollTimes": {
"item": [
{
"mode": "everyHour"
},
{
"mode": "everyWeek"
}
]
}
},
"typeVersion": 1
},
{
"id": "1ff8b300-dbff-430d-8d33-0af8effd845d",
"name": "RSS Trigger Beta",
"type": "n8n-nodes-base.rssFeedReadTrigger",
"position": [
1500,
330
],
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