{ "id": "", "meta": { "templateCredsSetupCompleted": false }, "name": "Auto-post top Reddit content to Telegram - Free Template", "tags": [], "nodes": [ { "id": "519e7efa-5b20-46e9-bb74-2d0631810921", "name": "Trigger - Cron1", "type": "n8n-nodes-base.cron", "onError": "continueErrorOutput", "position": [ -976, 368 ], "parameters": { "triggerTimes": { "item": [ { "hour": 10, "mode": "everyWeek" } ] } }, "notesInFlow": true, "retryOnFail": true, "typeVersion": 1, "alwaysOutputData": true }, { "id": "7c1c87ce-662b-4c2a-9405-f9c1f91e032a", "name": "Normalized Fields", "type": "n8n-nodes-base.code", "position": [ 32, 528 ], "parameters": { "mode": "runOnceForEachItem", "jsCode": "// Normalize url/title/publishedAt (ISO). Handles Reddit permalinks and \"x hours ago\".\nfunction toIso(raw) {\n if (!raw) return null;\n const s = String(raw).toLowerCase();\n const m = s.match(/(\\d+(?:\\.\\d+)?)\\s*(minute|hour|day|week|month|year)s?\\s*ago/);\n if (m) {\n const n = parseFloat(m[1]);\n const unit = m[2];\n const mult = { minute: 60000, hour: 3600000, day: 86400000, week: 604800000, month: 2592000000, year: 31536000000 }[unit] || 86400000;\n return new Date(Date.now() - n * mult).toISOString();\n }\n const d = new Date(s);\n return isNaN(d) ? null : d.toISOString();\n}\n\nconst j = item.json || {};\nlet url = j.url || j.link || j.permalink || j.permalink_url || '';\nif (url && String(url).startsWith('/r/')) url = 'https://www.reddit.com' + url;\n\nconst title = (j.title || j.headline || j.full_title || j.text || '').toString().trim();\nconst publishedRaw = j.publishedAt || j.published_at || j.pubDate || j.isoDate || j.date || j.created_at || j.time;\n\nitem.json = {\n ...j,\n url,\n title,\n publishedAt: toIso(publishedRaw)\n};\nreturn item;\n" }, "typeVersion": 2 }, { "id": "75b0406f-894a-42c3-9769-77e9e0e38199", "name": "Deduplicate (url \u2192 title)", "type": "n8n-nodes-base.code", "position": [ 368, 528 ], "parameters": { "jsCode": "function normUrl(u){\n if (!u) return '';\n try { return new URL(String(u)).toString(); }\n catch { return String(u).trim(); }\n}\nfunction keyify(v){ return String(v||'').trim().toLowerCase(); }\n\nconst byUrl = [];\nconst seenUrl = new Set();\nfor (const it of items) {\n const u = keyify(normUrl(it.json.url));\n if (u && !seenUrl.has(u)) {\n seenUrl.add(u);\n byUrl.push(it);\n }\n}\n\nconst finalOut = [];\nconst seenTitle = new Set();\nfor (const it of byUrl) {\n const t = keyify(it.json.title);\n if (!t || !seenTitle.has(t)) {\n seenTitle.add(t);\n finalOut.push(it);\n }\n}\n\nreturn finalOut;\n" }, "typeVersion": 2 }, { "id": "5107d752-6cdd-4547-ae3d-4cd80ae7c45f", "name": "Score & Compose", "type": "n8n-nodes-base.code", "position": [ 944, 576 ], "parameters": { "jsCode": "// Collect all Reddit posts from input\nconst posts = $input.all().map(item => item.json);\n\n// Normalize - prefer the Reddit permalink so links point to the discussion,\n// not the external image/article URL\nconst normalized = posts.map(p => ({\n title: p.title || '',\n url: p.permalink\n ? `https://www.reddit.com${p.permalink}`\n : (p.url || ''),\n externalUrl: p.url || '', // kept for reference if you ever need it\n ups: p.ups || 0,\n upvote_ratio: p.upvote_ratio || 0,\n num_comments: p.num_comments || 0,\n created_utc: p.created_utc ? new Date(p.created_utc * 1000) : null\n}));\n\n// Pick highest scorer (ups x upvote_ratio)\nconst winner = normalized.sort((a, b) =>\n (b.ups * b.upvote_ratio) - (a.ups * a.upvote_ratio)\n)[0] || null;\n\n// Output\nreturn [{\n json: {\n winner,\n candidates: normalized.slice(0, 10),\n post: winner ? {\n text: `\ud83d\udd25 ${winner.title}\\n\ud83d\udd17 ${winner.url}\\n\ud83d\udc4d ${winner.ups} | \u2b06\ufe0f ${(winner.upvote_ratio*100).toFixed(1)}%`\n } : null\n }\n}];" }, "typeVersion": 2 }, { "id": "75dab4ec-2eb6-4269-8af4-973d06624c20", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 1312, 800 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini", "cachedResultName": "gpt-4.1-mini" }, "options": { "temperature": 0.4, "responseFormat": "text" } }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "dc5ca6b3-d060-41c6-9e9b-3f503ddbda56", "name": "Social Posts Generator", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 1328, 592 ], "parameters": { "text": "=You are a skilled social content creator. You receive a JSON list of candidate Reddit posts. Each item has: title, url, ups, upvote_ratio, num_comments, created_utc.\n\nYour job is to craft ONE Telegram post based on the strongest item in the list.\n\nTasks:\n1. Pick the single best story from the candidates list.\n - If the input contains a \"previously_chosen\" field, that story was just \n declined by the reviewer. DO NOT pick it again - choose a different \n candidate from the list.\n - Otherwise, if items are similar, prefer the newer one or the one with \n higher engagement (ups x upvote_ratio).\n2. Write the Telegram post: 2-3 sentences, clear and informative, 1-3 emojis.\n3. End the post with: Read more: \n4. Append 4-6 relevant hashtags on a new line at the end, mixing general ones (#AI, #Automation) and topic-specific ones.\n5. Do not invent facts - use only the provided items.\n\nCRITICAL FORMATTING RULE - READ CAREFULLY:\nThe telegram field MUST be plain text only. Telegram will reject the message if you use any markdown.\nFORBIDDEN characters and patterns:\n- No asterisks anywhere: not *word*, not **word**, not lists with *\n- No underscores around words: not _word_, not __word__\n- No backticks: not `word`\n- No markdown links: NEVER write [text](url). Always write the URL as plain text like https://example.com\n- No square brackets [ ] around anything\n- No pipe characters |\n\nALLOWED:\n- Plain URLs: https://www.reddit.com/r/...\n- Hashtags: #AI #Automation (plain text, no formatting around them)\n- Emojis\n- Regular punctuation: . , : ; ! ? -\n\nInput items:\n{{ JSON.stringify($json.candidates || [$json.winner] || [$json]) }}\n\nOutput (must be valid JSON):\n{\n \"chosen\": { \"title\": \"...\", \"url\": \"...\", \"ups\": 0, \"upvote_ratio\": 0 },\n \"posts\": {\n \"telegram\": \"string\"\n }\n}\n\nReviewer feedback: {{ $json.feedback || \"Approved - continue as planned.\" }}", "options": {}, "promptType": "define", "hasOutputParser": true }, "retryOnFail": true, "typeVersion": 1.7 }, { "id": "5d275ed1-8ab1-4c6a-8cf9-c4e989985332", "name": "Log Fetched Reddit Posts", "type": "n8n-nodes-base.googleSheets", "position": [ 752, 816 ], "parameters": { "columns": { "value": {}, "schema": [ { "id": "subreddit", "type": "string", "display": true, "required": false, "displayName": "subreddit", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "selftext", "type": "string", "display": true, "required": false, "displayName": "selftext", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "title", "type": "string", "display": true, "required": false, "displayName": "title", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "upvote_ratio", "type": "string", "display": true, "required": false, "displayName": "upvote_ratio", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "ups", "type": "string", "display": true, "required": false, "displayName": "ups", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "permalink", "type": "string", "display": true, "required": false, "displayName": "permalink", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "approved_at_utc", "type": "string", "display": true, "required": false, "displayName": "approved_at_utc", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "author_fullname", "type": "string", "display": true, "required": false, "displayName": "author_fullname", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "saved", "type": "string", "display": true, "required": false, "displayName": "saved", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "mod_reason_title", "type": "string", "display": true, "required": false, "displayName": "mod_reason_title", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "gilded", "type": "string", "display": true, "required": false, "displayName": "gilded", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "clicked", "type": "string", "display": true, "required": false, "displayName": "clicked", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "link_flair_richtext", "type": "string", "display": true, "required": false, "displayName": "link_flair_richtext", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "subreddit_name_prefixed", "type": "string", "display": true, "required": false, "displayName": "subreddit_name_prefixed", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "hidden", "type": "string", "display": true, "required": false, "displayName": "hidden", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "pwls", "type": "string", "display": true, "required": false, "displayName": "pwls", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "link_flair_css_class", "type": "string", "display": true, "required": false, "displayName": "link_flair_css_class", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "downs", "type": "string", "display": true, "required": false, "displayName": "downs", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "thumbnail_height", "type": "string", "display": true, "required": false, "displayName": "thumbnail_height", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "top_awarded_type", "type": "string", "display": true, "required": false, "displayName": "top_awarded_type", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "hide_score", "type": "string", "display": true, "required": false, "displayName": "hide_score", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "name", "type": "string", "display": true, "required": false, "displayName": "name", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "quarantine", "type": "string", "display": true, "required": false, "displayName": "quarantine", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "link_flair_text_color", "type": "string", "display": true, "required": false, "displayName": "link_flair_text_color", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "author_flair_background_color", "type": "string", "display": true, "required": false, "displayName": "author_flair_background_color", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "total_awards_received", "type": "string", "display": true, "required": false, "displayName": "total_awards_received", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "media_embed", "type": "string", "display": true, "required": false, "displayName": "media_embed", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "thumbnail_width", "type": "string", "display": true, "required": false, "displayName": "thumbnail_width", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "author_flair_template_id", "type": "string", "display": true, "required": false, "displayName": "author_flair_template_id", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "is_original_content", "type": "string", "display": true, "required": false, "displayName": "is_original_content", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "user_reports", "type": "string", "display": true, "required": false, "displayName": "user_reports", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "secure_media", "type": "string", "display": true, "required": false, "displayName": "secure_media", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "is_reddit_media_domain", "type": "string", "display": true, "required": false, "displayName": "is_reddit_media_domain", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "is_meta", "type": "string", "display": true, "required": false, "displayName": "is_meta", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "category", "type": "string", "display": true, "required": false, "displayName": "category", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "secure_media_embed", "type": "string", "display": true, "required": false, "displayName": "secure_media_embed", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "link_flair_text", "type": "string", "display": true, "required": false, "displayName": "link_flair_text", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "can_mod_post", "type": "string", "display": true, "required": false, "displayName": "can_mod_post", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "score", "type": "string", "display": true, "required": false, "displayName": "score", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "approved_by", "type": "string", "display": true, "required": false, "displayName": "approved_by", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "is_created_from_ads_ui", "type": "string", "display": true, "required": false, "displayName": "is_created_from_ads_ui", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "author_premium", "type": "string", "display": true, "required": false, "displayName": "author_premium", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "thumbnail", "type": "string", "display": true, "required": false, "displayName": "thumbnail", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "edited", "type": "string", "display": true, "required": false, "displayName": "edited", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "author_flair_css_class", "type": "string", "display": true, "required": false, "displayName": "author_flair_css_class", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "author_flair_richtext", "type": "string", "display": true, "required": false, "displayName": "author_flair_richtext", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "gildings", "type": "string", "display": true, "required": false, "displayName": "gildings", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "post_hint", "type": "string", "display": true, "required": false, "displayName": "post_hint", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "content_categories", "type": "string", "display": true, "required": false, "displayName": "content_categories", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "is_self", "type": "string", "display": true, "required": false, "displayName": "is_self", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "subreddit_type", "type": "string", "display": true, "required": false, "displayName": "subreddit_type", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "created", "type": "string", "display": true, "required": false, "displayName": "created", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "link_flair_type", "type": "string", "display": true, "required": false, "displayName": "link_flair_type", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "wls", "type": "string", "display": true, "required": false, "displayName": "wls", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "removed_by_category", "type": "string", "display": true, "required": false, "displayName": "removed_by_category", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "banned_by", "type": "string", "display": true, "required": false, "displayName": "banned_by", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "author_flair_type", "type": "string", "display": true, "required": false, "displayName": "author_flair_type", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "domain", "type": "string", "display": true, "required": false, "displayName": "domain", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "allow_live_comments", "type": "string", "display": true, "required": false, "displayName": "allow_live_comments", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "selftext_html", "type": "string", "display": true, "required": false, "displayName": "selftext_html", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "likes", "type": "string", "display": true, "required": false, "displayName": "likes", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "suggested_sort", "type": "string", "display": true, "required": false, "displayName": "suggested_sort", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "banned_at_utc", "type": "string", "display": true, "required": false, "displayName": "banned_at_utc", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "url_overridden_by_dest", "type": "string", "display": true, "required": false, "displayName": "url_overridden_by_dest", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "view_count", "type": "string", "display": true, "required": false, "displayName": "view_count", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "archived", "type": "string", "display": true, "required": false, "displayName": "archived", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "no_follow", "type": "string", "display": true, "required": false, "displayName": "no_follow", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "is_crosspostable", "type": "string", "display": true, "required": false, "displayName": "is_crosspostable", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "pinned", "type": "string", "display": true, "required": false, "displayName": "pinned", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "over_18", "type": "string", "display": true, "required": false, "displayName": "over_18", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "preview", "type": "string", "display": true, "required": false, "displayName": "preview", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "all_awardings", "type": "string", "display": true, "required": false, "displayName": "all_awardings", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "awarders", "type": "string", "display": true, "required": false, "displayName": "awarders", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "media_only", "type": "string", "display": true, "required": false, "displayName": "media_only", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "link_flair_template_id", "type": "string", "display": true, "required": false, "displayName": "link_flair_template_id", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "can_gild", "type": "string", "display": true, "required": false, "displayName": "can_gild", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "spoiler", "type": "string", "display": true, "required": false, "displayName": "spoiler", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "locked", "type": "string", "display": true, "required": false, "displayName": "locked", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "author_flair_text", "type": "string", "display": true, "required": false, "displayName": "author_flair_text", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "treatment_tags", "type": "string", "display": true, "required": false, "displayName": "treatment_tags", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "visited", "type": "string", "display": true, "required": false, "displayName": "visited", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "removed_by", "type": "string", "display": true, "required": false, "displayName": "removed_by", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "mod_note", "type": "string", "display": true, "required": false, "displayName": "mod_note", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "distinguished", "type": "string", "display": true, "required": false, "displayName": "distinguished", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "subreddit_id", "type": "string", "display": true, "required": false, "displayName": "subreddit_id", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "author_is_blocked", "type": "string", "display": true, "required": false, "displayName": "author_is_blocked", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "mod_reason_by", "type": "string", "display": true, "required": false, "displayName": "mod_reason_by", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "num_reports", "type": "string", "display": true, "required": false, "displayName": "num_reports", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "removal_reason", "type": "string", "display": true, "required": false, "displayName": "removal_reason", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "link_flair_background_color", "type": "string", "display": true, "required": false, "displayName": "link_flair_background_color", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "id", "type": "string", "display": true, "removed": false, "required": false, "displayName": "id", "defaultMatch": true, "canBeUsedToMatch": true }, { "id": "is_robot_indexable", "type": "string", "display": true, "required": false, "displayName": "is_robot_indexable", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "report_reasons", "type": "string", "display": true, "required": false, "displayName": "report_reasons", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "author", "type": "string", "display": true, "required": false, "displayName": "author", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "discussion_type", "type": "string", "display": true, "required": false, "displayName": "discussion_type", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "num_comments", "type": "string", "display": true, "required": false, "displayName": "num_comments", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "send_replies", "type": "string", "display": true, "required": false, "displayName": "send_replies", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "contest_mode", "type": "string", "display": true, "required": false, "displayName": "contest_mode", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "mod_reports", "type": "string", "display": true, "required": false, "displayName": "mod_reports", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "author_patreon_flair", "type": "string", "display": true, "required": false, "displayName": "author_patreon_flair", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "author_flair_text_color", "type": "string", "display": true, "required": false, "displayName": "author_flair_text_color", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "stickied", "type": "string", "display": true, "required": false, "displayName": "stickied", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "url", "type": "string", "display": true, "required": false, "displayName": "url", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "subreddit_subscribers", "type": "string", "display": true, "required": false, "displayName": "subreddit_subscribers", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "created_utc", "type": "string", "display": true, "required": false, "displayName": "created_utc", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "num_crossposts", "type": "string", "display": true, "required": false, "displayName": "num_crossposts", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "media", "type": "string", "display": true, "required": false, "displayName": "media", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "is_video", "type": "string", "display": true, "required": false, "displayName": "is_video", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "publishedAt", "type": "string", "display": true, "required": false, "displayName": "publishedAt", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "is_gallery", "type": "string", "display": true, "required": false, "displayName": "is_gallery", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "media_metadata", "type": "string", "display": true, "required": false, "displayName": "media_metadata", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "gallery_data", "type": "string", "display": true, "required": false, "displayName": "gallery_data", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "author_cakeday", "type": "string", "display": true, "required": false, "displayName": "author_cakeday", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "autoMapInputData", "matchingColumns": [ "id" ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {}, "operation": "append", "sheetName": { "__rl": true, "mode": "list", "value": "", "cachedResultUrl": "", "cachedResultName": "" }, "documentId": { "__rl": true, "mode": "list", "value": "", "cachedResultUrl": "", "cachedResultName": "" } }, "credentials": { "googleSheetsOAuth2Api": { "name": "" } }, "typeVersion": 4.2 }, { "id": "92a1b627-9167-4a3c-84d1-f62cfc8bd1b2", "name": "Send Approval Email", "type": "n8n-nodes-base.gmail", "position": [ 1824, 752 ], "parameters": { "sendTo": "you@example.com", "message": "=Social media post approval needed.\n\nHere are the proposed draft:\n\n--- Telegram ---\n{{ JSON.parse($json.output).posts.telegram }}\n\n---\nClick APPROVE to publish all three, or DECLINE to ask the agent to regenerate from a different trending topic.\n", "options": { "limitWaitTime": { "values": { "resumeAmount": 3 } } }, "subject": "\ud83d\udea8Approval needed: Telegram post draft\ud83d\udea8", "operation": "sendAndWait", "approvalOptions": { "values": { "approvalType": "double" } } }, "credentials": { "gmailOAuth2": { "name": "" } }, "typeVersion": 2.1 }, { "id": "bc6082de-59e3-474a-9579-ffe5abb2260c", "name": "Is Content Approved?", "type": "n8n-nodes-base.if", "position": [ 2048, 880 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "loose" }, "combinator": "and", "conditions": [ { "id": "approval-check-0001", "operator": { "type": "boolean", "operation": "true", "singleValue": true }, "leftValue": "={{ $json.data?.approved ?? $json.approved ?? false }}", "rightValue": true } ] } }, "typeVersion": 2.2 }, { "id": "31719cb2-dbff-4f1b-bdf8-4eb330b2d0e1", "name": "Feedback for decline", "type": "n8n-nodes-base.set", "position": [ 1648, 1184 ], "parameters": { "mode": "raw", "options": {}, "jsonOutput": "={\n \"feedback\": \"Reviewer declined the previous draft. Pick a DIFFERENT story from the candidates list below - do not repeat the previously chosen one.\",\n \"previously_chosen\": {{ JSON.stringify($('Score & Compose').item.json.winner) }},\n \"candidates\": {{ JSON.stringify($('Score & Compose').item.json.candidates) }},\n \"winner\": {{ JSON.stringify($('Score & Compose').item.json.winner) }}\n}\n" }, "typeVersion": 3.4 }, { "id": "e4cfe77b-4f01-4d94-8e15-9665a0e33062", "name": "Fetch Reddit Posts", "type": "n8n-nodes-base.reddit", "onError": "continueErrorOutput", "position": [ -448, 352 ], "parameters": { "limit": 25, "filters": { "category": "top" }, "operation": "getAll", "subreddit": "={{ $json.subreddits || 'AI_Agents+OpenAI+MachineLearning+ArtificialIntelligence' }}" }, "credentials": { "redditOAuth2Api": { "name": "" } }, "notesInFlow": true, "retryOnFail": true, "typeVersion": 1, "alwaysOutputData": false }, { "id": "9ea088f7-4de7-459f-bc44-b9b3a088e7ea", "name": "Post to Telegram", "type": "n8n-nodes-base.telegram", "position": [ 2864, 608 ], "parameters": { "text": "={{ JSON.parse($('Social Posts Generator').item.json.output).posts.telegram.replace(/[\\*_`\\[\\]()~>+=|{}!\\\\]/g, '').replace(/\\s*#\\w+/g, '').replace(/\\s+$/, '') }}", "chatId": "@your_telegram_channel", "additionalFields": { "appendAttribution": false } }, "credentials": { "telegramApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "f894adcb-576f-45e4-893c-da8b0adc8ecb", "name": "Log Telegram Post", "type": "n8n-nodes-base.googleSheets", "position": [ 3296, 608 ], "parameters": { "columns": { "value": { "URL": "=https://t.me/{{ $json.result.chat.username }}/{{ $json.result.message_id }}", "Date ": "={{ DateTime.fromSeconds($json.result.date).setZone('Europe/Rome').toFormat('dd/MM/yyyy HH:mm') }}", "Text ": "={{ $json.result.text }}", "Channel ": "={{ '@' + $json.result.chat.username }}" }, "schema": [ { "id": "Date ", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Date ", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Channel ", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Channel ", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Text ", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Text ", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "URL", "type": "string", "display": true, "removed": false, "required": false, "displayName": "URL", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {}, "operation": "append", "sheetName": { "__rl": true, "mode": "list", "value": "", "cachedResultUrl": "", "cachedResultName": "" }, "documentId": { "__rl": true, "mode": "list", "value": "", "cachedResultUrl": "", "cachedResultName": "" } }, "credentials": { "googleSheetsOAuth2Api": { "name": "" } }, "typeVersion": 4.7, "alwaysOutputData": true }, { "id": "a3ab899a-5ff8-4183-904a-0cd78289d965", "name": "Sticky Note 0001", "type": "n8n-nodes-base.stickyNote", "position": [ -2448, 240 ], "parameters": { "color": 7, "width": 1400, "height": 700, "content": "## Reddit -> Telegram AI content pipeline\n\nAuto-generate platform-specific posts for Telegram from the top Reddit content, on a weekly schedule, with a human approval step before anything goes live.\n\n### Pipeline\n1. Weekly cron fires -> Reddit node fetches top posts from your chosen subreddits\n2. Posts are normalised and deduplicated by URL + title\n3. A scoring step picks the strongest candidate based on `ups x upvote_ratio`\n4. GPT-4 writes three platform-specific drafts in one call (Telegram 2-3 sentences)\n5. All three drafts are emailed to you for **APPROVE / DECLINE**\n6. On APPROVE: the Gate node fans out to Telegram. Each result is logged to its own Google Sheet tab\n7. On DECLINE: the agent retries with reviewer feedback and picks a different story\n\n### Credentials required\n- **Reddit OAuth2** - to fetch subreddit posts\n- **OpenAI API** - for GPT-4.1-mini (swap to any model you like)\n- **Gmail OAuth2** - to send the approval email\n- **Telegram Bot API** - to send to a channel your bot is admin of\n- **Google Sheets OAuth2** - for the four log tabs\n\n### Setup (15-20 min)\n1. Connect the seven credentials above\n2. In **Fetch Reddit Posts**, edit the default subreddit list to match your niche\n3. In **Send Approval Email**, set `sendTo` to your own email address\n4. In **Post to Telegram**, replace `@your_telegram_channel` with your channel handle (your bot must be an admin)\n5. In Google Sheets nodes, select your spreadsheet and the right tabs (see the \"Sheet schema\" sticky note)\n6. Optional: tweak the GPT prompt in **Social Posts Generator** to match your voice\n7. Activate and wait for the weekly run (or execute manually to test)\n" }, "typeVersion": 1 }, { "id": "cc70bb44-dc96-4f46-a540-d3941acbac06", "name": "Sticky Note 0002", "type": "n8n-nodes-base.stickyNote", "position": [ -1008, 144 ], "parameters": { "color": 4, "width": 200, "height": 172, "content": "## Step 1 - Trigger\n\nWeekly cron, Mondays at 10:00. Change the schedule to whatever fits your posting cadence." }, "typeVersion": 1 }, { "id": "c0fa4d6d-1dff-40c2-8f65-6a9467aa965b", "name": "Sticky Note 0003", "type": "n8n-nodes-base.stickyNote", "position": [ -528, 32 ], "parameters": { "color": 3, "height": 292, "content": "## Step 2 - Fetch Reddit\n\nPulls the top posts from a `+`-separated list of subreddits. Default list is AI-themed; edit it in the node to match your niche.\n\nThe Reddit node needs an OAuth2 Reddit credential (create one in your Reddit account's \"prefs/apps\" page)." }, "typeVersion": 1 }, { "id": "c84a5c69-bde1-42f5-ac81-fbae2f529a72", "name": "Sticky Note 0004", "type": "n8n-nodes-base.stickyNote", "position": [ 112, 0 ], "parameters": { "color": 5, "width": 260, "height": 356, "content": "## Step 3 - Normalise & deduplicate\n\n**Normalized Fields** builds a consistent `{url, title, publishedAt}` shape while preserving Reddit-specific fields (`ups`, `upvote_ratio`, `num_comments`).\n\n**Deduplicate (url -> title)** drops duplicate posts - first by normalised URL, then by lowercase title." }, "typeVersion": 1 }, { "id": "9a18679c-d565-4cfe-9406-22be69f66ad7", "name": "Sticky Note 0005", "type": "n8n-nodes-base.stickyNote", "position": [ 896, 320 ], "parameters": { "color": 6, "width": 260, "height": 208, "content": "## Step 4 - Score & pick a winner\n\nRanks candidates by `ups x upvote_ratio` and passes both the winner and the top-10 candidates onward so the AI can choose if you want.\n\n\n" }, "typeVersion": 1 }, { "id": "67b176f0-d808-417e-9403-b59618dc0909", "name": "Sticky Note 0006", "type": "n8n-nodes-base.stickyNote", "position": [ 1296, 304 ], "parameters": { "color": 4, "width": 300, "height": 240, "content": "## Step 5 - GPT writes Telegram posts\n\n**OpenAI Chat Model** (gpt-4.1-mini by default) drives **Social Posts Generator**.\n\n\nEdit the system prompt inside the agent node to match your tone, hashtags, and audience per platform." }, "typeVersion": 1 }, { "id": "6bd5b9bd-2d11-4941-9468-59a8a1c378db", "name": "Sticky Note 0007", "type": "n8n-nodes-base.stickyNote", "position": [ 1968, 224 ], "parameters": { "color": 5, "width": 300, "height": 300, "content": "## Step 6 - Human approval (Gmail)\n\nSends you an email with all three drafts and APPROVE / DECLINE buttons (sendAndWait with double-confirm).\n\n- **APPROVE** -> Gate on Approval fires -> fan-out to Telegram\n- **DECLINE** -> Feedback node injects `feedback` into a new agent run so the AI picks a different topic\n\nSet `sendTo` in the node to your real address before activating." }, "typeVersion": 1 }, { "id": "00685d04-4e09-49ac-bec8-fd59ffdcfd45", "name": "Sticky Note 0008", "type": "n8n-nodes-base.stickyNote", "position": [ 2736, 224 ], "parameters": { "color": 3, "width": 320, "height": 300, "content": "## Step 7 - Post to Telegram platform+ log\n\n**Gate on Approval** fans out to three branches that run in parallel:\n\n- **Post to Telegram** -> Log Telegram Post. Your Telegram bot must be an admin of the target channel; set the channel handle in the node." }, "typeVersion": 1 }, { "id": "f92efef2-be3a-45f8-be1f-9ae613bdc16d", "name": "Sticky Note 0009", "type": "n8n-nodes-base.stickyNote", "position": [ 3248, 208 ], "parameters": { "color": 6, "width": 340, "height": 300, "content": "## Sheet schema\n\nCreate ONE Google Sheet with four tabs:\n\n### Tab 1 - Fetched Reddit posts\nColumns: `subreddit`, `title`, `selftext`, `permalink`, `ups`, `upvote_ratio`\n\n\n### Tab 2 - Telegram log\nColumns: `Date` , `Channel` , `Text` , `URL`\n\nAfter importing, open each of the 2 Google Sheets nodes and pick the spreadsheet + the matching tab." }, "typeVersion": 1 }, { "id": "332fcee6-f998-4941-84f1-1f1a4c092bc0", "name": "Shape Reddit Log Row", "type": "n8n-nodes-base.set", "position": [ 512, 816 ], "parameters": { "mode": "raw", "options": {}, "jsonOutput": "={\n \"subreddit\": \"{{ $json.subreddit || '' }}\",\n \"title\": \"{{ ($json.title || '').replace(/\\\"/g, \"'\") }}\",\n \"selftext\": \"{{ ($json.selftext || '').toString().slice(0, 500).replace(/\\\"/g, \"'\") }}\",\n \"permalink\": \"{{ $json.permalink ? 'https://www.reddit.com' + $json.permalink : ($json.url || '') }}\",\n \"ups\": {{ Number($json.ups) || 0 }},\n \"upvote_ratio\": {{ Number($json.upvote_ratio) || 0 }}\n}" }, "typeVersion": 3.4 } ], "active": false, "settings": { "binaryMode": "separate", "executionOrder": "v1" }, "versionId": "", "connections": { "Score & Compose": { "main": [ [ { "node": "Social Posts Generator", "type": "main", "index": 0 } ] ] }, "Trigger - Cron1": { "main": [ [ { "node": "Fetch Reddit Posts", "type": "main", "index": 0 } ] ] }, "Post to Telegram": { "main": [ [ { "node": "Log Telegram Post", "type": "main", "index": 0 } ] ] }, "Normalized Fields": { "main": [ [ { "node": "Deduplicate (url \u2192 title)", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Social Posts Generator", "type": "ai_languageModel", "index": 0 } ] ] }, "Fetch Reddit Posts": { "main": [ [ { "node": "Normalized Fields", "type": "main", "index": 0 } ] ] }, "Send Approval Email": { "main": [ [ { "node": "Is Content Approved?", "type": "main", "index": 0 } ] ] }, "Feedback for decline": { "main": [ [ { "node": "Social Posts Generator", "type": "main", "index": 0 } ] ] }, "Is Content Approved?": { "main": [ [ { "node": "Post to Telegram", "type": "main", "index": 0 } ], [ { "node": "Feedback for decline", "type": "main", "index": 0 } ] ] }, "Shape Reddit Log Row": { "main": [ [ { "node": "Log Fetched Reddit Posts", "type": "main", "index": 0 } ] ] }, "Social Posts Generator": { "main": [ [ { "node": "Send Approval Email", "type": "main", "index": 0 } ] ] }, "Deduplicate (url \u2192 title)": { "main": [ [ { "node": "Score & Compose", "type": "main", "index": 0 }, { "node": "Shape Reddit Log Row", "type": "main", "index": 0 } ] ] } } }