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Wzmacniacz mediów społecznościowych oparty na sztucznej inteligencji

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Automatyzacja udostępniania trendujących dyskusji z GitHub na Twitter i LinkedIn

Zautomatyzuj proces wyszukiwania i udostępniania trendujących dyskusji z GitHub na Twitter i LinkedIn. Ten workflow wykorzystuje sztuczną inteligencję do generowania angażujących postów, usprawniając tworzenie i dystrybucję treści w mediach społecznościowych.

Jak to działa

  • Pobieranie postów z Hacker News: Workflow wyszukuje trendujące dyskusje związane z GitHub na Hacker News.
  • Ekstrakcja kluczowych informacji: Wyodrębniane są istotne dane, takie jak tytuły postów, adresy URL i metadane, z filtrowaniem tylko nieudostępnionych treści.
  • Pobieranie dodatkowych szczegółów: Dla każdego posta z GitHub workflow pobiera dodatkowe informacje ze strony repozytorium, aby wzbogacić treść.
  • Generowanie postów: Przy użyciu AI automatycznie generowane są dopasowane posty na Twittera i LinkedIn.
  • Publikacja w mediach społecznościowych: Wygenerowane treści są publikowane na kontach Twitter i LinkedIn.
  • Śledzenie postów: Każdy opublikowany post jest logowany w Airtable w celu śledzenia i uniknięcia duplikatów.
  • Powiadomienia na Telegram: Po publikacji podsumowanie jest wysyłane na czat Telegram w czasie rzeczywistym.

Wymagania

  • Konto n8n: Skonfigurowane i gotowe do użycia.
  • Klucze API: Wymagane są klucze dla LinkedIn, Twitter, Airtable, OpenAI i Telegram.
  • Baza Airtable: Skonfigurowana z polami takimi jak Tytuł, URL, Treść posta, Status i Znacznik czasu.
  • ID czatu Telegram: Do otrzymywania powiadomień w czasie rzeczywistym.

Kroki konfiguracji

  1. Zaimportuj workflow do swojego środowiska n8n przy użyciu dostarczonego pliku JSON.
  2. Wprowadź swoje klucze API dla LinkedIn, Twitter, Airtable, OpenAI i Telegram w odpowiednich węzłach.
  3. Skonfiguruj bazę Airtable z wymaganymi polami.
  4. Dostosuj ID czatu Telegram w węźle "Ping me", aby otrzymywać powiadomienia.
  5. Uruchom workflow, aby rozpocząć automatyczne wyszukiwanie i publikowanie treści.

Przykłady zastosowań

Ta automatyzacja może być wykorzystana w różnych scenariuszach, takich jak:

  • Budowanie marki osobistej poprzez regularne udostępnianie wartościowych treści technicznych.
  • Zwiększenie zaangażowania społeczności wokół projektów open source.
  • Automatyzacja content marketingu dla firm technologicznych.
  • Śledzenie trendów w rozwoju oprogramowania i udostępnianie ich swojej sieci.
  • Tworzenie stałego strumienia treści dla kont społecznościowych bez manualnego wysiłku.
  • Monitorowanie popularnych repozytoriów GitHub i promowanie ich wśród swoich followerów.
  • Integracja z innymi narzędziami do zarządzania treścią w celu stworzenia kompleksowego systemu publikacji.

Dodatkowe zasoby

  • Przewodnik po workflow AI w n8n
  • Samouczek dotyczący tworzenia workflow z AI w n8n
  • Społecznościowy samouczek n8n o budowaniu bota Telegram zasilanego AI

Uwaga: Prompt ChatGPT może być dostosowany w odpowiednim kroku, aby uzyskać pożądane zachowanie.

   Skopiuj kod szablonu   
{"id":"ZeSJSbwXI593H1Qj","meta":{"instanceId":"8e1a7e3413df437923cda0e92c098469371d84f7001856e525beaff17be8b941","templateCredsSetupCompleted":true},"name":"Social Media AI Agent - Telegram","tags":[],"nodes":[{"id":"814303e0-5fe9-474e-a4ed-e4a728fd4acf","name":"Crawl HN Home","type":"n8n-nodes-base.httpRequest","position":[-1540,1640],"parameters":{"url":"https://news.ycombinator.com/","options":{"response":{"response":{"neverError":true,"fullResponse":true}}}},"executeOnce":true,"typeVersion":4.2,"alwaysOutputData":true},{"id":"32e20b1d-b3f1-4ed2-acbf-4d5bd56b0d8b","name":"Extract Meta","type":"n8n-nodes-base.code","position":[-1260,1720],"parameters":{"language":"python","pythonCode":"# Import necessary modulesnimport asyncionimport micropipnn# Define an asynchronous function to install packagesnasync def install_packages():n await micropip.install("beautifulsoup4")n await micropip.install("simplejson")nn# Run the asynchronous package installationnasyncio.get_event_loop().run_until_complete(install_packages())nn# Now, import the installed packagesnimport simplejson as jsonnfrom bs4 import BeautifulSoupnn# Retrieve the HTML content from the first item in the inputn# Assuming n8n passes data as a list of items, each with a 'json' keynhtml_content = items[0].get('json', {}).get('data', '')nn# Initialize BeautifulSoup with the HTML contentnsoup = BeautifulSoup(html_content, 'html.parser')nn# Initialize a list to store metadata of GitHub postsngithub_posts = []nn# Find all 'tr' elements with class 'athing submission'nposts = soup.find_all('tr', class_='athing submission')nnfor post in posts:n post_id = post.get('id')n title_line = post.find('span', class_='titleline')n if not title_line:n continue # Skip if titleline is not foundnn # Extract the title and URLn title_tag = title_line.find('a')n if not title_tag:n continue # Skip if title tag is not foundnn title = title_tag.get_text(strip=True)n url = title_tag.get('href', '')nn # Check if the URL is a GitHub linkn if 'github.com' not in url.lower():n continue # Skip if not a GitHub linknn # Extract the site domain (e.g., github.com/username/repo)n site_bit = title_line.find('span', class_='sitebit comhead')n site = site_bit.find('span', class_='sitestr').get_text(strip=True) if site_bit else ''nn # The subtext is in the next 'tr' elementn subtext_tr = post.find_next_sibling('tr')n if not subtext_tr:n continue # Skip if subtext row is not foundnn subtext_td = subtext_tr.find('td', class_='subtext')n if not subtext_td:n continue # Skip if subtext td is not foundnn # Extract scoren score_span = subtext_td.find('span', class_='score')n score = score_span.get_text(strip=True) if score_span else '0 points'nn # Extract authorn author_a = subtext_td.find('a', class_='hnuser')n author = author_a.get_text(strip=True) if author_a else 'unknown'nn # Extract agen age_span = subtext_td.find('span', class_='age')n age_a = age_span.find('a') if age_span else Nonen age = age_a.get_text(strip=True) if age_a else 'unknown'nn # Extract commentsn comments_a = subtext_td.find_all('a')[-1] if subtext_td.find_all('a') else Nonen comments_text = comments_a.get_text(strip=True) if comments_a else '0 comments'nn # Construct the Hacker News URLn hn_url = f"https://news.ycombinator.com/item?id={post_id}"nn # Compile the metadatan post_metadata = {n 'Post': post_id,n 'title': title,n 'url': url,n 'site': site,n 'score': score,n 'author': author,n 'age': age,n 'comments': comments_text,n 'hn_url': hn_urln }nn # Append to the list of GitHub postsn github_posts.append(post_metadata)nn# Prepare the output for n8nnoutput = [{'json': post} for post in github_posts]nn# Return the outputnreturn outputn"},"executeOnce":true,"typeVersion":2,"alwaysOutputData":true},{"id":"b54cf663-b823-4613-a812-764942b95b9d","name":"Filter Unposted Items","type":"n8n-nodes-base.code","position":[-680,1640],"parameters":{"jsCode":"const items = [];nn// Step 1: Collect all Post IDs from input1 items (those with 'id')nconst processedPosts = new Set(n $input.all()n .filter(item => item.json.id)n .map(item => item.json.Post)n);nn// Step 2: Iterate over all items and filter out duplicatesnfor (const item of $input.all()) {n n // Only process items without 'id' (input2 items)n if(!item.json.id){n n // Check if the Post ID is already processedn if(!processedPosts.has(item.json.Post) && item.json.Post!=undefined){n items.push(item);n }n }n}nnreturn items;n"},"typeVersion":2},{"id":"d7ac7121-8da7-4e45-9b74-daf07fbf15fb","name":"Visit GH Page","type":"n8n-nodes-base.httpRequest","position":[-420,1420],"parameters":{"url":"={{ $json.url }}","options":{}},"typeVersion":4.2},{"id":"f156ca8e-7963-42b9-9612-9ab5efc53be4","name":"Convert HTML To Markdown","type":"n8n-nodes-base.markdown","position":[-240,1700],"parameters":{"html":"={{ $json.data }}","options":{}},"typeVersion":1,"alwaysOutputData":true},{"id":"86221ed0-29fa-4775-ba36-8ffdf614977c","name":"Filter Errored","type":"n8n-nodes-base.filter","position":[380,1440],"parameters":{"options":{},"conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"7776cb97-e02d-418e-a168-612bf92d4160","operator":{"type":"string","operation":"empty","singleValue":true},"leftValue":"={{ $json.error }}","rightValue":""}]}},"typeVersion":2.2},{"id":"f08c4f61-17a5-4899-ab3d-4e3ff5d1b8b7","name":"No Operation, do nothing","type":"n8n-nodes-base.noOp","position":[1760,1540],"parameters":{},"typeVersion":1},{"id":"48856b3b-a951-4e7f-a0b8-410a71e9b0a7","name":"Update X Status","type":"n8n-nodes-base.airtable","position":[1500,1400],"parameters":{"base":{"__rl":true,"mode":"list","value":"app7fh2kmMzPKS4RZ","cachedResultUrl":"https://airtable.com/app7fh2kmMzPKS4RZ","cachedResultName":"Twitter Agent"},"table":{"__rl":true,"mode":"list","value":"tblf0cODJFdvDj7vU","cachedResultUrl":"https://airtable.com/app7fh2kmMzPKS4RZ/tblf0cODJFdvDj7vU","cachedResultName":"My Tweets"},"columns":{"value":{"id":"={{ $('Create Item').item.json.id }}","TDone":true},"schema":[{"id":"id","type":"string","display":true,"removed":false,"readOnly":true,"required":false,"displayName":"id","defaultMatch":true},{"id":"Post","type":"string","display":true,"removed":true,"readOnly":false,"required":false,"displayName":"Post","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Title","type":"string","display":true,"removed":true,"readOnly":false,"required":false,"displayName":"Title","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Url","type":"string","display":true,"removed":true,"readOnly":false,"required":false,"displayName":"Url","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Tweet","type":"string","display":true,"removed":true,"readOnly":false,"required":false,"displayName":"Tweet","defaultMatch":false,"canBeUsedToMatch":true},{"id":"LinkedIn","type":"string","display":true,"removed":true,"readOnly":false,"required":false,"displayName":"LinkedIn","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Date","type":"string","display":true,"removed":true,"readOnly":true,"required":false,"displayName":"Date","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Last 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}}","person":"afi4Hy9wlI","additionalFields":{}},"credentials":{"linkedInOAuth2Api":{"id":"S7G2oyLAmzhWuYFQ","name":"LinkedIn account"}},"typeVersion":1},{"id":"4aab4cc2-4a51-432a-aa21-ba469c027ac6","name":"Update L Status","type":"n8n-nodes-base.airtable","position":[1520,1680],"parameters":{"base":{"__rl":true,"mode":"list","value":"app7fh2kmMzPKS4RZ","cachedResultUrl":"https://airtable.com/app7fh2kmMzPKS4RZ","cachedResultName":"Twitter Agent"},"table":{"__rl":true,"mode":"list","value":"tblf0cODJFdvDj7vU","cachedResultUrl":"https://airtable.com/app7fh2kmMzPKS4RZ/tblf0cODJFdvDj7vU","cachedResultName":"My Tweets"},"columns":{"value":{"id":"={{ $('Create Item').item.json.id 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}}"},"schema":[{"id":"Post","type":"string","display":true,"removed":false,"readOnly":false,"required":false,"displayName":"Post","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Title","type":"string","display":true,"removed":false,"readOnly":false,"required":false,"displayName":"Title","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Url","type":"string","display":true,"removed":false,"readOnly":false,"required":false,"displayName":"Url","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Tweet","type":"string","display":true,"removed":false,"readOnly":false,"required":false,"displayName":"Tweet","defaultMatch":false,"canBeUsedToMatch":true},{"id":"LinkedIn","type":"string","display":true,"removed":false,"readOnly":false,"required":false,"displayName":"LinkedIn","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Date","type":"string","display":true,"removed":false,"readOnly":true,"required":false,"displayName":"Date","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"defineBelow","matchingColumns":[]},"options":{},"operation":"create"},"credentials":{"airtableTokenApi":{"id":"BxLldDZTAZvuWVbr","name":"Airtable Personal Access Token account"}},"typeVersion":2.1},{"id":"51a2c3d3-3e75-4375-b2b6-4bb86fa71855","name":"X","type":"n8n-nodes-base.twitter","onError":"continueRegularOutput","position":[1180,1380],"parameters":{"text":"={{ $('Filter Errored').item.json.message.content.twitter }}","additionalFields":{}},"credentials":{"twitterOAuth2Api":{"id":"YQyS9lQTpZtZkefS","name":"X account"}},"executeOnce":false,"typeVersion":2},{"id":"58869c5b-9fb2-4f76-8788-68056cda45b0","name":"Validate Generate Content","type":"n8n-nodes-base.code","onError":"continueRegularOutput","position":[180,1680],"parameters":{"mode":"runOnceForEachItem","jsCode":"if ($json.message.content.twitter && $json.message.content.linkedin) {n n return $json;n} else {nn const parsedContent = JSON.parse($json.message.content);n if ($json.message.content.twitter && $json.message.content.linkedin) {n return parsedContent;n }nn console.log("Invalid formatting")n return {}n}"},"typeVersion":2},{"id":"527fd640-8bc8-4043-92a6-52fbea8de63f","name":"Schedule Trigger","type":"n8n-nodes-base.scheduleTrigger","position":[-1780,1640],"parameters":{"rule":{"interval":[{"field":"hours","hoursInterval":6}]}},"typeVersion":1.2},{"id":"f00c1de5-d5bd-4d78-8717-d26dd739adc7","name":"Merge","type":"n8n-nodes-base.merge","position":[-840,1420],"parameters":{},"typeVersion":3,"alwaysOutputData":true},{"id":"3529fba4-173c-4378-ae69-43a3bae0813f","name":"Generate Content","type":"@n8n/n8n-nodes-langchain.openAi","position":[-120,1440],"parameters":{"modelId":{"__rl":true,"mode":"list","value":"gpt-4o-mini","cachedResultName":"GPT-4O-MINI"},"options":{},"messages":{"values":[{"role":"system","content":"You are an AI-powered social media assistant specialized in crafting short-form, engaging posts for Twitter and LinkedIn. Your tone should blend the enthusiasm of a Tech Evangelist with the narrative depth of a Storyteller. The goal is to highlight technological and open-source projects in a friendly, forward-thinking manner, connecting them to real-world use cases. nnGuidelines:n1. Output must be in JSON with separate fields for “twitter” and “linkedin.”n2. Do not include emojis or marketing buzzwords (“cutting-edge,” “disruptive,” etc.).n3. Write naturally and concisely. Avoid overly formal or robotic language.n4. Twitter posts must be under 280 characters (including spaces and URL).n5. LinkedIn posts should be slightly longer, yet still succinct, and focus on storytelling and real-world applications.n6. Provide a single call-to-action in each post.n7. Do not imply ownership of the project unless explicitly stated.n8. Maintain a professional yet approachable tone in both outputs.n"},{"content":"=Using the following details, generate two posts—one for Twitter and one for LinkedIn—incorporating an enthusiastic yet narrative-driven style:nnTitle: {{ $('Filter Unposted Items').item.json.title }}nDetails in markdown: {{ $json.data }}nRepository Link: {{ $('Filter Unposted Items').item.json.url }} (this is the actual link you want to be inserted)nnConstraints:n- No emojis.n- Keep the Twitter post under 280 characters (including the link).n- Use a friendly, forward-thinking tone that weaves in a short narrative where possible.n- Highlight how the project solves a real problem or benefits the user.n- End each post with one clear CTA (e.g., “Check it out!” or “Learn more.”).n- **Ensure the tone is neutral and does not imply personal involvement** (e.g., avoid phrases like "my journey" or "I found it fascinating").n- **LinkedIn post should be more detailed**: Provide context, explain the key features, highlight how it can be useful to different audiences, and elaborate on the problem it solves or the impact it can have.n- Output your response in JSON with the structure:n```jsonn{n "twitter": "Your Twitter post here",n "linkedin": "Your LinkedIn post here"n}n"}]},"jsonOutput":true},"credentials":{"openAiApi":{"id":"IfJo4dG8AUORk6f0","name":"OpenAi account"}},"typeVersion":1.7,"alwaysOutputData":true},{"id":"2dfd7849-877c-4bd3-b248-94140a1fe209","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-320,960],"parameters":{"width":619.8433261701165,"height":97.20332107671479,"content":"Automate the curation and sharing of trending GitHub discussions from Hacker News to Twitter and LinkedIn. This workflow leverages AI to generate engaging posts, streamlining your social media content creation and distribution.nn"},"typeVersion":1},{"id":"20704a99-1234-46dc-b8c8-860b051b3b85","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[-1620,1520],"parameters":{"color":5,"width":524.8824946275869,"height":420.37647358435385,"content":"I crawl Hacker News and extract Github links."},"typeVersion":1},{"id":"5cfa2c30-6c88-429a-8b5f-0034d2352cc2","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[-480,1280],"parameters":{"color":5,"width":828.144505037599,"height":670.031562962293,"content":"This is where the magic happens. I use the Github url extracted earlier and visit Github page to get more insights in the project being shared. Then I ask Chat GPT very nicely to help me get a Tweet and a LinkedIn post"},"typeVersion":1},{"id":"caec3df6-ddcc-4959-94e1-18163cf3128f","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[1100,1280],"parameters":{"color":5,"width":285.9487894560623,"height":751.2077576680031,"content":"One last magic trick, Send the generated Tweet and the post to the respective platforms."},"typeVersion":1},{"id":"89c8472d-3329-4f94-a656-2539e061eeb0","name":"Ping Me","type":"n8n-nodes-base.telegram","position":[720,1420],"parameters":{"text":"=Hi There, here is your readymade tweet - nn {{ $json.fields.Tweet }}nnAnd your readymade LinkedIn post -nn {{ $json.fields.LinkedIn }}nn","chatId":"1297549992","additionalFields":{}},"credentials":{"telegramApi":{"id":"1RZApQ3BwJxFn9jp","name":"Telegram account"}},"typeVersion":1.2},{"id":"b1444e6d-0cab-4082-af42-a8decc97d9b4","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[640,1300],"parameters":{"color":5,"width":264.5060210432334,"height":307.03612625939974,"content":"Just pinging the owner that something is about to be posted and wait for 5 mins before final posting."},"typeVersion":1},{"id":"01c2f7ff-ff6c-4a60-9581-f8c5f3985792","name":"Wait for 5 mins before posting","type":"n8n-nodes-base.wait","position":[880,1660],"webhookId":"0c7ee388-30cf-4a99-9bb0-0fd85171c794","parameters":{"unit":"minutes"},"typeVersion":1.1},{"id":"909c7e7d-ea84-4612-a322-b1fa889b2efb","name":"Sticky Note5","type":"n8n-nodes-base.stickyNote","position":[-920,1380],"parameters":{"width":400.8207630962184,"height":392.80719991071624,"content":"CHORE"},"typeVersion":1},{"id":"04ab5b63-8def-4d49-9360-596261eb051c","name":"Sticky Note6","type":"n8n-nodes-base.stickyNote","position":[-1140,1140],"parameters":{"color":5,"width":195.58283685913963,"height":285.5933578465706,"content":"Make sure we don't post the same content again."},"typeVersion":1}],"active":true,"pinData":{"Schedule Trigger":[{"json":{"Hour":"18","Year":"2024","Month":"December","Minute":"00","Second":"17","Timezone":"America/New_York (UTC-05:00)","timestamp":"2024-12-27T18:00:17.035-05:00","Day of week":"Friday","Day of month":"27","Readable date":"December 27th 2024, 6:00:17 pm","Readable time":"6:00:17 pm"}}]},"settings":{"executionOrder":"v1"},"versionId":"4c28d47d-811e-4b89-adeb-47da12abd378","connections":{"X":{"main":[[{"node":"Update X Status","type":"main","index":0}]]},"Merge":{"main":[[{"node":"Filter Unposted Items","type":"main","index":0}]]},"Ping Me":{"main":[[{"node":"Wait for 5 mins before posting","type":"main","index":0}]]},"LinkedIn":{"main":[[{"node":"Update L Status","type":"main","index":0}]]},"Create Item":{"main":[[{"node":"Ping Me","type":"main","index":0}]]},"Search Item":{"main":[[{"node":"Merge","type":"main","index":0}]]},"Extract Meta":{"main":[[{"node":"Search Item","type":"main","index":0},{"node":"Merge","type":"main","index":1}]]},"Crawl HN Home":{"main":[[{"node":"Extract Meta","type":"main","index":0}]]},"Visit GH Page":{"main":[[{"node":"Convert HTML To Markdown","type":"main","index":0}]]},"Filter Errored":{"main":[[{"node":"Create Item","type":"main","index":0}]]},"Update L Status":{"main":[[{"node":"No Operation, do nothing","type":"main","index":0}]]},"Update X Status":{"main":[[{"node":"No Operation, do nothing","type":"main","index":0}]]},"Generate Content":{"main":[[{"node":"Validate Generate Content","type":"main","index":0}]]},"Schedule Trigger":{"main":[[{"node":"Crawl HN Home","type":"main","index":0}]]},"Filter Unposted Items":{"main":[[{"node":"Visit GH Page","type":"main","index":0}]]},"Convert HTML To Markdown":{"main":[[{"node":"Generate Content","type":"main","index":0}]]},"Validate Generate Content":{"main":[[{"node":"Filter Errored","type":"main","index":0}]]},"Wait for 5 mins before posting":{"main":[[{"node":"X","type":"main","index":0},{"node":"LinkedIn","type":"main","index":0}]]}}}
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