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Darmowy szablon automatyzacji

Agent AI: zbieraj, podsumowuj i zapisuj artykuły w Notion (Gemini, bez przeglądarki)

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Automatyzacja zapisywania artykułów do Notion z wykorzystaniem AI

Ten szablon n8n automatyzuje proces zapisywania artykułów internetowych lub linków udostępnionych w konwersacji chatowej bezpośrednio do bazy danych Notion, wykorzystując sztuczną inteligencję Google Gemini oraz Browserless do scrapowania treści.

Dla kogo jest ten szablon automatyzacji?

Przyda się każdemu, kto chce ograniczyć ręczne kopiowanie i wklejanie oraz organizować znalezione w sieci materiały w Notion. To inteligentne narzędzie do zapisywania treści!

Jak działa ten workflow automatyzacji

  • Rozpoczyna działanie po otrzymaniu wiadomości
  • Wykorzystuje węzeł Google Gemini AI Agent do analizy kontekstu i zarządzania kolejnymi krokami. Identyfikuje, czy wiadomość zawiera prośbę o zapisanie artykułu/linku.
  • Po wykryciu URL wykorzystuje narzędzie skonfigurowane z API Browserless (poprzez węzeł HTTP Request) do scrapowania zawartości strony.
  • Tworzy nową stronę w określonej bazie danych Notion, wypełniając ją podsumowaniem scrapowanej zawartości w określonym formacie, nie pomijając żadnych ważnych szczegółów. Zapisuje również oryginalny URL, inteligentne tagi, datę publikacji i inne metadane wyodrębnione przez AI.
  • Wysyła wiadomość potwierdzającą (np. na kanał Discord) informującą o powodzeniu zapisania artykułu lub wystąpieniu błędu.

Konfiguracja

  1. Import workflow: Zaimportuj ten szablon do swojej instancji n8n.
  2. Konfiguracja poświadczeń i bazy danych Notion:
    • Utwórz lub wyznacz bazę danych Notion (np. "Baza Wiedzy"), w której będą zapisywane artykuły.
    • Upewnij się, że baza ma następujące właściwości: Nazwa (Tekst), URL (URL), Opis (Tekst), Tagi (Wielokrotny wybór), Data publikacji (Data).
    • Zapewnij integracji n8n dostęp do tej bazy danych.
  3. Poświadczenia Notion: Uzyskaj klucz API Notion i dodaj go jako poświadczenie w n8n.
  4. Konfiguracja narzędzia save_to_notion: W węźle save_to_notion ustaw ID bazy danych i zmapuj dane workflow do odpowiednich właściwości bazy.
  5. Google Gemini AI: Uzyskaj klucz API z Google AI Studio i dodaj go jako poświadczenie.
  6. Discord: Jeśli używasz powiadomień Discord, utwórz Webhook URL i skonfiguruj docelowy Channel ID.
  7. Browserless/HTTP Request: Skonfiguruj węzeł website_scraper z odpowiednim endpointem API Browserless.
  8. Aktywacja workflow: Zapisz, przetestuj i aktywuj workflow.

Dostosowanie workflow do swoich potrzeb

  • Zmiana modelu AI: Eksperymentuj z różnymi modelami AI obsługiwanymi przez n8n.
  • Modyfikacja zapisu do Notion: Dostosuj węzeł save_to_notion do mapowania różnych pól danych.
  • Dostosowanie scrapowania: Zmodyfikuj instrukcje dla narzędzia website_scraper lub zmień parametry wysyłane do API Browserless.

Przykłady zastosowań

Ta automatyzacja znajduje zastosowanie w wielu scenariuszach, usprawniając przepływ pracy i organizację informacji. Oto kilka potencjalnych zastosowań:

  • Zbieranie materiałów do badań naukowych lub analiz rynkowych
  • Tworzenie bazy wiedzy dla zespołów projektowych
  • Archiwizowanie ciekawych artykułów do późniejszego wykorzystania
  • Automatyczne katalogowanie źródeł do artykułów lub prac dyplomowych
  • Gromadzenie inspiracji dla twórców contentu
  • Śledzenie trendów w branży poprzez zapisywanie kluczowych publikacji
  • Tworzenie osobistej biblioteki ulubionych artykułów i zasobów


   Skopiuj kod szablonu   
{"id":"4sKJLlAF2vqpkk2I","meta":{"instanceId":"69133932b9ba8e1ef14816d0b63297bb44feb97c19f759b5d153ff6b0c59e18d"},"name":"Research AI Agent: Scrape and Summarize Articles and save to Notion (Gemini, Browserless)","tags":[],"nodes":[{"id":"bbfff416-7270-4f1c-8024-b91b1c5acd1b","name":"Gemini 2.5 PRO","type":"@n8n/n8n-nodes-langchain.lmChatGoogleGemini","position":[-840,20],"parameters":{"options":{"temperature":0},"modelName":"models/gemini-2.5-pro-exp-03-25"},"credentials":{"googlePalmApi":{"id":"jLOqyTR4yTT1nYKi","name":"Google Gemini(PaLM) Api account"}},"typeVersion":1},{"id":"e1a4b171-0850-4d90-bf49-5c39888922af","name":"website_scraper","type":"@n8n/n8n-nodes-langchain.toolHttpRequest","position":[-220,-100],"parameters":{"url":"http://browserless:3000/content","method":"POST","jsonBody":"={n "url": "{url}",n "gotoOptions": {n "waitUntil": "networkidle0"n }n} ","sendBody":true,"specifyBody":"json","toolDescription":"website_scraper: Scrape a website given it's URL","placeholderDefinitions":{"values":[{"name":"url","type":"string","description":"the URL of the website to scrape"}]}},"typeVersion":1.1},{"id":"fd94022a-bf8d-47e6-b561-d622da350737","name":"save_to_notion","type":"n8n-nodes-base.notionTool","position":[-620,-100],"parameters":{"title":"={{ $fromAI('Title', `The original title of the article!`, 'string') }}","blockUi":{"blockValues":[{"type":"heading_1","textContent":"={{ $fromAI('Title', `The original title of the article!`, 'string') }}"},{"type":"heading_2","textContent":"Quick Summary (TL;DR)"},{"textContent":"={{ $fromAI('Summary', `1-3 sentence summary capturing the absolute essence of this article`, 'string') }}"},{"type":"heading_2","textContent":"={{ $fromAI('objective_title', `short title for the Problem Addressed / Objective section`, 'string') }}"},{"textContent":"={{ $fromAI('objective_text', `description of the core problem, question, or goal the article tackles. Keep it focused.`, 'string') }}"},{"type":"heading_2","textContent":"={{ $fromAI('concepts_title', `title for the Key Concepts / Solution Overview section`, 'string') }}"},{"textContent":"={{ $fromAI('concepts_text', `Explain the main ideas, theories, or the high-level approach of the solution presented.`, 'string') }}"},{"type":"heading_2","textContent":"Technologies & Libraries"},{"text":{"text":[{"text":"={{ $fromAI('technologies_list', `A bulleted list of Technologies, Libraries, Techniques and Patterns Mentioned in the article along with a short description for each`, 'string') }}","annotationUi":{}}]},"richText":true},{"type":"heading_2","textContent":"Core Code Snippets"},{"textContent":"={{ $fromAI('important_code_snippet_description', `1-2 sentences of context explaining what this snippet does or why it's important.`, 'string') }}"},{"text":{"text":[{"text":"={{ $fromAI('important_code_snippet', `The actual code snippet. The AI must ensure this block doesn't exceed 2000 chars. If a crucial snippet is longer, the AI should either prioritize a key part of it or potentially link to the source if available. Specify the language (e.g., python, javascript) for syntax highlighting.`, 'string') }}","annotationUi":{"code":true}}]},"richText":true},{"type":"heading_2","textContent":"Key Takeaways & Conclusion"},{"textContent":"={{ $fromAI('conclusions', `A bulleted item list that summarizes the main conclusions, results, or actionable insights from the article.`, 'string') }}"}]},"options":{"icon":"={{ $fromAI('Icon', `Pick an emoji that would be good as an icon for this article. Remember, this should be a single emoji`, 'string') }}"},"resource":"databasePage","databaseId":{"__rl":true,"mode":"list","value":"1c385086-bf58-80a1-a60f-dbc96d64413f","cachedResultUrl":"https://www.notion.so/1c385086bf5880a1a60fdbc96d64413f","cachedResultName":"Knowledge Database"},"propertiesUi":{"propertyValues":[{"key":"Description|rich_text","textContent":"={{ $fromAI('Description', `Short description of what the article is about`, 'string') }}"},{"key":"URL|url","urlValue":"={{ $fromAI('URL', `The URL where this article resides.`, 'string') }}"},{"key":"Tags|multi_select","multiSelectValue":"={{ $fromAI('Tags', `General (generic) tags that would be relevant for this article, such as technologies used / talked about, programming language, techniques and so on! Keep them generic not ultra specific.`, 'string') }}"},{"key":"Publication Date|date","date":"={{ $fromAI('publication_date', `The date this article was published if available on the page.`, 'string') }}","includeTime":false}]},"descriptionType":"manual","toolDescription":"save_to_notion: This tool saves the information to the Notion database."},"credentials":{"notionApi":{"id":"MDVhXc92xUP3UjxB","name":"Notion account"}},"notesInFlow":false,"typeVersion":2.2},{"id":"0e70e938-97ac-4aa0-80c1-8f7c9c519b9d","name":"discord_notification","type":"n8n-nodes-base.discordTool","position":[-420,-100],"webhookId":"617fa695-5a0a-464e-b3f2-bcd77ab5965b","parameters":{"embeds":{"values":[{"url":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('URL', ``, 'string') }}","title":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Title', ``, 'string') }}","description":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Description', ``, 'string') }}"}]},"content":"={{ $fromAI('Message', `Start with an :information_source: emoji. Then tell the chat that the action has been completed.`, 'string') }}","guildId":{"__rl":true,"mode":"list","value":"1207038600731168821","cachedResultUrl":"https://discord.com/channels/1207038600731168821","cachedResultName":"Let's Talk Dev Community"},"options":{},"resource":"message","channelId":{"__rl":true,"mode":"list","value":"1354563802854723774","cachedResultUrl":"https://discord.com/channels/1207038600731168821/1354563802854723774","cachedResultName":"research"}},"credentials":{"discordBotApi":{"id":"LfVy6XSgcAgRUPSS","name":"Discord Bot account"}},"typeVersion":2},{"id":"ee123a65-f0db-45e8-8e78-618b6c2b74e9","name":"Save Article To Notion","type":"@n8n/n8n-nodes-langchain.agent","onError":"continueErrorOutput","position":[-700,-320],"parameters":{"options":{"systemMessage":"=You will receive a URL. Your task is to:n1. use the website_scraper to scrape the provided URL!n2. use the save_to_notion tool to save the information to Notion.n3. use the discord_notification tool to send a notification that the research is available, along with the notion URL of the created page.nn## ToolsnThe save_to_notion tool expects the following parameters:n* title: the original title of the articlen* description: short description of what the article is aboutn* url: the URL where this article resides.n* tags: general (generic) tags that would be relevant for this article, such as technologies used / talked about, programming language, techniques and so on! Keep them generic not ultra specific.n* publication_date: The date this article was published if available on the page.n* summary: 1-3 sentence summary capturing the absolute essence of this articlen* objective_title: short title for the section about the problem addressed / objectiven* objective_text: description of the core problem, question, or goal the article tackles. Keep it focused.n* concepts_title: title for the Key Concepts / Solution Overview sectionn* concepts_text: explain the main ideas, theories, or the high-level approach of the solution presented. n* technologies_list: A bulleted list of Technologies, Libraries, Techniques and Patterns Mentioned in the article along with a short description for each.n* important_code_snippet_description: Description for The most important code snippet in the article. 1-2 sentences of context explaining what this snippet does or why it's important.n* important_code_snippet: The actual code snippet. The AI must ensure this block doesn't exceed 2000 chars. If a crucial snippet is longer, the AI should either prioritize a key part of it or potentially link to the source if available. Specify the language (e.g., python, javascript) for syntax highlighting.n* conclusions: A bulleted item list that summarizes the main conclusions, results, or actionable insights from the article.n* icon: an emoji that represents this article best!nnRemember you always have to scrape the website using the website_scraper tool. Don't try to summarize without scraping!nAlways save the results to notion using the save_to_notion tool. Only execute this tool once!"}},"executeOnce":true,"notesInFlow":false,"typeVersion":1.7},{"id":"4a7f0a06-0d5f-4013-964c-fcc272484ff4","name":"When chat message received","type":"@n8n/n8n-nodes-langchain.chatTrigger","position":[-1000,-320],"webhookId":"3e4878bb-dcb4-4591-975f-8f279605e90b","parameters":{"public":true,"options":{}},"typeVersion":1.1},{"id":"5bcfe9f7-a58f-4851-8ac4-ad6de06705df","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-1060,-120],"parameters":{"width":340,"height":260,"content":"## Google Gemini AI modelnnI picked this for the enormous context window and speed. Feel free to experiment with other AI models."},"typeVersion":1},{"id":"8a1ef34e-9f27-4e68-8ef2-34c488463512","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[-280,-420],"parameters":{"width":380,"height":460,"content":"## Browserless (https://www.browserless.io/)nnI use Browserless as a self hosted Docker container (alongside n8n). You can use the cloud version of Browserless or any other web scraping tool or API.nnSince there isn't a pre-built tool for Browserless , we can simply use the generic HTTP request tool to call Browserless' API."},"typeVersion":1},{"id":"dfba5742-663c-4b8c-a971-de120c8f73c1","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[-1980,-820],"parameters":{"width":860,"height":980,"content":"## Setupnn1. **Import Workflow:** Import this template into your n8n instance.n2. **Configure Credentials & Notion Database:**n * **Notion Database:**n * Create or designate a Notion database (like the example "Knowledge Database") where articles will be saved.n * Ensure this database has the following properties (fields):n * `Name` (Type: Text) - *This will store the article title.*n * `URL` (Type: URL) - *This will store the original article link.*n * `Description` (Type: Text) - *This can store the AI-generated summary.*n * `Tags` (Type: Multi-select) - *Optional, for categorization.*n * `Publication Date` (Type: Date) - *Optional, nstore the date the article was published.n * Ensure the n8n integration has access to this specific database.nt* If you require a different format to the Notion Database, not that you will have to update the Notion tool configuration in this n8n workflow accordingly.n * **Notion Credential:** Obtain your Notion API key and add it as a Notion credential in n8n. Select this credential in the `save_to_notion` tool node.n * **Configure `save_to_notion` Tool:** In the `save_to_notion` tool node within the workflow, set the 'Database ID' field to the ID of the Notion database you prepared above. Map the workflow data (URL, AI summary, etc.) to the corresponding database properties (`URL`, `Description`, etc.). In the blocks section of the notion tool, you can define a custom format for the research page, allowing the AI to fill in the exact details you want extracted from any web page!n * **Google Gemini AI:** Obtain your API key from [Google AI Studio](https://aistudio.google.com/app/apikey) or Google Cloud Console (if using Vertex AI) and add it as a credential. Select this credential in the "Tools Agent" node.n * **Discord (or other notification service):** If using Discord notifications, create a Webhook URL ([instructions](https://support.discord.com/hc/en-us/articles/228383668-Intro-to-Webhooks)) or set up a Bot Token. Add the credential in n8n and select it in the `discord_notification` tool node. Configure the target Channel ID.n * **Browserless/HTTP Request:**n * **Cloud:** Obtain your API key from [Browserless](https://www.browserless.io/) and configure the `website_scraper` HTTP Request tool node with the correct API endpoint and authentication header.n * **Self-Hosted:** Ensure your Browserless Docker container is running and accessible by n8n. Configure the `website_scraper` HTTP Request tool node with your self-hosted Browserless instance URL.n6. **Activate Workflow:** Save test and activate the workflow.nn## How to customize this workflow to your needsnn* **Change AI Model:** Experiment with different AI models supported by n8n (like OpenAI GPT models or Anthropic Claude) in the Agent node if Gemini 2.5 Pro doesn't fit your needs or budget, keeping in mind potential differences in context window size and processing capabilities for large content.n* **Modify Notion Saving:** Adjust the `save_to_notion` tool node to map different data fields (e.g., change the summary style by modifying the AI prompt, add specific tags, or alter the page content structure) to your Notion database properties.n* **Adjust Scraping:** Modify the prompt/instructions for the `website_scraper` tool or change the parameters sent to the Browserless API if you need different data extracted from the web pages. You could also swap Browserless for another scraping service/API accessible via the HTTP Request node."},"typeVersion":1}],"active":false,"pinData":{},"settings":{"executionOrder":"v1"},"versionId":"d5328d32-6ee9-4dd6-a68b-8736c85975fe","connections":{"Gemini 2.5 PRO":{"ai_languageModel":[[{"node":"Save Article To Notion","type":"ai_languageModel","index":0}]]},"save_to_notion":{"ai_tool":[[{"node":"Save Article To Notion","type":"ai_tool","index":0}]]},"website_scraper":{"ai_tool":[[{"node":"Save Article To Notion","type":"ai_tool","index":0}]]},"discord_notification":{"ai_tool":[[{"node":"Save Article To Notion","type":"ai_tool","index":0}]]},"When chat message received":{"main":[[{"node":"Save Article To Notion","type":"main","index":0}]]}}}
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