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Decodo-powered AI research paper extraction & summarization with ChatGPT

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Decodo-powered AI research paper extraction & summarization with ChatGPT preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Sign up for Decodo — get better pricing here Overview This workflow automatically collects the latest AI research papers using Decodo , extracts and summarizes PD...

Best for

  • Market Research automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, @decodo/n8n-nodes-decodo.decodo, @n8n/n8n-nodes-langchain.informationextractor, n8n-nodes-base.splitout, n8n-nodes-base.splitinbatches, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.googlesheets, n8n-nodes-base.telegram

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Rully Saputra.

Original n8n.io source

1.1 Workflow description

Title
Decodo-powered AI research paper extraction & summarization with ChatGPT
Workflow name
Decodo-powered AI research paper extraction & summarization with ChatGPT

Sign up for Decodo — get better pricing here

Overview

This workflow automatically collects the latest AI research papers using Decodo, extracts and summarizes PDFs with AI, stores insights in Google Sheets, and notifies users via Telegram. It turns complex academic research into structured, readable knowledge with zero manual effort.

Who’s this for

This template is ideal for:

  • AI researchers and ML engineers tracking new papers
  • Founders and product teams monitoring AI trends
  • Content writers and analysts creating research-based content
  • Educators, students, and newsletter creators

Anyone who wants automated, summarized research without reading full papers.

How it works / What it does

  1. A schedule trigger starts the workflow automatically
  2. Decodo fetches the latest AI research listings from arXiv reliably and at scale
  3. Article titles and PDF links are extracted and structured
  4. Each paper PDF is downloaded and converted to text
  5. An AI summarization chain generates concise, human-readable summaries
  6. Results are saved to Google Sheets as a research database
  7. A Telegram message notifies users when new summaries are available

How to set up

  1. Add your Decodo API credentials (required)
  2. Connect your OpenAI / ChatGPT-compatible model for summarization
  3. Connect Google Sheets and choose your target spreadsheet
  4. Add your Telegram bot credentials and chat ID
  5. Adjust the schedule trigger if needed, then activate the workflow

Requirements

  • n8n (self-hosted required due to community node usage)
  • Decodo community node (web extraction)
  • OpenAI or compatible AI model credentials
  • Google Sheets account
  • Telegram bot access

⚠️ Disclaimer: This workflow uses a community node and is supported on self-hosted n8n only.


How to customize the workflow

  • Change the arXiv category to track different research domains
  • Modify the AI prompt to adjust summary length or tone
  • Replace Google Sheets with another database or knowledge base
  • Disable Telegram notifications if not needed
  • Extend the workflow for SEO blogs, newsletters, or RAG pipelines

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Schedule Trigger

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.3

Block 2 - Decodo

Type / Role
@decodo/n8n-nodes-decodo.decodo - decodo
Config choices
Version 1

Block 3 - Extract Articles

Type / Role
@n8n/n8n-nodes-langchain.informationExtractor - informationExtractor
Config choices
Version 1.2

Block 4 - Split Out

Type / Role
n8n-nodes-base.splitOut - splitOut
Config choices
Version 1

Block 5 - Loop Over Items

Type / Role
n8n-nodes-base.splitInBatches - splitInBatches
Config choices
Version 3

Block 6 - OpenAI Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.3

Block 7 - Store to database

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.7

Block 8 - Telegram Notifier

Type / Role
n8n-nodes-base.telegram - telegram
Config choices
Version 1.2

Block 9 - Paper Summarizer

Type / Role
@n8n/n8n-nodes-langchain.chainSummarization - chainSummarization
Config choices
Version 2.1

Block 10 - Get PDF

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.3

Block 11 - PDF to Text

Type / Role
n8n-nodes-base.extractFromFile - extractFromFile
Config choices
Version 1.1

Block 12 - Set Content Field

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 13 - Extract HTML Content

Type / Role
n8n-nodes-base.html - html
Config choices
Version 1.2

Block 14 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 15 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 16 - OpenAI Chat Model1

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.3

Block 17 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Decodo-powered AI research paper extraction & summarization with ChatGPT
Complexity advanced
Nodes 17
Categories Market Research, AI Summarization
Author Rully Saputra
Published 14 Dec 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/11782/11782.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Decodo-powered AI research paper extraction & summarization with ChatGPT do?

Sign up for Decodo — get better pricing here Overview This workflow automatically collects the latest AI research papers using Decodo , extracts and summarizes PD...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.