TechCrunch AI article scraper & classifier with GPT-4.1-nano to sheets & Telegram

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Important notice

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

1. Workflow Overview

How it works This workflow scrapes the latest Artificial Intelligence articles from TechCrunch, then processes and classifies the content using OpenAI and LangChain nodes. The final result is saved...

Best for

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

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.html, n8n-nodes-base.splitout, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.stickynote, n8n-nodes-base.splitinbatches, n8n-nodes-base.code

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: TechCrunch AI article scraper & classifier with GPT-4.1-nano to sheets & Telegram
Workflow name: TechCrunch AI article scraper & classifier with GPT-4.1-nano to sheets & Telegram

How it works

This workflow scrapes the latest Artificial Intelligence articles from TechCrunch, then processes and classifies the content using OpenAI and LangChain nodes. The final result is saved to Google Sheets and sent as a summary to a Telegram group.

Workflow Logic: Trigger: Schedules daily at 6AM Bangkok time.

Scraper: Extracts URLs and publish dates from TechCrunch's AI category.

Filter: Only continues if the article is from yesterday (to avoid duplication).

Content Fetch: Downloads and extracts article body text.

AI Agent:

Summarizes the article in Thai.

Scores it using strict journalism criteria (max 100).

Categorizes the news into one of 9 predefined categories.

Output:

Saves all structured data to Google Sheets.

Sends a summary to a Telegram group.

Set up steps

🕒 Estimated setup time: 10–15 minutes

Connect your credentials:

Google Sheets (OAuth2)

OpenAI account (via LangChain model)

Update the Telegram chatId and Google Sheets documentId/sheetName values.

Deploy and activate the workflow. It runs daily without manual intervention.

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 Trigger1

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

Block 2 - GetDate1

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

Block 3 - Split URL3

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

Block 4 - Edit Fields6

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

Block 5 - TechCrunchNews-AI1

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 6 - Sticky Note4

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

Block 7 - Loop Over Items1

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

Block 8 - TimeWaitRandom1

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 9 - AI Agent1

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 10 - Structured Output Parser1

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

Block 11 - Wait1

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

Block 12 - SelectDate

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.2

Block 13 - SetData

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

Block 14 - URL_Content

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 15 - GetBody

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

Block 16 - NewsData

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 17 - Gpt-4.1-nano

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

Block 18 - Send a text message

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

3. Summary Table

Workflow	TechCrunch AI article scraper & classifier with GPT-4.1-nano to sheets & Telegram
Complexity	advanced
Nodes	18
Categories	Market Research, AI Summarization
Author	Mujahid Kabae
Published	12 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/5914/5914.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

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

Download workflow JSON Original n8n.io source Market Research workflows AI Summarization workflows

Frequently asked questions

What does TechCrunch AI article scraper & classifier with GPT-4.1-nano to sheets & Telegram do?

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.

Mujahid Kabae

1 workflow

Nodes

n8n-nodes-base.scheduletrigger n8n-nodes-base.html n8n-nodes-base.splitout n8n-nodes-base.set n8n-nodes-base.httprequest n8n-nodes-base.stickynote n8n-nodes-base.splitinbatches n8n-nodes-base.code

Complexity

advanced

Published 12 Jul 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/5914/5914.json

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TechCrunch AI article scraper & classifier with GPT-4.1-nano to sheets & Telegram

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How it works

Set up steps

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Schedule Trigger1

Block 2 - GetDate1

Block 3 - Split URL3

Block 4 - Edit Fields6

Block 5 - TechCrunchNews-AI1

Block 6 - Sticky Note4

Block 7 - Loop Over Items1

Block 8 - TimeWaitRandom1

Block 9 - AI Agent1

Block 10 - Structured Output Parser1

Block 11 - Wait1

Block 12 - SelectDate

Block 13 - SetData

Block 14 - URL_Content

Block 15 - GetBody

Block 16 - NewsData

Block 17 - Gpt-4.1-nano

Block 18 - Send a text message

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions