10 Best n8n Workflow Templates For Web Scraping

Extract web data with ten practical n8n templates that automate the collection, processing, and storage of information from websites and online services. From scheduled price monitoring to content aggregation and competitive intelligence gathering, these templates handle the technical challenges of web scraping while delivering structured data ready for analysis.

These scraping automations solve the persistent problems of manual data collection, inconsistency, time consumption, and human error. By establishing regular scraping schedules with proper data cleaning and storage processes, you create reliable information pipelines that continuously feed your business intelligence systems with fresh, relevant data from across the web.

Top 10 Web Scraping Workflows in n8n

1. Extract the Latest 20 TechCrunch Articles Using n8n

This workflow automates the retrieval of the latest 20 TechCrunch articles, collecting key information like URLs, metadata, and main content, saving users from manual data collection. It is designed for developers, content creators, and data analysts who want to streamline and integrate up-to-date technology news into their reporting or other systems.

• Complexity: Intermediate
• Required Integrations/Nodes: Google Sheets, Merge, Gmail, HTTP Request, Microsoft Excel, S3, Respond to Webhook
• Best For: Aggregating and automating the collection of TechCrunch articles for reporting, analysis, and integration into custom news feeds or systems

2. Automate GitHub Trending Repositories Scraping with n8n

This n8n workflow automatically retrieves GitHub’s trending repositories and structures the data for enhanced accessibility. It’s designed for developers, researchers, and data analysts who need to stay updated on popular open-source projects without manual effort.

• Complexity: Intermediate
• Required Integrations/Nodes: GitHub API (HTTP Request node), Data Transformation nodes (e.g., Function or Set nodes), and TOTP/2FA/QR Code support nodes if authentication is required
• Best For: Automating the extraction of trending GitHub projects to provide timely insights and streamline monitoring of industry trends

3. Efficient Data Scraping from ProductHunt Using Google Gemini and n8n

This workflow leverages Google Gemini and other integrated tools to extract and structure product data from Product Hunt, offering a seamless way to convert unstructured HTML into reliable JSON responses. Designed especially for developers, marketers, and data analysts, it simplifies integrating rich product information into your reports and applications.

• Complexity: Intermediate
• Required Integrations/Nodes: Google Sheets, HTTP Request, WhatsApp, Merge, Microsoft Excel, Gmail
• Best For: Automating the conversion of Product Hunt data into structured formats to enhance reporting and data analysis processes

4. Import Crunchbase Funding Data into Google Sheets with n8n

This workflow automatically retrieves the latest funding rounds from Crunchbase and enriches the data with additional insights such as LinkedIn URLs, monthly traffic, and company size, then logs everything directly into Google Sheets. It’s designed for business analysts, sales and marketing professionals, and venture capitalists who need to effortlessly monitor market trends and build targeted lead lists.

• Complexity: Intermediate
• Required Integrations/Nodes: Crunchbase, Google Sheets, Piloterr API, OpenWeatherMap, SIGNL4
• Best For: Streamlining data collection and analysis for monitoring funding activities and market trends

5. Automated System for Scraping and Storing Data from Websites

This workflow automates the extraction and storage of data from various country-specific web pages using HTTP Request nodes and stores the collected information in MongoDB. It’s designed for data analysts, researchers, and developers who need to regularly scrape, process, and update structured web data without manual intervention.

• Complexity: Advanced
• Required Integrations/Nodes: HTTP Request, Webhook, Respond to Webhook, Merge, GitHub, Google Sheets, Item Lists, Markdown
• Best For: Automating extensive data scraping and ensuring data integrity across multiple web pages

6. Automated Website Scraping Without Detection Using Scrappey and n8n

This n8n workflow, driven by Scrappey, effortlessly scrapes websites while bypassing anti-bot restrictions, ensuring reliable data extraction. It’s designed for data analysts, digital marketers, researchers, and developers who need to collect web data efficiently and seamlessly.

• Complexity: Intermediate
• Required Integrations/Nodes: Merge, Telegram, Google Sheets, HTTP Request, Microsoft Excel, Gmail, S3, Respond to Webhook, Webhook
• Best For: Automating data collection from websites without encountering anti-bot barriers

7. Comprehensive Web Scraper Workflow for n8n

This workflow automates web scraping by leveraging Selenium and cutting-edge AI tools to extract comprehensive, authenticated data from webpages. Built for developers, data analysts, and marketers, it streamlines large-scale data collection for competitive analysis, market research, and automated reporting.

• Complexity: Advanced
• Required Integrations/Nodes: Telegram, AI Models (OpenAI, Anthropic, Gemini, OpenRouter, Ollama), SerpAPI, HTTP Request, Merge, Markdown, WhatsApp, Google Drive, Binary Input Loader
• Best For: Automating authenticated, large-scale web scraping for data-driven insights and reporting.

8. Convert Web Pages to Structured JSON Using ScrapeNinja and AI

This workflow leverages ScrapeNinja and AI-powered code generation to automatically extract structured JSON data from any web page, ensuring reliable performance even when layouts change. It is designed for developers, data analysts, marketers, and businesses seeking a consistent, automated solution to capture and integrate web data.

• Complexity: Intermediate
• Required Integrations/Nodes: ScrapeNinja, AI-powered code generation, Postgres
• Best For: Automating the extraction of structured web data for integration into various applications and analytics workflows.

9. Automated AI-Driven Scraping and Summarization with NocoDB

This workflow automates the extraction and summarization of the latest posts from Colt’s News Site, using web scraping and AI-driven summarization to overcome the lack of an RSS feed. It’s tailored for Content Managers, Data Analysts, and Developers who need a streamlined approach to monitoring and managing telecom industry updates.

• Complexity: Intermediate
• Required Integrations/Nodes: WordPress, Merge, AI Models, OpenAI, Anthropic, Gemini, OpenRouter, Ollama, SerpAPI, HTTP Request, Markdown, WhatsApp, Telegram, Google Drive, Binary Input Loader, NocoDB
• Best For: Automating news extraction, summarization, and organized storage from a non-RSS-enabled site to enhance telecom industry monitoring.

10. Web Scraping and AI Summarization System Workflow

This workflow leverages web scraping and AI summarization to automatically extract and condense web content, making it invaluable for content creators, researchers, and marketers seeking streamlined insights. By integrating multiple advanced tools, it minimizes manual intervention and delivers precise, distilled information for effective content management and trend analysis.

• Complexity: Intermediate
• Required Integrations/Nodes: HTTP Request, Merge, AI Models, OpenAI, Anthropic, Gemini, OpenRouter, Ollama, SerpAPI, Markdown, WhatsApp, Telegram, Google Drive, Binary Input Loader
• Best For: Automating the extraction and summarization of web content to efficiently support market research and content analysis needs.

Wrap up

Ready to harness the wealth of online information? Get started with n8n today and implement these templates to build ethical, efficient web scraping workflows that gather exactly the data you need, whether you’re tracking market trends, monitoring competitor activities, or aggregating content from multiple sources for analysis and decision-making.