Master Twitter Data Scraping: Workflow Tutorial by Nate Herk
- Authors
- Published on
- Published on
In this riveting episode of Nate Herk's AI Automation extravaganza, we dive headfirst into the thrilling world of scraping tweets for market insights, competitor analysis, and staying ahead of the curve in industry trends. Nate unveils a nifty workflow that streamlines the process, making it as easy as pie. The system is a powerhouse, updating a Google sheet with tweet details faster than a Bugatti Veyron on the Autobahn.
With the swagger of a seasoned pro, Nate walks us through setting up the API call step by step, leaving no stone unturned. He breaks down the intricacies of checking counts, setting variables, and navigating pagination like a maestro conducting a symphony. It's a masterclass in efficiency and finesse, all while keeping the audience on the edge of their seats.
As the demo unfolds, Nate delves into the Twitter API pricing, showcasing its affordability and user-friendly pay-as-you-go model. He dishes out insider tips on copying curl commands from API documentation for seamless HTTP requests, making the whole process feel like a walk in the park. Nate's enthusiasm is infectious as he guides us through configuring methods, URLs, and authorizations with the precision of a Formula 1 pit crew.
The adrenaline rush continues as Nate sheds light on the query and query type fields required for advanced search endpoints, demystifying the technical jargon with ease. He touches on the importance of pagination for fetching more tweets and demonstrates testing the API step live, leaving viewers with a newfound sense of empowerment. The episode culminates in a thrilling finale as Nate showcases how to clean up and extract tweet fields using code nodes, a feat that would make even the most seasoned tech enthusiasts nod in approval.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Watch How to Actually Scrape Twitter/X Data with n8n on Youtube
Viewer Reactions for How to Actually Scrape Twitter/X Data with n8n
Suggestion to use a loop node with a count of 3 for data retrieval
Interest in seeing an MCP application with n8n
Inquiry about a limited free option for own API account instead of third party
Curiosity about new features in MCP
Request for guidance on automating form submission for a PHP web app
Mention of Elon Musk's ownership without further details
Related Articles
Ultimate Assistant: GPT 4.1 & Think Tool Showcase for AI Automation
Nate Herk showcases the Ultimate Assistant with GPT 4.1 and the Think Tool, demonstrating seamless task automation and problem-solving in AI workflows.
Master Website Data Extraction with FireCrawl and NN Integration
Explore FireCrawl's powerful website data extraction capabilities, from scraping to mapping. Learn how to extract specific content using prompts and automate the process with NN integration. Discover tips for efficient data extraction and overcoming challenges in this comprehensive guide.
Naden's Native MCP Server Integration: Benefits, Limitations, and Demos
Naden's latest update introduces native integration for MCP servers, featuring the MCP server trigger and MCP client tool. Learn about the benefits, limitations, and practical demonstrations of this cutting-edge technology in AI automation.
Master AI Workflows: Nate Herk's Guide to Rag Chatbots & Automation
Explore three exciting AI workflows on Nate Herk | AI Automation: rag Pipeline chatbot, customer support automation, and LinkedIn content creation. Learn to leverage Pinecone, Google Drive, NN AI agent, and Open Router for seamless automation. Master AI workflows and credential setup effortlessly.