n8n Workflow Templates

This workflow automatically retrieves order data from the Shopify store every week, quickly calculates the total number of orders and total sales, and records the results in Google Sheets. At the same time, it sends sales report notifications via Slack to help the team stay updated on business dynamics in real-time. This process eliminates the cumbersome traditional manual statistics, ensuring data accuracy and timeliness, making it suitable for e-commerce operations teams, sales analysts, and finance personnel, thereby enhancing work efficiency and team collaboration.

This workflow automatically retrieves the latest videos from a specified YouTube channel and uses AI to generate promotional copy that complies with the character limits of platform X, ensuring that the content is fresh and non-repetitive. After publishing, relevant records are synchronized to Google Sheets for management, and notifications are sent through channels such as Discord, Slack, and Gmail to ensure team information is up to date. This process effectively streamlines content promotion operations, enhancing the efficiency of social media updates and interaction, making it particularly suitable for self-media and marketing teams.

This workflow can automatically scrape watermark-free original videos from specified TikTok video pages and upload them to Google Drive, generating publicly shareable links. By parsing the embedded JSON data within the page, it accurately locates the video playback address, avoiding the complicated process of manually downloading watermarked videos. This tool is particularly suitable for content creators and social media managers, simplifying the acquisition and management of video materials, enhancing work efficiency, and saving a significant amount of time and effort.

This workflow automates the integration between Gravity Forms and the KlickTipp email marketing platform, automatically handling customer data and feedback. Through intelligent data conversion and tag management, the system can subscribe contacts in real-time, dynamically create and update tags, and achieve precise user segmentation and personalized marketing. This process simplifies data handling, eliminates errors from manual entry, and enhances the efficiency of customer relationship management, making it particularly suitable for marketing teams and customer management personnel.

This workflow is capable of automatically scraping the latest tweets about "verstappen" on Twitter, filtering out new content that has not yet been stored, and synchronizing the details to an Airtable database. This process enables real-time monitoring of social media dynamics on specific topics, prevents the storage of duplicate data, and enhances the accuracy and timeliness of information tracking. It is suitable for professionals in various fields such as news media, marketing, and data analysis, effectively reducing the burden of manual retrieval and organization.

This workflow can automatically process podcast transcripts using AI technology for long text segmentation, summary generation, topic extraction, and related question creation. It ultimately generates a summary report in a structured HTML format and sends it via email. The main purpose is to help users quickly grasp the core information of podcast content, enhance the interactivity and depth of thought regarding the content, while saving editing and distribution time. It is suitable for user groups such as podcast teams, educational institutions, and content creators.

This workflow utilizes automation to monitor customer activities on LinkedIn in real-time, such as job changes and new posts, thereby enhancing the efficiency of the sales team's customer relationship management. It integrates data from HubSpot and LinkedIn, automatically updating customer information to Google Sheets, and notifies the sales manager of key developments via email. This ensures the timeliness and accuracy of customer management, reduces the complexities of manual maintenance, and optimizes the quality of customer service.

This workflow combines data scraping services with intelligent analysis technology to automatically collect the latest job postings from the Indeed website, assess the match between positions and users, and store the results in a structured format in Google Sheets. Users can flexibly input job keywords and locations through a custom form to achieve precise information retrieval. This process addresses the inefficiency of manual screening, providing real-time updates on job opportunities, making it suitable for job seekers, recruitment consultants, and HR teams, thereby enhancing the management and analysis efficiency of recruitment information.

This workflow utilizes OpenAI's text-to-speech API to quickly convert input text into natural and fluent audio files in .mp3 format. Users can customize the text and voice style, making it suitable for scenarios such as content creation, customer service systems, and smart hardware. It significantly reduces the cost of manual recording and improves efficiency. The process is simple and user-friendly, helping users quickly generate high-quality voice content, enhancing communication effectiveness and user experience.

This workflow automatically calls the Shopify API to retrieve the previous day's orders and customer UTM parameters daily, synchronizing the structured data to the Baserow database. This process not only addresses the cumbersome issue of manually organizing data but also achieves seamless integration of order and marketing data, helping e-commerce operators to analyze advertising effectiveness in depth, optimize marketing strategies, and enhance decision-making efficiency. It is suitable for e-commerce teams, marketing personnel, and data analysts.

This workflow automatically retrieves the latest product information published on the Product Hunt platform every day, including the name, tagline, description, and official website link. It intelligently handles redirects and unnecessary parameters in the official website links to ensure data accuracy and conciseness. Ultimately, the organized product details are appended or updated in a designated Google Sheets document, making it convenient for users to manage and analyze the information, thereby enhancing the efficiency of information acquisition. It is suitable for entrepreneurs, investors, and content creators who need to track the latest product trends.

This workflow automatically monitors new posts related to specific topics on the Reddit platform, filtering for original content that has received at least 5 upvotes in the past 7 days. Using intelligent classification technology, it assesses whether the posts are truly relevant and extracts key information to generate structured data for easier subsequent analysis. This process helps product marketing teams, community operators, and data analysts quickly access high-quality information, enhancing the efficiency of social media content monitoring and user feedback collection.

This workflow integrates advanced AI models to automatically generate high-quality tweets with viral potential, supporting both scheduled and manual posting. Users can customize influencer profiles based on personal style and target areas, ensuring that the content complies with social media platform restrictions. This system is designed to enhance content creation efficiency, reduce the risk of posting failures, and optimize users' social media operation strategies, making it suitable for content creators and brand marketers.

This workflow builds an intelligent AI chat agent that allows users to converse with it in natural language to query and analyze website data from Google Search Console in real time. Leveraging OpenAI's intelligent conversational understanding and the historical memory storage of a Postgres database, users can easily obtain accurate data reports without needing to understand API details. Additionally, the agent can proactively guide users, optimizing the data querying process and enhancing user experience, while supporting multi-turn conversations to simplify data analysis and decision-making processes.

This workflow implements an automated ETL data pipeline that regularly scrapes tweets on specific topics from Twitter, performs sentiment analysis, and stores the data in MongoDB and Postgres databases. The analysis results are filtered and pushed to a Slack channel, allowing the team to receive important information in real time. This process effectively avoids the tedious task of manually monitoring social media, improves data processing efficiency, and supports quick responses to market dynamics and brand reputation management.

This workflow utilizes advanced AI technology to automate the production of short videos for TikTok, YouTube Shorts, and Instagram Reels. Users only need to provide their creative ideas, and the system will automatically generate subtitles, images, and voiceovers that align with TikTok's style, combining these elements into a high-quality video. The final video will be automatically uploaded to Google Drive and the team will be notified via Discord, significantly enhancing content creators' production efficiency, lowering the barriers to entry, and making the bulk production of short video content simple and quick.

This workflow implements a lightweight GitHub MCP server, allowing users to conveniently query and manage issues in specified repositories through the MCP client. The main features include retrieving the latest issues, viewing issue details and comments, adding comments, and supporting bidirectional interaction. By flexibly calling the GitHub API and simplifying data processing, users can manage project issues safely and efficiently, enhancing team collaboration and response speed while meeting internal security and access control requirements.

This workflow is designed to automate the reception and analysis of user-reported suspicious emails, particularly phishing emails with .eml attachments. It captures new emails through an IMAP email trigger and transfers the attachments to a secure analysis platform for rule detection. The system automatically categorizes the analysis results and generates detailed reports, which are pushed in real-time to a designated Slack channel. Additionally, if an email is missing an attachment, the system will issue a reminder to ensure that the security team can quickly respond to potential threats.

This workflow automatically retrieves new emails from Gmail and utilizes advanced language models and text classification techniques to achieve intelligent categorization and customized responses for emails. It can quickly identify different types of business emails, such as guest submissions and course inquiries, and automatically send appropriate replies. Meanwhile, processed emails are marked as read and tagged, and the sender information is synchronized with the email marketing system, greatly enhancing email management efficiency and customer relationship maintenance.

This workflow implements real-time monitoring of GitHub notifications, automatically retrieving the latest update information every minute and organizing it for push to a designated Discord channel. By utilizing dynamic time calculations and content formatting, it ensures that the messages pushed are concise and efficient, avoiding unnecessary notifications. It is suitable for software development teams and project managers, helping them to quickly respond to project dynamics and improve collaboration efficiency, thus addressing the inefficiency of manually checking notifications.

This workflow utilizes AI intelligent agents and custom tools to enable quick querying and intelligent responses for popular post data on the Hacker News platform. Users can obtain the top 50 most popular posts and detailed information through natural language commands. It includes built-in data cleaning and formatting features to ensure the results are clearly structured. This is suitable for technical researchers, content creators, and developers, helping them to rapidly access authoritative and up-to-date technology information, thereby enhancing the efficiency of information retrieval.

This workflow is designed to help individuals or businesses automatically generate and schedule high-quality social media content. It triggers the generation of tweets that align with the user's personalized settings every six hours, utilizing AI-driven writing to ensure the uniqueness and compliance of the content. Additionally, users can flexibly publish tweets manually to meet various needs, enhancing brand influence, lowering the operational threshold for content creation, and aiding in the continuous attraction of followers and improvement of engagement rates.

This workflow automates the recognition and data extraction of invoice emails. It periodically retrieves emails from Microsoft Outlook, intelligently identifying and extracting key information from supplier invoices. Using AI models for classification and OCR processing, it automatically downloads and organizes invoice data, ultimately structuring and uploading it to Microsoft Excel 365. This process significantly reduces the workload of manual processing and enhances the accuracy and efficiency of invoice handling, making it suitable for financial management in various types of enterprises.

This workflow automates the processing of files in Google Drive, allowing for the bulk retrieval of file lists from specified folders, quickly setting file permissions to "Anyone with the link can view," and generating corresponding direct download links. This process significantly enhances the efficiency of file sharing and public access, making it suitable for scenarios involving enterprises, teams, and educational institutions that need to centrally manage and share large volumes of files, greatly saving time and effort compared to manual operations.