This workflow is designed to automatically identify and filter high-value B2B leads. It collects customer information through forms and enriches individual and company data using Clearbit services, ensuring that only valid business emails are processed. It filters high-quality clients based on company type and employee size, and automatically sends personalized thank-you emails to achieve quick responses and efficient management, enhancing customer experience and sales efficiency. It is suitable for use by sales, marketing, and customer service teams.

This workflow listens for unread emails in real-time via the IMAP protocol, automatically converts the email content into HTML format, and uploads it to GitHub Gist to generate a private web link. Subsequently, it sends a notification message through Telegram containing the email preview link. The web page with the email content is automatically deleted three hours after being sent, ensuring information security and efficient use of storage space. This helps users conveniently access important email information, especially in mobile or non-email environments, enhancing the efficiency and security of email management.

This workflow implements an intelligent automatic retry mechanism that effectively manages exceptions in automated tasks. It differentiates between "known errors" and other errors; for unknown errors, it will automatically retry until the maximum number of attempts is reached, while known errors are directly marked and skipped for retry. This design enhances the stability of the process and the efficiency of resource utilization, making it particularly suitable for scenarios such as API calls and data synchronization, ensuring a quick recovery in the event of temporary failures.

This workflow integrates Bright Data and Google Gemini AI to achieve intelligent web data scraping and processing. Users only need to input the target URL and format instructions, and the AI agent will automatically select the appropriate scraping tool, supporting multiple data format outputs, and push the results via Webhook. At the same time, the scraped content will be saved as a local file for easy subsequent analysis. This system lowers the technical barriers to web scraping, improves efficiency, and is suitable for various scenarios such as market research, content aggregation, and data analysis.

The main function of this workflow is to monitor "move" and "download" events in a specified folder on the Box cloud storage platform in real time. Once relevant actions are detected, the system automatically triggers subsequent processing workflows, such as sending notifications or data synchronization. This process ensures that users can quickly respond to changes in the status of critical folders, improving work efficiency and reducing manual monitoring costs. It is suitable for users such as enterprise IT administrators and project managers who require automated file management.

This workflow automatically retrieves geographical location information based on the user's inputted IP address, intelligently determines whether the user is located in Spain, and subsequently sends a welcome email in the appropriate language. This process automates email sending, enhances user experience, and effectively improves the targeting of marketing efforts, making it particularly suitable for user registration and email marketing scenarios in multinational websites or applications. By simplifying multilingual communication, it helps businesses increase the relevance and satisfaction of user engagement.

This workflow automatically generates an SEO blueprint report for service-oriented pages. It can crawl and analyze the content of competitors' pages, examining their structure and keyword trends. Through an in-depth analysis of user search intent, combined with intelligent models, it identifies content gaps and optimization opportunities, ultimately outputting page content structure recommendations that align with SEO best practices. It is suitable for digital marketing teams, SEO consultants, and website builders, helping them develop effective content strategies to enhance user experience and conversion rates.

This workflow implements the automatic collection and sentiment analysis of customer feedback, ensuring that data processing is efficient and accurate. After customers submit feedback through a customized form, the system automatically utilizes AI technology for sentiment classification and integrates the analysis results with the original data, ultimately storing it in Google Sheets. This process not only enhances the response speed of the customer service team but also helps product managers and market researchers quickly gain insights into customer satisfaction and needs, facilitating improved business decision-making and service quality.

This workflow automatically listens for Fork events in a specified GitHub repository, real-time retrieving detailed information about Fork users and intelligently integrating with the Pipedrive customer relationship management system. It can automatically determine whether a user already exists, create or update customer information, and generate relevant sales leads and notes. This significantly enhances the efficiency and accuracy of capturing sales leads, helping businesses better manage potential customers and partners.

This workflow automates the replacement of specified images in Google Slides presentations through a public API interface. Users only need to provide the presentation ID, image identifier, and the URL of the new image, and the system will automatically locate and replace the corresponding images while updating the alt text. This process supports batch replacements, significantly improving the efficiency of slide updates and personalized customization, and addressing the issues of inefficiency and errors during manual updates. It is suitable for various scenarios, including marketing, training instructors, and design teams.

This workflow is designed to automate the processing of unfulfilled orders in a Shopify store. It regularly filters out valid orders that were created more than 24 hours ago, calls the API to obtain fulfillment order IDs, and automatically creates fulfillment requests while sending notifications to customers. This process supports batch processing, making it suitable for merchants selling digital goods, significantly enhancing order processing efficiency, reducing manual intervention and error risks, and providing merchants with an efficient and stable fulfillment management solution.

This workflow utilizes Google's Gemini 2.0 Flash AI model to intelligently analyze video content. Users simply need to input the video URL, and it will automatically download and upload to the Gemini platform, providing detailed visual descriptions, including key elements, actions, and brand information. This automated process significantly enhances the efficiency and accuracy of video processing, addressing the time-consuming issues associated with traditional manual analysis. It is applicable in various scenarios such as content review, media management, and marketing, thereby improving the accessibility and business value of videos.

This workflow utilizes AI intelligent classification technology to automatically process user-submitted fault and request reports, achieving efficient task allocation and time management. By automating the analysis of event categories, response, and resolution times, it ensures that critical tasks are prioritized. Additionally, the system supports multi-channel notifications to promptly communicate task statuses, enhancing team collaboration efficiency and customer satisfaction. It is suitable for customer service, technical support, and software development teams, helping to alleviate workloads, improve response speed, and increase task management transparency.

This workflow combines web data scraping and large language models to achieve structured data extraction and deep analysis of web pages. Users can automatically retrieve and parse web content, extract themes, identify trends, and conduct sentiment analysis, generating easy-to-understand reports. It supports saving results as local files and provides real-time notifications via Webhook, making it suitable for various scenarios such as media monitoring, market research, and data processing, significantly improving the efficiency and accuracy of data analysis.

This workflow can automatically read emails with XML attachments from an IMAP mailbox and convert the XML data into JSON format. Subsequently, it sends the processed data to a specified API interface via an HTTP POST request, enabling the automatic extraction and transmission of email data. It simplifies the traditional manual processing workflow, enhances data processing efficiency, and is suitable for businesses that require real-time integration of sales orders and other business data, saving time and reducing human error.

This workflow is primarily used for the secure reception and processing of encrypted data requests. After receiving encrypted information via Webhook, it utilizes RSA and AES algorithms for decryption to ensure data security during transmission. The system dynamically identifies the user's current operating interface, intelligently branching to handle different data requests, and returns the processed results in an encrypted format, thereby safeguarding user privacy and data integrity. It is applicable in scenarios such as chatbots and appointment systems, enhancing user interaction experience and process flexibility.

The main function of this workflow is to automatically retrieve website traffic data from Google Analytics, analyzing page engagement, search performance, and country distribution over the past two weeks. By utilizing AI to intelligently interpret the data, it generates professional SEO optimization recommendations and saves the results to a Baserow database for easier management and tracking. This process simplifies data comparison and analysis, enhancing the efficiency and accuracy of SEO decision-making, making it highly suitable for website operators and digital marketing teams.

This workflow is designed to automate the acquisition of the latest technology articles on Hacker News, utilizing AI technology to analyze the content of the articles and filter topics related to automation and artificial intelligence. It can generate article summaries and images, and create high-quality videos through a video generation platform. Ultimately, it achieves cloud storage of the content and automatic publishing on social media, helping content creators and new media operators efficiently produce and distribute diverse technology content, thereby enhancing the effectiveness of communication.

This workflow is designed to automate the management of team members and projects, enhancing efficiency and reducing manual data entry. It receives information through Webhooks, intelligently determining how to process users and projects, ensuring valid associations with the current semester. It automatically creates and updates user data, avoiding duplicate information, and centrally manages all operations in a Notion database. It is suitable for educational institutions, corporate collaboration, and innovation centers, streamlining management processes, ensuring data accuracy and completeness, and supporting efficient team operations.

The intelligent email appointment assistant automatically identifies and processes emails, intelligently assesses appointment requests, and generates personalized replies by integrating calendar data. This workflow can coordinate meeting times autonomously, addressing the cumbersome and inefficient issues associated with traditional email scheduling. It is suitable for professionals who require efficient email communication and schedule management, especially in remote work environments, significantly enhancing office efficiency, avoiding scheduling conflicts, and improving professional image.

This workflow is designed to convert webpage HTML content into structured Markdown format and extract all links from the webpage. By utilizing the Firecrawl.dev API, it supports batch processing of URLs, automatically managing request rates to ensure stable and efficient content crawling and conversion. It is suitable for scenarios such as data analysis, content aggregation, and market research, helping users quickly acquire and process large amounts of webpage information, reducing manual operations and improving work efficiency.

The smart factory data generator periodically generates simulated operational data for factory machines, including machine ID, temperature, runtime, and timestamps, and sends it to a designated message queue via the AMQP protocol. This workflow effectively addresses the lack of real-time data sources in smart factory and industrial IoT environments, supporting developers and testers in system functionality validation, performance tuning, and data analysis without the need for real devices, thereby enhancing overall work efficiency.

This workflow is a web content scraping and processing tool that can automatically retrieve web page content from specified URLs and convert it into Markdown format. It supports two scraping modes: complete and simplified. The simplified mode reduces links and images to prevent excessively long content from wasting computational resources. The built-in error handling mechanism intelligently responds to request exceptions, ensuring the stability and accuracy of the scraping process. It is suitable for various scenarios such as AI chatbots, data scraping, and content summarization.

This workflow is manually triggered to automatically create new tasks on the Asana platform, streamlining task management and enhancing work efficiency. Users can quickly generate tasks with a single click, effectively avoiding the cumbersome process of manually inputting each task, ensuring that tasks are added to the designated workspace in a timely and accurate manner. It is particularly suitable for project management, team collaboration, and other scenarios, helping team members and project managers efficiently manage tasks and maintain the continuity of project progress.