Scrape Trustpilot Reviews with DeepSeek, Analyze Sentiment with OpenAI

This workflow enables real-time monitoring of new or updated data in Google Sheets. When relevant rows are updated, the system automatically extracts key fields such as "Security Code," "Price," and "Quantity," and converts them into a neatly formatted ASCII table, which is then sent to a designated channel via Discord's Webhook. This process significantly enhances the timeliness and accuracy of data synchronization, making it suitable for teams that require quick sharing and collaboration, especially in the fields of finance and project management.

This workflow automatically retrieves website traffic data from the Umami analytics tool on a regular basis. It utilizes AI models for in-depth interpretation and SEO analysis, ultimately saving the results to a Baserow database. By comparing this week's performance with last week's, it generates optimization suggestions, significantly enhancing the efficiency of data insights. It helps website operators and SEO experts quickly identify traffic changes, optimize content strategies, save time, and avoid misjudgments, making it an effective tool for improving website competitiveness.

This workflow is designed to monitor price fluctuations in the cryptocurrency market in real-time. It automatically retrieves data from the Binance exchange at scheduled intervals and filters out cryptocurrencies with price changes exceeding 15%. The organized key information will be pushed to a designated group via Telegram, ensuring that users stay updated on market dynamics and can quickly seize investment opportunities or risks, thereby enhancing decision-making efficiency. It is applicable in various scenarios, including for traders, analysts, and cryptocurrency asset management teams.

This workflow combines advanced data collection services with AI language models to automatically scrape information from personal and company pages on LinkedIn, generating high-quality company stories or personal profiles. Users can efficiently obtain structured data, avoiding the time wasted on manual operations. It also supports saving the scraped results as local files or real-time pushing via Webhook for convenient later use. This is suitable for various scenarios such as market research, recruitment, content creation, and data analysis, significantly enhancing information processing efficiency.

This workflow is designed to obtain real-time latitude, longitude, and timestamp data from the International Space Station and automatically store it in a Google BigQuery database. By using scheduled triggers and API calls, it eliminates the tediousness of manual queries and data entry, ensuring the timeliness and completeness of the data. It is suitable for fields such as aerospace research, educational platforms, and data analysis, facilitating real-time monitoring, analysis, and visualization of the space station's location.

This workflow automates the scraping of company data from the Indeed website, utilizing advanced technology to overcome anti-scraping restrictions. It combines data management and intelligent analysis tools to achieve efficient content extraction and summarization. Users can quickly access recruitment information and updates from target companies, addressing the complexities and inefficiencies of traditional data collection processes. It is applicable in various scenarios such as human resources, market research, and AI development, significantly enhancing data processing efficiency and decision-making capabilities.

This workflow automatically listens for diary reply messages in Telegram, identifies a specific format, and organizes and saves them into a Google Sheets spreadsheet. By automatically capturing and structuring the content of user replies, it addresses the cumbersome issue of manually organizing diaries, improving efficiency and accuracy, and preventing information loss and duplicate entries. It is suitable for both individuals and teams for unified management and backup.

This workflow automates the collection and updating of LinkedIn contact information. It is triggered on a schedule to read personal profile URLs from Google Sheets, utilizes the Prospeo.io API to query detailed information (such as name, email, position, etc.), and writes the data back to Google Sheets. This process effectively addresses the tediousness of manually searching for contact information, enhances data completeness and accuracy, and simplifies data maintenance. It is suitable for scenarios where sales, business development, and recruitment teams need to quickly obtain contact information.