G2 Review Monitoring and Notification Automation Workflow

This workflow implements automatic monitoring and notification of the latest comments from competitors on the G2 platform. It fetches comments daily, parses them, and converts them into Markdown format to avoid duplicate entries. New comments are sent in real-time to a designated Slack channel, ensuring the team is promptly informed. Additionally, new comments are structured and saved in Google Sheets for easier data analysis and management, helping the business efficiently grasp competitive dynamics and optimize market strategies.

Tags

Comment MonitoringAuto Notification

Workflow Name

G2 Review Monitoring and Notification Automation Workflow

Key Features and Highlights

This workflow automatically monitors the latest reviews of specified competitors on the G2 platform and performs the following automated actions:

  • Scheduled daily scraping of competitors’ newest reviews
  • Parsing review content and converting it into Markdown format for easy reading and archiving
  • Automatic detection of new reviews to avoid duplicate records
  • Real-time delivery of new reviews to designated Slack channels, ensuring the team stays promptly informed
  • Structured storage of new reviews in Google Sheets for subsequent data analysis and management

Core Problems Addressed

Helps businesses and marketing teams efficiently monitor competitors’ user feedback, eliminating the tedious manual search and organization of reviews. It enhances response speed and data utilization, supporting rapid adjustments in marketing strategies and product improvements.

Use Cases

  • Market competitive intelligence gathering
  • Customer feedback and reputation monitoring
  • User voice tracking for product managers and operations teams
  • Competitor activity analysis and report generation

Main Workflow Steps

  1. Scheduled Trigger: Automatically start the workflow at a fixed time every day
  2. Define Monitoring Targets: Set the list of competitors (e.g., Zendesk, Intercom, Dixa)
  3. Data Scraping: Use ScrapingBee API to fetch the HTML of competitors’ G2 review pages
  4. Review Content Extraction: Parse the review HTML to extract structured data such as review date, rating, and user information
  5. Format Conversion: Convert review HTML into Markdown format to improve content readability
  6. Duplicate Check: Retrieve historical reviews from Google Sheets and determine if the review is new
  7. Data Storage and Notification:
    • Append new reviews to the Google Sheets spreadsheet
    • Send notification messages to Slack channels to alert the team

Systems and Services Involved

  • G2 Platform: Source of competitor review data
  • ScrapingBee: Web scraping API service used to obtain dynamic review content
  • Google Sheets: Storage and management of review data and historical records
  • Slack: Real-time team notification of new review information
  • n8n: Automation workflow platform integrating all nodes to execute the process automatically

Target Users and Value

  • Marketing Teams: Gain real-time insights into competitors’ reputation and user feedback trends
  • Product Managers: Monitor the competitive product landscape to support product optimization decisions
  • Customer Support and Operations Teams: Quickly respond to market feedback and improve customer satisfaction
  • Data Analysts: Easily access structured review data to support market analysis reports

By leveraging no-code automation, this workflow enables intelligent monitoring and notification of competitor reviews, significantly enhancing monitoring efficiency and team collaboration. It is ideal for any enterprise team focused on user feedback and competitive dynamics.

Recommend Templates

Telegram Keyword-Triggered Facebook Interest Tag Query and Report Generation

This workflow automatically receives specific keywords in Telegram, calls the Facebook Graph API to query relevant advertising interest tags, and generates a structured CSV report, which is then sent back to the designated Telegram group. It addresses the need for marketers and data analysts to quickly obtain interest tag information before launching campaigns, enhancing the efficiency and accuracy of data acquisition, and facilitating team collaboration and information sharing.

Interest TagsAutomated Reports

Generating SEO Seed Keywords Based on Ideal Customer Profile (ICP)

This workflow utilizes AI intelligent models to automatically generate 15-20 SEO seed keywords that are closely related to target customers, covering customer needs, pain points, and search intent. By analyzing ideal customer profile information, it quickly generates a high-quality keyword list to help businesses accurately target potential customers, enhance SEO effectiveness, and improve conversion rates. It is suitable for B2B SaaS companies, marketing teams, and content creation teams, optimizing search strategies, enhancing content relevance, and strengthening market competitiveness.

SEO KeywordsCustomer Profile

Automate Pinterest Analysis & AI-Powered Content Suggestions With Pinterest API

This workflow regularly fetches Pin data from accounts through the Pinterest API and organizes it for storage in Airtable. Utilizing OpenAI's GPT-4o-mini model for in-depth analysis and content trend forecasting, the AI automatically generates content publishing recommendations and sends marketing trend reports to the marketing manager via email. This process achieves full automation from data collection to intelligent analysis and result delivery, significantly enhancing the intelligence and execution efficiency of content strategies, helping the marketing team accurately grasp content trends.

Pinterest AnalyticsSmart Recommendations

Email Validation and Domain Extraction

This workflow is primarily used for validating the effectiveness of email addresses and extracting domain names. It can automatically determine whether the email format is correct and extract domain information from it. Through this process, users can quickly filter valid email addresses, eliminate invalid data, and categorize domains, significantly enhancing data quality and subsequent processing efficiency. It is suitable for scenarios such as marketing automation, data cleansing, and customer relationship management, helping users ensure email delivery quality and optimize data management.

email validationdomain extraction

Transform Image to Lego Style Using Line and Dall-E

This workflow receives user images through a Line chatbot, automatically transforming them into LEGO-style artistic images and instantly replying to the user. Users do not need professional design skills; they can obtain creative images through simple conversations, significantly lowering the operational threshold and time cost. It is suitable for art enthusiasts, content creators, and marketers, enhancing the convenience and fun of personalized visual creation.

Lego styleImage translation

AI-Powered SEO Seed Keyword Generation Workflow

This workflow utilizes artificial intelligence technology to automatically generate a list of SEO seed keywords that closely align with the ideal customer profile. By analyzing customer needs and goals, it provides 15-20 precise and diverse keywords to help businesses optimize their SEO strategies, enhancing efficiency and conversion rates. It supports flexible output to various databases or spreadsheets, making it suitable for marketing teams, SEO consulting service providers, and new product promotions, assisting businesses in quickly building a scientifically sound keyword database.

AI KeywordsSEO Optimization

Auto-create and Publish AI Social Videos with Telegram, GPT-4, and Blotato

This workflow integrates Telegram, AI technology, and multi-platform publishing tools to achieve the entire process from receiving video creation instructions to automatically generating and publishing short videos. Users can send text or images via Telegram, and the system automatically generates video content, background music, and social media copy, allowing for one-click publishing to multiple major social platforms. Additionally, video data is synchronized and saved to Google Sheets for easy management and tracking, significantly enhancing the efficiency of content creation and promotion.

AI Short VideoMulti-Platform Publishing

Manual Trigger for Retrieving Mautic Marketing Data

This workflow allows for manual triggering to quickly batch retrieve marketing data from the Mautic platform, supporting OAuth2 authentication to ensure data security. Users can start it with a simple click, without the need for complex configurations. It is suitable for marketing teams and data analysts, helping them efficiently obtain leads, activities, and contact information, avoiding cumbersome manual exports, and facilitating subsequent data analysis and marketing automation, thereby enhancing work efficiency and decision-making capabilities.

Mautic DataMarketing Automation