Stripe Recent Checkout Sessions Data Filtering and Custom Fields Extraction
This workflow automatically retrieves checkout session data from the Stripe API for the past 20 days, supporting pagination to obtain complete information. It splits the returned data, focusing on the extraction and filtering of custom fields, allowing users to filter valid session data based on criteria such as nickname and job title. This process significantly enhances the efficiency of data acquisition and analysis, making it suitable for operational and analytical needs in industries such as e-commerce and SaaS, aiding in precise marketing and customer segmentation.
Workflow Name
Stripe Recent Checkout Sessions Data Filtering and Custom Fields Extraction
Key Features and Highlights
This workflow automates the retrieval of all checkout session data from the past 20 days via the Stripe API, supporting complete pagination to ensure full data acquisition. It then processes the returned data by splitting the session list, with a particular focus on extracting and filtering custom fields. Users can filter sessions based on custom field values such as nickname and job_title, facilitating targeted analysis and subsequent processing.
Core Problems Addressed
- Automates the acquisition of large volumes of checkout sessions, eliminating manual querying and cumbersome pagination.
- Enables refined filtering of sessions containing specific custom fields, enhancing data relevance and usability.
- Provides clear data structure decomposition for easier visualization and further processing.
Use Cases
- E-commerce platforms or SaaS product teams needing regular analysis of Stripe checkout data to understand customer behavior and order details.
- Customer segmentation and targeted marketing based on custom fields filled by customers, such as user nickname and job title.
- Data analysts or operations personnel seeking quick access to transaction data that meet specific criteria, improving work efficiency.
Main Workflow Steps
- Use an HTTP request node to call the Stripe API and retrieve all checkout sessions from the last 20 days, automatically handling pagination to fetch complete data.
- Split the “data” array from the returned checkout sessions list to process each session individually.
- Further split the custom_fields array within each checkout session to enable independent handling of each custom field.
- Apply filter nodes to select sessions containing key custom fields such as nickname and job_title.
Involved Systems or Services
- Stripe API (Checkout sessions data retrieval)
- n8n Automation Platform (Data splitting and filtering nodes)
Target Users and Value
- E-commerce operations personnel: Automatically obtain the latest order data and filter specific customer information to support precise marketing efforts.
- Data analysts: Quickly extract and decompose transaction data, saving time on data cleaning.
- SaaS product managers: Monitor user checkout behavior and custom profile data in real-time to optimize product experience.
- Automation enthusiasts and technical teams: Build scalable data processing workflows to achieve automated business data management.