ManualTrigger Automate

用于ManualTrigger Automate,通过手动触发的复杂工作流程,自动化获取和提取API文档,整合信息并生成自定义API操作架构。该流程利用多种集成工具,确保高效的数据处理和存储,最终将结果上传至Google Drive,提升API文档管理的效率和准确性。

7/8/2025
88 nodes
Complex
manualcomplexsplitoutlangchainexecuteworkflowtriggerexecutiondatafiltersplitinbatcheswaitremoveduplicatesexecuteworkflowaggregategooglesheetsgoogle drivesticky noteadvancedapiintegrationlogicroutingconditional
Categories:
Complex WorkflowManual TriggeredData Processing & AnalysisBusiness Process Automation
Integrations:
SplitOutLangChainExecuteWorkflowTriggerExecutionDataFilterSplitInBatchesWaitRemoveDuplicatesExecuteWorkflowAggregateGoogleSheetsGoogle DriveSticky Note

Target Audience

Target Audience


- Developers looking to automate the process of extracting API documentation from various services.
- Data Analysts who need to gather and analyze API operations from multiple sources.
- Product Managers who want to understand the API capabilities of services they are evaluating.
- Technical Writers who need to compile API documentation for user manuals or help guides.
- Businesses that require an efficient way to manage and document API integrations.

Problem Solved

Problem Solved


This workflow addresses the challenge of manually researching and extracting API documentation from various online sources. It automates the process of:
- Searching for relevant API documentation based on provided service names.
- Scraping webpage content to extract useful information about APIs.
- Organizing and storing this information systematically in a Google Sheet for easy access and further analysis.

Workflow Steps

Workflow Steps


1. Manual Trigger: The workflow starts when the user clicks the 'Test workflow' button.
2. Fetch Pending Research: It retrieves a list of services pending research from a Google Sheet.
3. Web Search: For each service, it performs a web search to find relevant API documentation.
4. Scrape Webpage Contents: The workflow scrapes the contents of the search results to filter out irrelevant pages and stores useful information.
5. Check for Results: It checks if any results were found and processes them accordingly.
6. Extract API Operations: It extracts API operations from the scraped content using a language model (Google Gemini).
7. Store Extracted Data: The extracted API operations are stored in a Google Sheet for future reference.
8. Generate Custom Schema: If applicable, it generates a custom JSON schema from the collected API operations and uploads it to Google Drive.
9. Error Handling: The workflow includes error handling to manage any issues during the scraping or extraction processes, updating the Google Sheet with the status of each operation.

Customization Guide

Customization Guide


- Modify Search Queries: Users can change the search queries in the 'Query Templates' node to tailor the search results to specific needs.
- Adjust Scraping Parameters: The scraping settings in the 'Scrape Webpage Contents' node can be customized to include or exclude specific types of content or file formats.
- Change Output Formats: Users can modify how data is stored in Google Sheets or adjust the format of the generated JSON schema in the 'Contruct JSON Schema' node.
- Add Additional Nodes: Users can integrate additional nodes for further processing, such as sending notifications or integrating with other APIs.
- Set Up Conditional Logic: Users can adjust the conditions in the 'EventRouter' node to control the flow of the workflow based on specific criteria.