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Information Extractor and Google Sheets integration
Save yourself the work of writing custom integrations for Information Extractor and Google Sheets and use n8n instead. Build adaptable and scalable AI, Langchain, Data & Storage, and Productivity workflows that work with your technology stack. All within a building experience you will love.
How to connect Information Extractor and Google Sheets
- Step 1: Create a new workflow
- Step 2: Add and configure nodes
- Step 3: Connect
- Step 4: Customize and extend your integration
- Step 5: Test and activate your workflow
Step 1: Create a new workflow and add the first step
In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Step 2: Add and configure Information Extractor and Google Sheets nodes
You can find Information Extractor and Google Sheets in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure Information Extractor and Google Sheets nodes one by one: input data on the left, parameters in the middle, and output data on the right.
Step 3: Connect Information Extractor and Google Sheets
A connection establishes a link between Information Extractor and Google Sheets (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.
Step 4: Customize and extend your Information Extractor and Google Sheets integration
Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Information Extractor and Google Sheets with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.
Step 5: Test and activate your Information Extractor and Google Sheets workflow
Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Information Extractor to Google Sheets or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.
Popular Information Extractor and Google Sheets workflows
+6
API Schema Extractor
This workflow automates the process of discovering and extracting APIs from various services, followed by generating custom schemas. It works in three distinct stages: research, extraction, and schema generation, with each stage tracking progress in a Google Sheet.
🙏 Jim Le deserves major kudos for helping to build this sophisticated three-stage workflow that cleverly automates API documentation processing using a smart combination of web scraping, vector search, and LLM technologies.
How it works
Stage 1 - Research:
Fetches pending services from a Google Sheet
Uses Google search to find API documentation
Employs Apify for web scraping to filter relevant pages
Stores webpage contents and metadata in Qdrant (vector database)
Updates progress status in Google Sheet (pending, ok, or error)
Stage 2 - Extraction:
Processes services that completed research successfully
Queries vector store to identify products and offerings
Further queries for relevant API documentation
Uses Gemini (LLM) to extract API operations
Records extracted operations in Google Sheet
Updates progress status (pending, ok, or error)
Stage 3 - Generation:
Takes services with successful extraction
Retrieves all API operations from the database
Combines and groups operations into a custom schema
Uploads final schema to Google Drive
Updates final status in sheet with file location
Ideal for:
Development teams needing to catalog multiple APIs
API documentation initiatives
Creating standardized API schema collections
Automating API discovery and documentation
Accounts required:
Google account (for Sheets and Drive access)
Apify account (for web scraping)
Qdrant database
Gemini API access
Set up instructions:
Prepare your Google Sheets document with the services information. Here's an example of a Google Sheet – you can copy it and change or remove the values under the columns. Also, make sure to update Google Sheets nodes with the correct Google Sheet ID.
Configure Google Sheets OAuth2 credentials, required third-party services (Apify, Qdrant) and Gemini.
Ensure proper permissions for Google Drive access.
Build your own Information Extractor and Google Sheets integration
Create custom Information Extractor and Google Sheets workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
Information Extractor and Google Sheets integration details
Other integrations with Information Extractor
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FAQs
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