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Google Sheets and Information Extractor integration
Save yourself the work of writing custom integrations for Google Sheets and Information Extractor and use n8n instead. Build adaptable and scalable Data & Storage, Productivity, AI, and Langchain workflows that work with your technology stack. All within a building experience you will love.
How to connect Google Sheets and Information Extractor
- 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 Google Sheets and Information Extractor nodes
You can find Google Sheets and Information Extractor 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 Google Sheets and Information Extractor nodes one by one: input data on the left, parameters in the middle, and output data on the right.
Step 3: Connect Google Sheets and Information Extractor
A connection establishes a link between Google Sheets and Information Extractor (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 Google Sheets and Information Extractor 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 Google Sheets and Information Extractor with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.
Step 5: Test and activate your Google Sheets and Information Extractor workflow
Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Google Sheets to Information Extractor 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 Google Sheets and Information Extractor workflows
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AI Powered Web Scraping with Jina, Google Sheets and OpenAI : the EASY way
Purpose of workflow:
The purpose of this workflow is to automate scraping of a website, transforming it into a structured format, and loading it directly into a Google Sheets spreadsheet.
How it works:
Web Scraping: Uses the Jina AI service to scrape website data and convert it into LLM-friendly text.
Information Extraction: Employs an AI node to extract specific book details (title, price, availability, image URL, product URL) from the scraped data.
Data Splitting: Splits the extracted information into individual book entries.
Google Sheets Integration: Automatically populates a Google Sheets spreadsheet with the structured book data.
Step by step setup:
Set up Jina AI service:
Sign up for a Jina AI account and obtain an API key.
Configure the HTTP Request node:
Enter the Jina AI URL with the target website.
Add the API key to the request headers for authentication.
Set up the Information Extractor node:
Use Claude AI to generate a JSON schema for data extraction.
Upload a screenshot of the target website to Claude AI.
Ask Claude AI to suggest a JSON schema for extracting required information.
Copy the generated schema into the Information Extractor node.
Configure the Split node:
Set it up to separate the extracted data into individual book entries.
Set up the Google Sheets node:
Create a Google Sheets spreadsheet with columns for title, price, availability, image URL, and product URL.
Configure the node to map the extracted data to the appropriate columns.
Build your own Google Sheets and Information Extractor integration
Create custom Google Sheets and Information Extractor 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.
Google Sheets and Information Extractor integration details
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