Connect SQL Server and ScrapeGraphAI to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for SQL Server
Choose an Action
Automatically do this!
Convert Web Content to Markdown
Scrape Website
Search Scraper
Enable Integrations or automations with these events of SQL Server and ScrapeGraphAI
Enable Integrations or automations with these events of SQL Server and ScrapeGraphAI
Actions
Execute a query
Execute any query on SQL Server Database
Insert a row
Insert a row in SQL Server Database
Update row
Update row in SQL Server Database Table
Find row via custom query
Find a row via query in SQL Server Database table
Find row
Find a row in SQL Server Database
Create or Update
Perform Upsert (Create or Update) operation in any SQL Server Database table.
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Frequently Asked Questions
To start, connect both your SQL Server and ScrapeGraphAI accounts to viaSocket. Once connected, you can set up a workflow where an event in SQL Server triggers actions in ScrapeGraphAI (or vice versa).
Absolutely. You can customize how SQL Server data is recorded in ScrapeGraphAI. This includes choosing which data fields go into which fields of ScrapeGraphAI, setting up custom formats, and filtering out unwanted information.
The data sync between SQL Server and ScrapeGraphAI typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between SQL Server and ScrapeGraphAI. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About ScrapeGraphAI
ScrapeGraphAI is a powerful tool designed to simplify the process of web scraping and data extraction. It leverages advanced AI algorithms to efficiently gather and organize data from various online sources, making it an essential tool for businesses and developers who need to collect large volumes of data for analysis and decision-making.
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