
When this happens...

Automatically do this!
Scrape Webpage
Enable Integrations or automations with these events of SQL Server and ScraperAPI
Execute any query on SQL Server Database
Insert a row in SQL Server Database
Update row in SQL Server Database Table
Find a row via query in SQL Server Database table
Find a row in SQL Server Database
Perform Upsert (Create or Update) operation in any SQL Server Database table.

Gain insights into how viaSocket functions through our detailed guide. Understand its key features and benefits to maximize your experience and efficiency.

Unlock your team's potential with 5 straightforward automation hacks designed to streamline processes and free up valuable time for more important work.

Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your SQL Server and ScraperAPI accounts to viaSocket. Once connected, you can set up a workflow where an event in SQL Server triggers actions in ScraperAPI (or vice versa).
Absolutely. You can customize how SQL Server data is recorded in ScraperAPI. This includes choosing which data fields go into which fields of ScraperAPI, setting up custom formats, and filtering out unwanted information.
The data sync between SQL Server and ScraperAPI 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 ScraperAPI. 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.
ScraperAPI is a powerful tool designed to simplify the process of web scraping by handling proxies, browsers, and CAPTCHAs for you. It allows developers to easily extract data from websites without worrying about the complexities of web scraping infrastructure.
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