Connect Shodan and ScrapeGraphAI to Build Intelligent Automations

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Frequently Asked Questions

How do I start an integration between Shodan and ScrapeGraphAI?

To start, connect both your Shodan and ScrapeGraphAI accounts to viaSocket. Once connected, you can set up a workflow where an event in Shodan triggers actions in ScrapeGraphAI (or vice versa).

Can we customize how data from Shodan is recorded in ScrapeGraphAI?

Absolutely. You can customize how Shodan 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.

How often does the data sync between Shodan and ScrapeGraphAI?

The data sync between Shodan and ScrapeGraphAI typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Shodan to ScrapeGraphAI?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Shodan and ScrapeGraphAI?

Yes, you can set conditional logic to control the flow of data between Shodan 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.

Shodan

About Shodan

Shodan is a search engine for Internet-connected devices, allowing users to discover and analyze devices and systems exposed to the public internet. It provides insights into the security and vulnerabilities of these devices, making it a valuable tool for cybersecurity professionals and researchers.

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ScrapeGraphAI

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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