Avaza and LinkedIn Data Scraper Integration

In the workspace, click the “Create New Scenario” button.

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Avaza, triggered by another scenario, or executed manually (for testing purposes). In most cases, Avaza or LinkedIn Data Scraper will be your first step. To do this, click "Choose an app," find Avaza or LinkedIn Data Scraper, and select the appropriate trigger to start the scenario.

Select the Avaza node from the app selection panel on the right.

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Avaza

Click on the Avaza node to configure it. You can modify the Avaza URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Avaza

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Run node once

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Next, click the plus (+) icon on the Avaza node, select LinkedIn Data Scraper from the list of available apps, and choose the action you need from the list of nodes within LinkedIn Data Scraper.

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Avaza

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LinkedIn Data Scraper

Now, click the LinkedIn Data Scraper node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your LinkedIn Data Scraper settings. Authentication allows you to use LinkedIn Data Scraper through Latenode.

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LinkedIn Data Scraper

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Connect LinkedIn Data Scraper

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Run node once

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Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Avaza

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LinkedIn Data Scraper

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Connect LinkedIn Data Scraper

LinkedIn Data Scraper Oauth 2.0

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Select an action *

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The action ID

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Run node once

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Use various Latenode nodes to transform data and enhance your integration:

• Branching: Create multiple branches within the scenario to handle complex logic.
• Merging: Combine different node branches into one, passing data through it.
• Plug n Play Nodes: Use nodes that don’t require account credentials.
• Ask AI: Use the GPT-powered option to add AI capabilities to any node.
• Wait: Set waiting times, either for intervals or until specific dates.
• Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
• Iteration: Process arrays of data when needed.
• Code: Write custom code or ask our AI assistant to do it for you.

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LinkedIn Data Scraper

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Trigger on Webhook

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Webhook response

After configuring Avaza, LinkedIn Data Scraper, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Run the scenario by clicking “Run once” and triggering an event to check if the Avaza and LinkedIn Data Scraper integration works as expected. Depending on your setup, data should flow between Avaza and LinkedIn Data Scraper (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.