How to connect LinkedIn Data Scraper and Wave
Create a New Scenario to Connect LinkedIn Data Scraper and Wave
In the workspace, click the “Create New Scenario” button.

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

Add the LinkedIn Data Scraper Node
Select the LinkedIn Data Scraper node from the app selection panel on the right.

LinkedIn Data Scraper
Configure the LinkedIn Data Scraper
Click on the LinkedIn Data Scraper node to configure it. You can modify the LinkedIn Data Scraper URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Wave Node
Next, click the plus (+) icon on the LinkedIn Data Scraper node, select Wave from the list of available apps, and choose the action you need from the list of nodes within Wave.

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Authenticate Wave
Now, click the Wave node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Wave settings. Authentication allows you to use Wave through Latenode.
Configure the LinkedIn Data Scraper and Wave Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the LinkedIn Data Scraper and Wave Integration
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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AI Anthropic Claude 3
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Trigger on Webhook
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Save and Activate the Scenario
After configuring LinkedIn Data Scraper, Wave, 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.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the LinkedIn Data Scraper and Wave integration works as expected. Depending on your setup, data should flow between LinkedIn Data Scraper and Wave (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect LinkedIn Data Scraper and Wave
LinkedIn Data Scraper + Wave + Slack: When LinkedIn Data Scraper finds new leads based on specific search criteria (e.g., title, industry), Wave creates a draft invoice for the potential client. Then, Slack notifies a designated sales channel about the new lead and the invoice.
Wave + LinkedIn Data Scraper + HubSpot: When Wave receives a payment for a specific service, LinkedIn Data Scraper searches LinkedIn for more information about the customer's company. Finally, HubSpot updates the customer's contact record with the company details obtained from LinkedIn.
LinkedIn Data Scraper and Wave integration alternatives
About LinkedIn Data Scraper
Need LinkedIn data for leads or market insights? Automate scraping profiles and company info inside Latenode workflows. Extract data, enrich it with AI, then push it to your CRM or database. Latenode's visual editor and affordable pricing make data-driven outreach scalable and cost-effective.
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About Wave
Use Wave in Latenode to automate payment reminders and subscription management. Connect Wave to your CRM or database to trigger personalized emails or SMS based on payment status. Latenode’s visual editor makes it simple to build complex billing workflows and handle edge cases without code, ensuring timely payments and reducing churn.
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See how Latenode works
FAQ LinkedIn Data Scraper and Wave
How can I connect my LinkedIn Data Scraper account to Wave using Latenode?
To connect your LinkedIn Data Scraper account to Wave on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select LinkedIn Data Scraper and click on "Connect".
- Authenticate your LinkedIn Data Scraper and Wave accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate invoice creation after lead scraping?
Yes, you can! Latenode allows automating Wave invoice creation directly after scraping leads from LinkedIn Data Scraper, saving time and ensuring accurate billing. Leverage no-code or JavaScript steps.
What types of tasks can I perform by integrating LinkedIn Data Scraper with Wave?
Integrating LinkedIn Data Scraper with Wave allows you to perform various tasks, including:
- Automatically creating Wave invoices for new LinkedIn leads.
- Updating Wave customer data based on LinkedIn profile changes.
- Generating personalized invoice messages with scraped LinkedIn info.
- Triggering Wave payment reminders based on lead engagement data.
- Tracking invoice status updates within your LinkedIn lead database.
WhatdatatransferlimitationsarethereusingLinkedInDataScraperonLatenode?
Data transfer limits depend on your Latenode plan and LinkedIn Data Scraper's API usage. Upgrade your plan for higher limits and enhanced scaling.
Are there any limitations to the LinkedIn Data Scraper and Wave integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by LinkedIn Data Scraper may affect data extraction speed.
- Wave's API has usage limits that can impact the frequency of invoice creation.
- Custom JavaScript code might be required for complex data transformations.