How to connect NetHunt and LinkedIn Data Scraper
Create a New Scenario to Connect NetHunt and LinkedIn Data Scraper
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 NetHunt, triggered by another scenario, or executed manually (for testing purposes). In most cases, NetHunt or LinkedIn Data Scraper will be your first step. To do this, click "Choose an app," find NetHunt or LinkedIn Data Scraper, and select the appropriate trigger to start the scenario.

Add the NetHunt Node
Select the NetHunt node from the app selection panel on the right.


NetHunt

Add the LinkedIn Data Scraper Node
Next, click the plus (+) icon on the NetHunt 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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LinkedIn Data Scraper

Authenticate 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.
Configure the NetHunt and LinkedIn Data Scraper 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 NetHunt and LinkedIn Data Scraper 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.

JavaScript
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AI Anthropic Claude 3
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LinkedIn Data Scraper
Trigger on Webhook
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NetHunt
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring NetHunt, 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.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the NetHunt and LinkedIn Data Scraper integration works as expected. Depending on your setup, data should flow between NetHunt and LinkedIn Data Scraper (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect NetHunt and LinkedIn Data Scraper
LinkedIn Data Scraper + NetHunt + Slack: When LinkedIn Data Scraper finds new profile data, it automatically creates a new record in NetHunt. A notification is then sent to a designated Slack channel to alert the sales team about the new lead.
LinkedIn Data Scraper + NetHunt + Google Sheets: Automatically track scraped LinkedIn profiles in Google Sheets. When new profile data is scraped, a new row is added to Google Sheets. Simultaneously, relevant records in NetHunt are updated with the LinkedIn data.
NetHunt and LinkedIn Data Scraper integration alternatives

About NetHunt
Sync NetHunt CRM with Latenode to automate sales processes. Update deals, create tasks, or send personalized emails based on triggers. Latenode’s visual editor and flexible tools mean no-code data routing and AI-powered lead qualification — build scalable sales flows without complex scripts.
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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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See how Latenode works
FAQ NetHunt and LinkedIn Data Scraper
How can I connect my NetHunt account to LinkedIn Data Scraper using Latenode?
To connect your NetHunt account to LinkedIn Data Scraper on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select NetHunt and click on "Connect".
- Authenticate your NetHunt and LinkedIn Data Scraper accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically create NetHunt leads from LinkedIn profiles?
Yes, you can! Latenode automates lead creation from scraped LinkedIn data directly into NetHunt. Benefit from a streamlined sales process with enriched lead information, saving time and boosting efficiency.
What types of tasks can I perform by integrating NetHunt with LinkedIn Data Scraper?
Integrating NetHunt with LinkedIn Data Scraper allows you to perform various tasks, including:
- Enrich NetHunt contact data with LinkedIn profile information.
- Automatically update NetHunt records based on LinkedIn activity.
- Create new NetHunt leads from targeted LinkedIn searches.
- Trigger personalized email campaigns in NetHunt after scraping LinkedIn.
- Monitor LinkedIn profiles for job changes and update NetHunt accordingly.
How does Latenode handle NetHunt API rate limits?
Latenode offers robust error handling and queueing to manage NetHunt API rate limits, ensuring reliable automation without data loss. Enjoy consistent performance.
Are there any limitations to the NetHunt and LinkedIn Data Scraper integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- The number of LinkedIn profiles you can scrape depends on your LinkedIn Data Scraper subscription.
- NetHunt API limits may affect the speed and volume of data updates.
- Complex data transformations might require JavaScript knowledge.