How to connect LinkedIn Data Scraper and Encharge
Create a New Scenario to Connect LinkedIn Data Scraper and Encharge
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 Encharge will be your first step. To do this, click "Choose an app," find LinkedIn Data Scraper or Encharge, 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 Encharge Node
Next, click the plus (+) icon on the LinkedIn Data Scraper node, select Encharge from the list of available apps, and choose the action you need from the list of nodes within Encharge.

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Authenticate Encharge
Now, click the Encharge node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Encharge settings. Authentication allows you to use Encharge through Latenode.
Configure the LinkedIn Data Scraper and Encharge 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 Encharge 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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Encharge
Trigger on Webhook
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Save and Activate the Scenario
After configuring LinkedIn Data Scraper, Encharge, 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 Encharge integration works as expected. Depending on your setup, data should flow between LinkedIn Data Scraper and Encharge (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 Encharge
LinkedIn Data Scraper + Encharge + Slack: When a new lead is scraped from LinkedIn Data Scraper using a search, the lead is added to Encharge. Subsequently, a notification is sent to a designated Slack channel to inform the sales team.
Encharge + LinkedIn Data Scraper + Gmail: When a contact's score is updated in Encharge, the automation scrapes their LinkedIn profile data and finds their email address using LinkedIn Data Scraper. Finally, it sends the profile data via email using Gmail.
LinkedIn Data Scraper and Encharge 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 Encharge
Use Encharge in Latenode to automate personalized marketing. Build workflows that segment leads, trigger email sequences, and update customer profiles based on real-time behavior. Connect Encharge to any data source and use Latenode’s no-code tools or JavaScript to orchestrate sophisticated, event-driven campaigns without complex coding.
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See how Latenode works
FAQ LinkedIn Data Scraper and Encharge
How can I connect my LinkedIn Data Scraper account to Encharge using Latenode?
To connect your LinkedIn Data Scraper account to Encharge 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 Encharge accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically add scraped LinkedIn leads to Encharge?
Yes, you can! With Latenode, automate adding LinkedIn Data Scraper leads to Encharge, enriching data with AI. Scale your outreach efforts and personalize your marketing campaigns more effectively.
What types of tasks can I perform by integrating LinkedIn Data Scraper with Encharge?
Integrating LinkedIn Data Scraper with Encharge allows you to perform various tasks, including:
- Automatically adding new scraped leads to Encharge as contacts.
- Updating Encharge contacts with the latest LinkedIn profile data.
- Triggering personalized email sequences in Encharge based on LinkedIn data.
- Segmenting Encharge audiences using LinkedIn Data Scraper information.
- Creating or updating Encharge deals based on LinkedIn engagement.
What LinkedIn Data Scraper data can I access in Latenode?
Latenode allows you to access all data scraped by LinkedIn Data Scraper, including profile details, job titles, and company information, for automation.
Are there any limitations to the LinkedIn Data Scraper and Encharge integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- The rate limits of both LinkedIn Data Scraper and Encharge still apply.
- Complex data transformations may require JavaScript knowledge.
- Data accuracy is dependent on LinkedIn Data Scraper's results.