How to connect LinkedIn Data Scraper and LiveChat
Create a New Scenario to Connect LinkedIn Data Scraper and LiveChat
In the workspace, click the โCreate New Scenarioโ button.

Add the First Step
Add the first node โ 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 LiveChat will be your first step. To do this, click "Choose an app," find LinkedIn Data Scraper or LiveChat, 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 LiveChat Node
Next, click the plus (+) icon on the LinkedIn Data Scraper node, select LiveChat from the list of available apps, and choose the action you need from the list of nodes within LiveChat.

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Authenticate LiveChat
Now, click the LiveChat node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your LiveChat settings. Authentication allows you to use LiveChat through Latenode.
Configure the LinkedIn Data Scraper and LiveChat 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 LiveChat 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 donโt 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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Save and Activate the Scenario
After configuring LinkedIn Data Scraper, LiveChat, and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the LinkedIn Data Scraper and LiveChat integration works as expected. Depending on your setup, data should flow between LinkedIn Data Scraper and LiveChat (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 LiveChat
LinkedIn Data Scraper + Google Sheets + LiveChat: Scrape profile data from LinkedIn using the LinkedIn Data Scraper and save it to a Google Sheet. When a new row is added in Google Sheets, trigger a personalized LiveChat message to the contact.
LiveChat + LinkedIn Data Scraper + Slack: When a new chat starts in LiveChat, use LinkedIn Data Scraper to find the profile data of the user (if available). Send a message to a Slack channel containing the LinkedIn profile data, alerting sales to potential leads.
LinkedIn Data Scraper and LiveChat 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 LiveChat
Integrate LiveChat into Latenode to automate support workflows. Route chats based on keywords, tag conversations, or trigger automated responses. Connect LiveChat data to other apps (CRM, databases) for unified insights. Simplify complex routing and ensure agents have context โ all visually, and without code.
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FAQ LinkedIn Data Scraper and LiveChat
How can I connect my LinkedIn Data Scraper account to LiveChat using Latenode?
To connect your LinkedIn Data Scraper account to LiveChat 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 LiveChat accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I notify my team about new leads using LinkedIn Data Scraper and LiveChat?
Yes, you can! With Latenode, automatically send LiveChat notifications to your team when LinkedIn Data Scraper identifies new potential leads, ensuring immediate follow-up.
What types of tasks can I perform by integrating LinkedIn Data Scraper with LiveChat?
Integrating LinkedIn Data Scraper with LiveChat allows you to perform various tasks, including:
- Automatically start a LiveChat conversation with scraped LinkedIn profiles.
- Send scraped LinkedIn data to LiveChat as a new lead notification.
- Update LiveChat contact details with LinkedIn Data Scraper information.
- Trigger a LiveChat campaign based on LinkedIn Data Scraper results.
- Enrich LiveChat profiles using scraped data from LinkedIn profiles.
Can I filter data from LinkedIn Data Scraper before sending it to LiveChat?
Yes, Latenode lets you use its no-code blocks or JavaScript to filter LinkedIn Data Scraper data before sending to LiveChat for precise workflows.
Are there any limitations to the LinkedIn Data Scraper and LiveChat integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits on LinkedIn Data Scraper may affect data retrieval frequency.
- LiveChat API limitations may restrict the volume of messages sent.
- Custom JavaScript code requires technical proficiency for advanced filtering.