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

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

LiveChat
Configure the LiveChat
Click on the LiveChat node to configure it. You can modify the LiveChat URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the LinkedIn Data Scraper Node
Next, click the plus (+) icon on the LiveChat 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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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 LiveChat 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 LiveChat 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 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring LiveChat, LinkedIn Data Scraper, 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 LiveChat and LinkedIn Data Scraper integration works as expected. Depending on your setup, data should flow between LiveChat 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 LiveChat and LinkedIn Data Scraper
LiveChat + LinkedIn Data Scraper + Slack: When a new chat is incoming in LiveChat, the automation retrieves the profile data of the potential client using the LinkedIn Data Scraper (searching by name or other available info). Finally, it sends the profile data and the chat history to a dedicated Slack channel for the sales team to review.
LinkedIn Data Scraper + LiveChat + Email: When LinkedIn Data Scraper finds a profile, it also finds the email address. If the lead engages in a chat via LiveChat, the automation sends a personalized follow-up email. This email can include details gathered from the LinkedIn profile to increase engagement.
LiveChat and LinkedIn Data Scraper integration alternatives
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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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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FAQ LiveChat and LinkedIn Data Scraper
How can I connect my LiveChat account to LinkedIn Data Scraper using Latenode?
To connect your LiveChat account to LinkedIn Data Scraper on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select LiveChat and click on "Connect".
- Authenticate your LiveChat and LinkedIn Data Scraper accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I qualify leads automatically from LiveChat using LinkedIn Data Scraper?
Yes, you can! Latenode's visual editor lets you trigger LinkedIn Data Scraper from LiveChat transcripts, enriching lead data for efficient sales qualification, saving time and improving conversion rates.
What types of tasks can I perform by integrating LiveChat with LinkedIn Data Scraper?
Integrating LiveChat with LinkedIn Data Scraper allows you to perform various tasks, including:
- Automatically enriching LiveChat leads with LinkedIn profile data.
- Triggering targeted LinkedIn outreach based on LiveChat conversations.
- Sending personalized messages via LiveChat using LinkedIn insights.
- Updating CRM records with enriched lead data from both platforms.
- Analyzing customer segments based on combined LiveChat and LinkedIn data.
HowsecureisLiveChatdatawithinLatenode'sintegration?
Latenode employs robust security measures, including encryption and access controls, ensuring that your LiveChat data is protected throughout the integration process.
Are there any limitations to the LiveChat and LinkedIn Data Scraper integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- LinkedIn Data Scraper data extraction is subject to LinkedIn's rate limits.
- The integration relies on accurate lead name and company information in LiveChat.
- JavaScript knowledge may be required for highly customized data transformations.