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

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Authenticate Cloze
Now, click the Cloze node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Cloze settings. Authentication allows you to use Cloze through Latenode.
Configure the LinkedIn Data Scraper and Cloze 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 Cloze 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, Cloze, 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 Cloze integration works as expected. Depending on your setup, data should flow between LinkedIn Data Scraper and Cloze (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 Cloze
LinkedIn Data Scraper + Cloze + Google Sheets: Scrapes LinkedIn profile data using a profile URL, adds the information as a new person to Cloze, and logs the profile URL and Cloze contact details in a Google Sheet for tracking and analysis.
Cloze + LinkedIn Data Scraper + Slack: When a person's status is updated in Cloze, scrape their LinkedIn profile data, and send a summary of the profile information to a designated Slack channel.
LinkedIn Data Scraper and Cloze 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 Cloze
Use Cloze in Latenode to automate your CRM and sales processes. Automatically update records, trigger follow-ups, and generate reports based on real-time data. Integrate Cloze with other apps like email, calendars, and databases using Latenode's visual editor. Customize flows with JavaScript or AI for advanced lead qualification and faster deal closing.
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See how Latenode works
FAQ LinkedIn Data Scraper and Cloze
How can I connect my LinkedIn Data Scraper account to Cloze using Latenode?
To connect your LinkedIn Data Scraper account to Cloze 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 Cloze accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Cloze contacts with LinkedIn data?
Yes, you can! Latenode enables real-time contact updates. Enrich Cloze profiles automatically, saving time and ensuring your CRM data is always current with fresh LinkedIn insights.
What types of tasks can I perform by integrating LinkedIn Data Scraper with Cloze?
Integrating LinkedIn Data Scraper with Cloze allows you to perform various tasks, including:
- Automatically creating new Cloze leads from LinkedIn Data Scraper search results.
- Enriching existing Cloze contact profiles with up-to-date LinkedIn information.
- Triggering follow-up sequences in Cloze based on LinkedIn activity.
- Segmenting Cloze contacts based on LinkedIn profile data.
- Automating personalized outreach in Cloze using LinkedIn insights.
What LinkedIn Data Scraper data can Latenode access and automate?
Latenode can access profile details, job titles, company information, and more. Automate lead generation and contact enrichment effortlessly.
Are there any limitations to the LinkedIn Data Scraper and Cloze integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by LinkedIn and Cloze APIs may affect workflow execution.
- Custom field mapping in Cloze may require advanced configuration.
- Changes to LinkedIn's data structure could necessitate workflow adjustments.