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

LinkedIn Data Scraper
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Circle

Authenticate Circle
Now, click the Circle node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Circle settings. Authentication allows you to use Circle through Latenode.
Configure the LinkedIn Data Scraper and Circle 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 Circle 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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Circle
Trigger on Webhook
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LinkedIn Data Scraper
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Webhook response

Save and Activate the Scenario
After configuring LinkedIn Data Scraper, Circle, 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 Circle integration works as expected. Depending on your setup, data should flow between LinkedIn Data Scraper and Circle (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 Circle
LinkedIn Data Scraper + Circle + Google Sheets: Scrape LinkedIn profile data using a search query. When profile data is successfully retrieved, add the profile to a Circle community. Then, log the new Circle member's information in a Google Sheet.
Circle + LinkedIn Data Scraper + Mailchimp: When a new member joins a Circle community, use their information to enrich their profile data with LinkedIn Data Scraper. Then, add the enriched member data to a Mailchimp email list.
LinkedIn Data Scraper and Circle 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 Circle
Use Circle in Latenode to build thriving online communities. Automate member onboarding, content moderation, and engagement tracking. Trigger workflows based on Circle events, syncing data with CRMs or email tools. Scale community management without manual overhead, using Latenode’s no-code tools and custom logic.
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See how Latenode works
FAQ LinkedIn Data Scraper and Circle
How can I connect my LinkedIn Data Scraper account to Circle using Latenode?
To connect your LinkedIn Data Scraper account to Circle 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 Circle accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically add new LinkedIn leads to Circle?
Yes, you can! Latenode lets you automate this easily. Scrape LinkedIn profiles and automatically add matching leads to your Circle community—all without manual data entry. Build it visually!
What types of tasks can I perform by integrating LinkedIn Data Scraper with Circle?
Integrating LinkedIn Data Scraper with Circle allows you to perform various tasks, including:
- Automatically adding scraped leads as Circle members.
- Triggering Circle messages upon new LinkedIn lead capture.
- Updating Circle user profiles with LinkedIn data.
- Segmenting Circle members based on LinkedIn data insights.
- Enriching scraped LinkedIn profiles with Circle activity data.
How can I handle large LinkedIn Data Scraper datasets on Latenode?
Latenode's robust platform efficiently handles large datasets. Use built-in tools or JavaScript nodes to process and filter data at scale.
Are there any limitations to the LinkedIn Data Scraper and Circle integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- LinkedIn Data Scraper limits may affect data extraction volume.
- Circle's API rate limits can impact high-volume actions.
- Complex data transformations may require JavaScript coding.