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

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

Close CRM
Configure the Close CRM
Click on the Close CRM node to configure it. You can modify the Close CRM 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 Close CRM 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 Close CRM 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 Close CRM 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 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Close CRM, LinkedIn Data Scraper, 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 Close CRM and LinkedIn Data Scraper integration works as expected. Depending on your setup, data should flow between Close CRM 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 Close CRM and LinkedIn Data Scraper
Close CRM + LinkedIn Data Scraper + Slack: When a lead's status is updated in Close CRM, their LinkedIn profile data is scraped. If the profile update time is recent, a Slack notification is sent to the sales team with the lead's updated information.
LinkedIn Data Scraper + Close CRM + Gmail: This workflow scrapes LinkedIn for people matching specific search criteria. The scraped data is used to create a new lead in Close CRM. Subsequently, a personalized introductory email is sent to the new lead via Gmail.
Close CRM and LinkedIn Data Scraper integration alternatives
About Close CRM
Automate Close CRM tasks in Latenode to streamline sales processes. Automatically update deals, create tasks, or trigger follow-ups based on custom events. Integrate Close CRM with other apps like Slack or Google Sheets to centralize your data and communication flows using Latenode’s visual editor and flexible logic.
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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 Close CRM and LinkedIn Data Scraper
How can I connect my Close CRM account to LinkedIn Data Scraper using Latenode?
To connect your Close CRM account to LinkedIn Data Scraper on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Close CRM and click on "Connect".
- Authenticate your Close CRM and LinkedIn Data Scraper accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Close CRM leads using LinkedIn data?
Yes, you can! Latenode allows seamless data transfer, updating Close CRM with new lead info scraped from LinkedIn, keeping your CRM current and improving outreach efficiency.
What types of tasks can I perform by integrating Close CRM with LinkedIn Data Scraper?
Integrating Close CRM with LinkedIn Data Scraper allows you to perform various tasks, including:
- Enrich Close CRM lead data with up-to-date LinkedIn profile information.
- Automatically create new Close CRM leads from LinkedIn search results.
- Trigger Close CRM tasks when specific LinkedIn profile changes are detected.
- Monitor LinkedIn for potential leads based on Close CRM opportunity stages.
- Export enriched lead lists for targeted marketing campaigns.
How do I handle errors or failed tasks when using Close CRM on Latenode?
Latenode provides robust error handling and logging. You can set up alerts and automated retries to ensure reliable data processing.
Are there any limitations to the Close CRM and LinkedIn Data Scraper integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- LinkedIn's scraping limits may affect the volume of data extracted.
- Changes to LinkedIn's website structure may require workflow adjustments.
- Data mapping complexities may arise due to differing field structures.