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

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Authenticate Moxie
Now, click the Moxie node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Moxie settings. Authentication allows you to use Moxie through Latenode.
Configure the LinkedIn Data Scraper and Moxie 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 Moxie 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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Moxie
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, Moxie, 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 Moxie integration works as expected. Depending on your setup, data should flow between LinkedIn Data Scraper and Moxie (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 Moxie
LinkedIn Data Scraper + Moxie + Slack: When LinkedIn Data Scraper finds new leads based on specified criteria using 'Search People', it creates a new contact in Moxie. Then, Slack sends a message to a designated channel notifying the team about the new potential lead.
LinkedIn Data Scraper + Moxie + Google Sheets: This flow scrapes profile data from LinkedIn using the 'Get Profile Data' action based on a specified URL. It then updates a contact's information in Moxie using the scraped data. Finally, logs the changes made into a Google Sheet.
LinkedIn Data Scraper and Moxie 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 Moxie
Use Moxie in Latenode to automate data entry and validation workflows. Pull data from multiple sources, use Moxie to clean and standardize it, then push the refined data to your databases or apps. Benefit from Latenode's visual editor and scalable architecture to handle large datasets efficiently without code.
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FAQ LinkedIn Data Scraper and Moxie
How can I connect my LinkedIn Data Scraper account to Moxie using Latenode?
To connect your LinkedIn Data Scraper account to Moxie 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 Moxie accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I enrich Moxie profiles with LinkedIn data automatically?
Yes, you can! Latenode lets you automate data enrichment using a visual interface. This improves lead quality and provides valuable insights directly within Moxie.
What types of tasks can I perform by integrating LinkedIn Data Scraper with Moxie?
Integrating LinkedIn Data Scraper with Moxie allows you to perform various tasks, including:
- Automatically create new Moxie contacts from scraped LinkedIn profiles.
- Enrich existing Moxie contact data with up-to-date LinkedIn information.
- Trigger Moxie campaigns based on LinkedIn profile updates.
- Send personalized Moxie messages using data from LinkedIn profiles.
- Qualify leads in Moxie using LinkedIn Data Scraper information.
How does Latenode handle LinkedIn Data Scraper rate limits?
Latenode’s advanced scheduling and error handling help manage LinkedIn Data Scraper API limits, ensuring reliable data flow into Moxie.
Are there any limitations to the LinkedIn Data Scraper and Moxie integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- The number of LinkedIn profiles you can scrape is limited by LinkedIn's policies.
- Moxie's API may have its own rate limits that could affect the integration's performance.
- Complex data transformations might require JavaScript coding within Latenode.