LinkedIn Data Scraper and Square Integration

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Automatically reward LinkedIn Data Scraper leads by generating Square invoices when they meet set criteria. Latenode’s visual editor makes complex lead qualification easy, while affordable execution costs save money on scaled automations.

Swap Apps

LinkedIn Data Scraper

Square

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect LinkedIn Data Scraper and Square

Create a New Scenario to Connect LinkedIn Data Scraper and Square

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 Square will be your first step. To do this, click "Choose an app," find LinkedIn Data Scraper or Square, 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.

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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.

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Add the Square Node

Next, click the plus (+) icon on the LinkedIn Data Scraper node, select Square from the list of available apps, and choose the action you need from the list of nodes within Square.

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Authenticate Square

Now, click the Square node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Square settings. Authentication allows you to use Square through Latenode.

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Configure the LinkedIn Data Scraper and Square Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the LinkedIn Data Scraper and Square 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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Save and Activate the Scenario

After configuring LinkedIn Data Scraper, Square, 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 Square integration works as expected. Depending on your setup, data should flow between LinkedIn Data Scraper and Square (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 Square

Square + LinkedIn Data Scraper + Slack: When a new paid order is created in Square, find the customer's email and then use LinkedIn Data Scraper to find the user by email and finally post a Slack notification about the new customer.

Square + LinkedIn Data Scraper + HubSpot: When a new customer is created in Square, find or create the contact in HubSpot and enrich their profile data using LinkedIn Data Scraper by finding the LinkedIn profile using the customer's email from Square.

LinkedIn Data Scraper and Square 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.

About Square

Automate Square tasks in Latenode: sync payments with accounting, trigger fulfillment on successful transactions, and send custom invoices based on CRM data. Use visual workflows to connect Square with other apps, add logic with JS, and scale without step limits. Streamline finance operations.

See how Latenode works

FAQ LinkedIn Data Scraper and Square

How can I connect my LinkedIn Data Scraper account to Square using Latenode?

To connect your LinkedIn Data Scraper account to Square 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 Square accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically charge clients from scraped LinkedIn leads?

Yes, you can! Latenode lets you automate lead nurturing and payment workflows, charging clients through Square upon successful LinkedIn Data Scraper lead qualification. Boost sales efficiency!

What types of tasks can I perform by integrating LinkedIn Data Scraper with Square?

Integrating LinkedIn Data Scraper with Square allows you to perform various tasks, including:

  • Automatically create Square customer profiles from new LinkedIn Data Scraper leads.
  • Send Square invoices to LinkedIn Data Scraper leads matching specific criteria.
  • Update Square customer data based on changes in LinkedIn Data Scraper profiles.
  • Trigger Square payments when LinkedIn Data Scraper identifies a high-value prospect.
  • Log successful Square payments against LinkedIn Data Scraper lead records.

How easily can I handle large LinkedIn Data Scraper data sets?

Latenode's architecture easily handles large datasets, processing LinkedIn Data Scraper data efficiently, ensuring smooth Square integration and automation.

Are there any limitations to the LinkedIn Data Scraper and Square integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Rate limits imposed by LinkedIn Data Scraper and Square APIs may affect performance.
  • Custom data transformations beyond basic field mapping might require JavaScript coding.
  • Complex conditional logic may require advanced workflow design and testing.

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