LinkedIn Data Scraper and Qwilr Integration

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Automatically generate personalized Qwilr proposals from LinkedIn Data Scraper leads. Latenode’s visual editor simplifies connecting apps and adding custom logic using JavaScript to enhance automation. Pay only for execution time.

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LinkedIn Data Scraper

Qwilr

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect LinkedIn Data Scraper and Qwilr

Create a New Scenario to Connect LinkedIn Data Scraper and Qwilr

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

Add the Qwilr Node

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

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Authenticate Qwilr

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

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Configure the LinkedIn Data Scraper and Qwilr 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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Qwilr Oauth 2.0

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Run node once

Set Up the LinkedIn Data Scraper and Qwilr 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, Qwilr, 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 Qwilr integration works as expected. Depending on your setup, data should flow between LinkedIn Data Scraper and Qwilr (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 Qwilr

Qwilr + LinkedIn Data Scraper + Slack: When a Qwilr page is first viewed, scrape the viewer's LinkedIn profile data using their email, then send a Slack message to the sales team with the lead's LinkedIn profile information.

Qwilr + LinkedIn Data Scraper + Pipedrive: When a Qwilr page is accepted, use the lead's information (obtained from LinkedIn Data Scraper) to create a new deal in Pipedrive. The LinkedIn Profile URL needs to be an input to the flow.

LinkedIn Data Scraper and Qwilr 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 Qwilr

Automate Qwilr quote creation inside Latenode workflows. Automatically generate Qwilr proposals when triggered by new CRM leads or form submissions. Send data to Qwilr, then use Latenode to track views, trigger follow-ups, and update your database—no manual data entry needed. Scale personalized sales flows with ease.

See how Latenode works

FAQ LinkedIn Data Scraper and Qwilr

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

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

Can I automatically create Qwilr proposals from scraped LinkedIn leads?

Yes, you can! Latenode lets you automate proposal creation. Scrape leads, then instantly populate Qwilr templates, saving time and ensuring consistent outreach. Scale lead gen easily.

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

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

  • Automatically generating personalized proposals for new LinkedIn leads.
  • Updating Qwilr deals with real-time LinkedIn profile information.
  • Creating tailored sales pitches based on scraped company data.
  • Sending Qwilr proposal links directly to LinkedIn prospects.
  • Archiving successful proposals and associated lead data.

Can I filter scraped LinkedIn data before creating Qwilr proposals?

Yes! Latenode allows filtering data using no-code blocks or JavaScript for refined targeting and higher-quality, relevant Qwilr content.

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

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

  • Rate limits imposed by LinkedIn Data Scraper and Qwilr APIs may affect workflow speed.
  • Complex Qwilr templates might require advanced configuration in Latenode.
  • Changes to LinkedIn's website structure can temporarily impact data scraping accuracy.

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