Google Cloud Storage and LinkedIn Data Scraper Integration

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Archive LinkedIn Data Scraper results directly to Google Cloud Storage for secure and scalable data warehousing. Latenode’s visual editor and affordable execution pricing make this data pipeline simple to build and maintain, even at enterprise scale, without complex coding.

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Google Cloud Storage

LinkedIn Data Scraper

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud Storage and LinkedIn Data Scraper

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

Add the Google Cloud Storage Node

Select the Google Cloud Storage node from the app selection panel on the right.

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Configure the Google Cloud Storage

Click on the Google Cloud Storage node to configure it. You can modify the Google Cloud Storage 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 LinkedIn Data Scraper Node

Next, click the plus (+) icon on the Google Cloud Storage 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.

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Configure the Google Cloud Storage 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.

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Set Up the Google Cloud Storage 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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Save and Activate the Scenario

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

LinkedIn Data Scraper + Google Cloud Storage + Google Sheets: Scrape LinkedIn profile data using the LinkedIn Data Scraper, upload the scraped data as a file to Google Cloud Storage, and then extract key information to add as a new row in a Google Sheet.

LinkedIn Data Scraper + Google Cloud Storage + Email: Scrape LinkedIn profile data and find the email address, then upload the profile data and email to Google Cloud Storage. Finally, send an email with key contact details to the sales team using the Email service.

Google Cloud Storage and LinkedIn Data Scraper integration alternatives

About Google Cloud Storage

Use Google Cloud Storage in Latenode for automated file management. Upload, download, and manage files in your workflows. Automate backups, data archiving, or image processing. Connect GCS to other apps for seamless data transfer and triggering events. Latenode's visual editor simplifies complex file-based automations.

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.

See how Latenode works

FAQ Google Cloud Storage and LinkedIn Data Scraper

How can I connect my Google Cloud Storage account to LinkedIn Data Scraper using Latenode?

To connect your Google Cloud Storage account to LinkedIn Data Scraper on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Google Cloud Storage and click on "Connect".
  • Authenticate your Google Cloud Storage and LinkedIn Data Scraper accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I archive LinkedIn profile data to Google Cloud Storage?

Yes, you can! Latenode’s flexible data mapping makes it easy to automatically save scraped LinkedIn profiles to Google Cloud Storage, ensuring secure and scalable data backups.

What types of tasks can I perform by integrating Google Cloud Storage with LinkedIn Data Scraper?

Integrating Google Cloud Storage with LinkedIn Data Scraper allows you to perform various tasks, including:

  • Backing up scraped LinkedIn profiles directly to Google Cloud Storage.
  • Analyzing LinkedIn data stored in Google Cloud Storage using AI steps.
  • Creating a searchable archive of LinkedIn profiles in Google Cloud Storage.
  • Automating data export from LinkedIn to a secure cloud storage location.
  • Building a custom CRM with profile data stored and managed in Google Cloud Storage.

How secure is Google Cloud Storage integration on Latenode?

Latenode uses secure authentication and encryption to protect your data during transfer and storage with Google Cloud Storage.

Are there any limitations to the Google Cloud Storage and LinkedIn Data Scraper integration on Latenode?

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

  • Large-scale scraping may be limited by LinkedIn's rate limits.
  • Data transfer costs with Google Cloud Storage may apply at high volumes.
  • Advanced data transformations may require custom JavaScript code.

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