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Automate lead generation by connecting LinkedIn Data Scraper to Google Cloud BigQuery (REST). Latenode’s visual editor simplifies data workflows, while its pay-by-execution pricing makes large-scale data extractions affordable. Extend with JavaScript for custom data transformations.
Connect LinkedIn Data Scraper and Google Cloud BigQuery (REST) in minutes with Latenode.
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Create a New Scenario to Connect LinkedIn Data Scraper and Google Cloud BigQuery (REST)
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 Google Cloud BigQuery (REST) will be your first step. To do this, click "Choose an app," find LinkedIn Data Scraper or Google Cloud BigQuery (REST), 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 Google Cloud BigQuery (REST) Node
Next, click the plus (+) icon on the LinkedIn Data Scraper node, select Google Cloud BigQuery (REST) from the list of available apps, and choose the action you need from the list of nodes within Google Cloud BigQuery (REST).
LinkedIn Data Scraper
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Google Cloud BigQuery (REST)
Authenticate Google Cloud BigQuery (REST)
Now, click the Google Cloud BigQuery (REST) node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud BigQuery (REST) settings. Authentication allows you to use Google Cloud BigQuery (REST) through Latenode.
Configure the LinkedIn Data Scraper and Google Cloud BigQuery (REST) 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 Google Cloud BigQuery (REST) Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Google Cloud BigQuery (REST)
Trigger on Webhook
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LinkedIn Data Scraper
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring LinkedIn Data Scraper, Google Cloud BigQuery (REST), 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 Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between LinkedIn Data Scraper and Google Cloud BigQuery (REST) (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
LinkedIn Data Scraper + Google Cloud BigQuery (REST) + Slack: Scrape LinkedIn for company details. If new data is found, store it in Google Cloud BigQuery and send a Slack notification to the team.
LinkedIn Data Scraper + Google Sheets: Scrape LinkedIn for job postings based on keywords and save data to a Google Sheet.
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 Google Cloud BigQuery (REST)
Automate BigQuery data workflows in Latenode. Query and analyze massive datasets directly within your automation scenarios, bypassing manual SQL. Schedule queries, transform results with JavaScript, and pipe data to other apps. Scale your data processing without complex coding or expensive per-operation fees. Perfect for reporting, analytics, and data warehousing automation.
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How can I connect my LinkedIn Data Scraper account to Google Cloud BigQuery (REST) using Latenode?
To connect your LinkedIn Data Scraper account to Google Cloud BigQuery (REST) on Latenode, follow these steps:
Can I analyze scraped LinkedIn profile data in BigQuery?
Yes, you can! Latenode simplifies data transfer. Automatically send scraped LinkedIn Data Scraper data to Google Cloud BigQuery (REST) for advanced analysis and reporting. Get faster insights.
What types of tasks can I perform by integrating LinkedIn Data Scraper with Google Cloud BigQuery (REST)?
Integrating LinkedIn Data Scraper with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
How do I handle LinkedIn Data Scraper rate limits in Latenode?
Latenode's advanced scheduling and error handling let you manage LinkedIn Data Scraper API limits and prevent workflow disruptions, ensuring reliable data flow.
Are there any limitations to the LinkedIn Data Scraper and Google Cloud BigQuery (REST) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: