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

Add the Google Cloud Pub\Sub Node
Select the Google Cloud Pub\Sub node from the app selection panel on the right.


Google Cloud Pub\Sub

Configure the Google Cloud Pub\Sub
Click on the Google Cloud Pub\Sub node to configure it. You can modify the Google Cloud Pub\Sub URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the LinkedIn Data Scraper Node
Next, click the plus (+) icon on the Google Cloud Pub\Sub 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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LinkedIn Data Scraper

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.
Configure the Google Cloud Pub\Sub 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.
Set Up the Google Cloud Pub\Sub 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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LinkedIn Data Scraper
Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Pub\Sub, 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 Pub\Sub and LinkedIn Data Scraper integration works as expected. Depending on your setup, data should flow between Google Cloud Pub\Sub 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 Pub\Sub and LinkedIn Data Scraper
LinkedIn Data Scraper + Google Cloud Pub\Sub + Slack: Scrapes LinkedIn for profiles matching specific job titles using LinkedIn Data Scraper. The profile data is then sent to Google Cloud Pub/Sub. Upon receiving a new message in Google Cloud Pub/Sub, Slack sends a message to a designated channel, alerting the team about the new profile.
LinkedIn Data Scraper + Google Cloud Pub\Sub + Google Sheets: Scrapes LinkedIn for leads using LinkedIn Data Scraper and publishes the data to a Google Cloud Pub/Sub topic. The Google Cloud Pub/Sub trigger then adds the lead information to a Google Sheet.
Google Cloud Pub\Sub and LinkedIn Data Scraper integration alternatives

About Google Cloud Pub\Sub
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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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FAQ Google Cloud Pub\Sub and LinkedIn Data Scraper
How can I connect my Google Cloud Pub\Sub account to LinkedIn Data Scraper using Latenode?
To connect your Google Cloud Pub\Sub account to LinkedIn Data Scraper on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Pub\Sub and click on "Connect".
- Authenticate your Google Cloud Pub\Sub and LinkedIn Data Scraper accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I trigger Pub/Sub messages from LinkedIn profile changes?
Yes, you can! Latenode enables real-time triggers from LinkedIn Data Scraper to Google Cloud Pub/Sub. Keep systems updated and react instantly to new professional data.
What types of tasks can I perform by integrating Google Cloud Pub\Sub with LinkedIn Data Scraper?
Integrating Google Cloud Pub\Sub with LinkedIn Data Scraper allows you to perform various tasks, including:
- Send new LinkedIn profile data to data warehouses via Pub/Sub topics.
- Alert sales teams about key prospect updates in real-time.
- Log LinkedIn activity for compliance and auditing purposes.
- Enrich existing customer data with updated LinkedIn information.
- Monitor competitor employee movements and trigger internal alerts.
How do I handle Pub/Sub message authentication within Latenode workflows?
Latenode securely stores and manages your Google Cloud credentials, providing seamless authentication for all Pub/Sub operations within your workflows.
Are there any limitations to the Google Cloud Pub\Sub and LinkedIn Data Scraper integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by LinkedIn Data Scraper may affect data extraction frequency.
- Message size limits in Google Cloud Pub/Sub can restrict the amount of data transmitted.
- Complex data transformations may require JavaScript coding within Latenode.