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

Add the Google Cloud Translate Node
Select the Google Cloud Translate node from the app selection panel on the right.

Google Cloud Translate
Configure the Google Cloud Translate
Click on the Google Cloud Translate node to configure it. You can modify the Google Cloud Translate 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 Translate 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.
Configure the Google Cloud Translate 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 Translate 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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AI Anthropic Claude 3
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LinkedIn Data Scraper
Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Translate, 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 Translate and LinkedIn Data Scraper integration works as expected. Depending on your setup, data should flow between Google Cloud Translate 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 Translate and LinkedIn Data Scraper
LinkedIn Data Scraper + Google Cloud Translate + Google Sheets: Scrape LinkedIn profiles using the LinkedIn Data Scraper, translate the 'About' section of the profile to English using Google Cloud Translate, and then store the original and translated 'About' sections along with other profile data in a Google Sheet for multilingual outreach.
LinkedIn Data Scraper + Google Cloud Translate + HubSpot: Scrape LinkedIn profiles using the LinkedIn Data Scraper, translate the 'About' section of the profile to English using Google Cloud Translate, and then create a new contact in HubSpot with the translated information for native outreach.
Google Cloud Translate and LinkedIn Data Scraper integration alternatives
About Google Cloud Translate
Automate multilingual workflows with Google Cloud Translate in Latenode. Translate text on-the-fly within any automation: localize content from web forms, translate support tickets, or adapt marketing copy for global audiences. Integrate it into complex flows and control translation logic visually, with optional JS coding for custom rules.
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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 Translate and LinkedIn Data Scraper
How can I connect my Google Cloud Translate account to LinkedIn Data Scraper using Latenode?
To connect your Google Cloud Translate account to LinkedIn Data Scraper on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Translate and click on "Connect".
- Authenticate your Google Cloud Translate and LinkedIn Data Scraper accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I translate LinkedIn profiles into multiple languages?
Yes, you can! Latenode's visual editor lets you automate translation for multiple languages and profiles scraped from LinkedIn, boosting your international outreach efforts.
What types of tasks can I perform by integrating Google Cloud Translate with LinkedIn Data Scraper?
Integrating Google Cloud Translate with LinkedIn Data Scraper allows you to perform various tasks, including:
- Translate LinkedIn profiles into different languages automatically.
- Localize job descriptions scraped from LinkedIn for global audiences.
- Translate candidate profiles for international recruitment.
- Analyze sentiment of translated LinkedIn posts in different languages.
- Create multilingual reports from LinkedIn data insights.
Can I use my existing Google Cloud Translate API keys on Latenode?
Yes, Latenode supports using your own Google Cloud Translate API keys for full control over your integration and costs.
Are there any limitations to the Google Cloud Translate and LinkedIn Data Scraper integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by Google Cloud Translate and LinkedIn's API.
- The accuracy of translation depends on Google Cloud Translate's capabilities.
- Changes to LinkedIn's website structure may require workflow adjustments.