How to connect LinkedIn Data Scraper and Trint
Create a New Scenario to Connect LinkedIn Data Scraper and Trint
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 Trint will be your first step. To do this, click "Choose an app," find LinkedIn Data Scraper or Trint, 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 Trint Node
Next, click the plus (+) icon on the LinkedIn Data Scraper node, select Trint from the list of available apps, and choose the action you need from the list of nodes within Trint.

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Trint

Authenticate Trint
Now, click the Trint node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Trint settings. Authentication allows you to use Trint through Latenode.
Configure the LinkedIn Data Scraper and Trint 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 Trint 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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Trint
Trigger on Webhook
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LinkedIn Data Scraper
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Webhook response

Save and Activate the Scenario
After configuring LinkedIn Data Scraper, Trint, 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 Trint integration works as expected. Depending on your setup, data should flow between LinkedIn Data Scraper and Trint (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 Trint
LinkedIn Data Scraper + Trint + Slack: Scrape LinkedIn for leads using the LinkedIn Data Scraper, then transcribe voicemails left during outreach using Trint. Finally, share summaries of the lead information and voicemail transcriptions in a designated Slack channel.
Trint + LinkedIn Data Scraper + Google Docs: After Trint transcribes an interview from an audio file, the LinkedIn Data Scraper finds the interviewee's profile data using information from the transcription. Then, both the transcription and the LinkedIn profile data are appended to a Google Docs document for record-keeping and analysis.
LinkedIn Data Scraper and Trint 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.
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About Trint
Automate audio/video transcription workflows with Trint in Latenode. Extract text, identify speakers, and analyze content directly within your automated scenarios. Route transcripts to document storage, content management systems, or AI models for sentiment analysis. Simplify media workflows and automate reporting using Latenode's visual editor and flexible data handling.
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FAQ LinkedIn Data Scraper and Trint
How can I connect my LinkedIn Data Scraper account to Trint using Latenode?
To connect your LinkedIn Data Scraper account to Trint 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 Trint accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe LinkedIn audio via Trint?
Yes, with Latenode! Automate the transfer of audio from LinkedIn Data Scraper to Trint for transcription, saving time and ensuring accuracy by using our visual editor.
What types of tasks can I perform by integrating LinkedIn Data Scraper with Trint?
Integrating LinkedIn Data Scraper with Trint allows you to perform various tasks, including:
- Automatically transcribing LinkedIn audio content into editable text.
- Analyzing LinkedIn audio transcripts for keywords and sentiment.
- Creating summaries of LinkedIn audio discussions with AI.
- Generating subtitles for LinkedIn video content.
- Archiving and indexing LinkedIn audio data alongside transcripts.
Can I filter LinkedIn Data Scraper results before sending them to Trint?
Yes, Latenode's no-code filters and JavaScript blocks let you precisely control the data sent to Trint for efficient processing.
Are there any limitations to the LinkedIn Data Scraper and Trint integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits from both LinkedIn Data Scraper and Trint APIs may apply.
- Large audio files may require longer processing times.
- The accuracy of transcriptions depends on the audio quality.