How to connect LinkedIn Data Scraper and Inoreader
Create a New Scenario to Connect LinkedIn Data Scraper and Inoreader
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β 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 Inoreader will be your first step. To do this, click "Choose an app," find LinkedIn Data Scraper or Inoreader, 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 Inoreader Node
Next, click the plus (+) icon on the LinkedIn Data Scraper node, select Inoreader from the list of available apps, and choose the action you need from the list of nodes within Inoreader.

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Authenticate Inoreader
Now, click the Inoreader node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Inoreader settings. Authentication allows you to use Inoreader through Latenode.
Configure the LinkedIn Data Scraper and Inoreader 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 Inoreader 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 donβt 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring LinkedIn Data Scraper, Inoreader, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the LinkedIn Data Scraper and Inoreader integration works as expected. Depending on your setup, data should flow between LinkedIn Data Scraper and Inoreader (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 Inoreader
LinkedIn Data Scraper + Inoreader + Slack: This automation scrapes LinkedIn profiles for keywords, then saves relevant articles to Inoreader based on those keywords. Finally, a summary of the article is sent to a specified Slack channel.
LinkedIn Data Scraper + Inoreader + HubSpot: When a new article is saved to Inoreader, the automation extracts contact information from corresponding LinkedIn profiles. This data is then used to create or update leads in HubSpot.
LinkedIn Data Scraper and Inoreader 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 Inoreader
Aggregate and filter news feeds in Inoreader, then use Latenode to automate actions based on specific articles. Trigger alerts, update databases, or post to social media directly from your curated content. Use Latenode's visual editor and JavaScript node to refine filtering and formatting rules far beyond Inoreader's native options.
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See how Latenode works
FAQ LinkedIn Data Scraper and Inoreader
How can I connect my LinkedIn Data Scraper account to Inoreader using Latenode?
To connect your LinkedIn Data Scraper account to Inoreader 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 Inoreader accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I monitor LinkedIn profiles via Inoreader feeds?
Yes, you can! With Latenode, automate scraping LinkedIn profiles and adding their updates as Inoreader feed items. Stay informed effortlessly and track key individuals or company news without manual checks.
What types of tasks can I perform by integrating LinkedIn Data Scraper with Inoreader?
Integrating LinkedIn Data Scraper with Inoreader allows you to perform various tasks, including:
- Add new LinkedIn job postings to an Inoreader feed for instant alerts.
- Monitor competitor company pages and add updates to a dedicated feed.
- Track industry leader profiles and their shared content in Inoreader.
- Create a feed of new connections made by target LinkedIn profiles.
- Archive scraped LinkedIn data within Inoreader tags for future review.
Can I filter LinkedIn Data Scraper results before adding them to Inoreader?
Yes, Latenode allows filtering using no-code blocks or JavaScript to refine data before sending it to Inoreader, ensuring relevant updates.
Are there any limitations to the LinkedIn Data Scraper and Inoreader integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by LinkedIn Data Scraper and Inoreader APIs may affect workflow execution.
- Complex data transformations might require JavaScript knowledge for optimal handling.
- Real-time updates depend on the scraping frequency set within the LinkedIn Data Scraper.