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

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

JavaScript
⚙
AI Anthropic Claude 3
⚙
Missive
Trigger on Webhook
⚙
LinkedIn Data Scraper
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring LinkedIn Data Scraper, Missive, 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 Missive integration works as expected. Depending on your setup, data should flow between LinkedIn Data Scraper and Missive (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 Missive
LinkedIn Data Scraper + Google Sheets + Missive: When a new profile is scraped from LinkedIn, the profile data is added to a Google Sheet. A summary of the scraped data is then sent to the team in Missive.
Missive + LinkedIn Data Scraper + HubSpot: When a sales rep replies to a contact in Missive, the contact's LinkedIn profile data is scraped and used to update the contact's profile in HubSpot.
LinkedIn Data Scraper and Missive 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.
Similar apps
Related categories
About Missive
Centralize team comms in Missive and automate actions via Latenode. Monitor email, social media, and SMS, then trigger workflows based on content or sender. Automatically create tasks, update records, or send alerts. Use Latenode's visual editor and scripting for custom rules and integrations, eliminating manual triage and speeding responses.
Similar apps
Related categories
See how Latenode works
FAQ LinkedIn Data Scraper and Missive
How can I connect my LinkedIn Data Scraper account to Missive using Latenode?
To connect your LinkedIn Data Scraper account to Missive 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 Missive accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I forward LinkedIn profiles to Missive channels?
Yes, you can! Latenode lets you parse data from LinkedIn Data Scraper and automatically forward it to Missive, streamlining lead generation and team collaboration with no code and easy scaling.
What types of tasks can I perform by integrating LinkedIn Data Scraper with Missive?
Integrating LinkedIn Data Scraper with Missive allows you to perform various tasks, including:
- Send new LinkedIn leads' details directly to a Missive channel.
- Create Missive tasks from scraped LinkedIn profile information.
- Automatically notify teams in Missive about key LinkedIn profile updates.
- Archive LinkedIn Data Scraper results directly within relevant Missive conversations.
- Enrich Missive contact profiles with data extracted from LinkedIn profiles.
How do I handle LinkedIn's rate limits within my Latenode workflows?
Latenode allows you to implement advanced error handling and retry logic, using JavaScript or no-code delays to manage LinkedIn Data Scraper's rate limits effectively.
Are there any limitations to the LinkedIn Data Scraper and Missive integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- LinkedIn Data Scraper limitations apply, including rate limits and data access restrictions.
- Complex data transformations might require JavaScript knowledge.
- Missive's API limits the number of messages or conversations that can be automated per month.