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Automate lead enrichment: Scrape data from Outscraper then instantly notify your Lark team. Latenode’s visual editor combines no-code ease with JavaScript for advanced data formatting and custom alerts, scaling affordably.
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Create a New Scenario to Connect Outscraper and Lark
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 Outscraper, triggered by another scenario, or executed manually (for testing purposes). In most cases, Outscraper or Lark will be your first step. To do this, click "Choose an app," find Outscraper or Lark, and select the appropriate trigger to start the scenario.
Add the Outscraper Node
Select the Outscraper node from the app selection panel on the right.
Outscraper
Configure the Outscraper
Click on the Outscraper node to configure it. You can modify the Outscraper URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Lark Node
Next, click the plus (+) icon on the Outscraper node, select Lark from the list of available apps, and choose the action you need from the list of nodes within Lark.
Outscraper
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Lark
Authenticate Lark
Now, click the Lark node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Lark settings. Authentication allows you to use Lark through Latenode.
Configure the Outscraper and Lark 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 Outscraper and Lark Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Lark
Trigger on Webhook
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Outscraper
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Outscraper, Lark, 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 Outscraper and Lark integration works as expected. Depending on your setup, data should flow between Outscraper and Lark (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Outscraper + Lark + Airtable: Scrapes company data using Outscraper. It then sends a summary to a Lark group chat, and saves the detailed information in Airtable for lead tracking.
Lark + Outscraper + Google Sheets: When a new message is posted in a Lark group chat mentioning a company, scrape relevant information from Outscraper using the company name. Finally, log this information into a Google Sheet.
About Outscraper
Need to scrape web data at scale? Integrate Outscraper into Latenode to automate data extraction workflows. Get structured data from search engines, social media, and e-commerce sites without complex coding. Combine with Latenode's no-code tools, JS scripts, and webhooks for custom data pipelines that adapt to any business need.
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About Lark
Use Lark within Latenode to centralize team comms & automate notifications based on workflow triggers. Aggregate messages, streamline approvals, and post updates to specific channels. Benefit from Latenode's visual editor and logic tools for advanced routing that keeps everyone informed and aligned.
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How can I connect my Outscraper account to Lark using Latenode?
To connect your Outscraper account to Lark on Latenode, follow these steps:
Can I automatically post Outscraper data to Lark channels?
Yes, you can! Latenode's visual editor makes it easy to send scraped data from Outscraper directly to Lark, keeping your team informed instantly.
What types of tasks can I perform by integrating Outscraper with Lark?
Integrating Outscraper with Lark allows you to perform various tasks, including:
HowdoIhandleOutscraper'sAPIratelimitwithinLatenodeforlargedatasets?
Latenode allows you to implement queueing and error handling, managing Outscraper's rate limits and ensuring smooth processing of large datasets.
Are there any limitations to the Outscraper and Lark integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: