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Extract data from any website with Scrapeless, then store and manage it in MongoDB. Latenode’s visual editor makes building scalable web scraping workflows easier and more affordable, letting you customize logic with JavaScript and scale without limits.
Connect Scrapeless and MongoDB in minutes with Latenode.
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Create a New Scenario to Connect Scrapeless and MongoDB
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 Scrapeless, triggered by another scenario, or executed manually (for testing purposes). In most cases, Scrapeless or MongoDB will be your first step. To do this, click "Choose an app," find Scrapeless or MongoDB, and select the appropriate trigger to start the scenario.
Add the Scrapeless Node
Select the Scrapeless node from the app selection panel on the right.
Scrapeless
Configure the Scrapeless
Click on the Scrapeless node to configure it. You can modify the Scrapeless URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the MongoDB Node
Next, click the plus (+) icon on the Scrapeless node, select MongoDB from the list of available apps, and choose the action you need from the list of nodes within MongoDB.
Scrapeless
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MongoDB
Authenticate MongoDB
Now, click the MongoDB node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your MongoDB settings. Authentication allows you to use MongoDB through Latenode.
Configure the Scrapeless and MongoDB 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 Scrapeless and MongoDB 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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MongoDB
Trigger on Webhook
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Scrapeless
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Scrapeless, MongoDB, 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 Scrapeless and MongoDB integration works as expected. Depending on your setup, data should flow between Scrapeless and MongoDB (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Scrapeless + MongoDB + Slack: Scrape product data from a URL using Scrapeless. Store the scraped data in MongoDB. If the scraped price is lower than the previously stored price in MongoDB, send a Slack message to a specified channel.
Scrapeless + MongoDB + Google Sheets: Use Scrapeless to scrape data from a website. Store the scraped data into a MongoDB collection. Search MongoDB for changes in the scraped data. If changes are detected, update a Google Sheet with the new information.
About Scrapeless
Use Scrapeless in Latenode to extract structured data from websites without code. Scrape product details, news, or social media feeds, then pipe the data into your Latenode workflows. Automate lead generation, price monitoring, and content aggregation. Combine Scrapeless with Latenode's AI nodes for smarter data processing.
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About MongoDB
Use MongoDB in Latenode to automate data storage and retrieval. Aggregate data from multiple sources, then store it in MongoDB for analysis or reporting. Latenode lets you trigger workflows based on MongoDB changes, create real-time dashboards, and build custom integrations. Low-code tools and JavaScript nodes unlock flexibility for complex data tasks.
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How can I connect my Scrapeless account to MongoDB using Latenode?
To connect your Scrapeless account to MongoDB on Latenode, follow these steps:
Can I archive scraped product data into MongoDB?
Yes, you can! Latenode simplifies this by visually connecting Scrapeless and MongoDB. Automate data archiving and unlock powerful insights by combining structured data with web scraping.
What types of tasks can I perform by integrating Scrapeless with MongoDB?
Integrating Scrapeless with MongoDB allows you to perform various tasks, including:
How do I handle large-scale data scraping with Scrapeless on Latenode?
Latenode's scalable infrastructure allows you to process large volumes of scraped data efficiently. Use parallel processing and error handling to ensure reliability.
Are there any limitations to the Scrapeless and MongoDB integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: