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Automate web data archiving by using Scrapeless to extract content and automatically store it in Amazon S3. Latenode’s visual editor and affordable execution pricing make complex data pipelines accessible, while custom JavaScript blocks handle any scraping edge case.


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In the workspace, click the “Create New Scenario” button.

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 Amazon S3 will be your first step. To do this, click "Choose an app," find Scrapeless or Amazon S3, and select the appropriate trigger to start the scenario.

Select the Scrapeless node from the app selection panel on the right.

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.
Next, click the plus (+) icon on the Scrapeless node, select Amazon S3 from the list of available apps, and choose the action you need from the list of nodes within Amazon S3.

Scrapeless
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Amazon S3

Now, click the Amazon S3 node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Amazon S3 settings. Authentication allows you to use Amazon S3 through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
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Amazon S3
Trigger on Webhook
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Scrapeless
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Iterator
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Webhook response

After configuring Scrapeless, Amazon S3, 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.
Run the scenario by clicking “Run once” and triggering an event to check if the Scrapeless and Amazon S3 integration works as expected. Depending on your setup, data should flow between Scrapeless and Amazon S3 (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Scrapeless + Amazon S3 + Google Sheets: Scrapeless crawls a URL and extracts data. This data is then uploaded as a file to Amazon S3. Finally, a daily summary of the S3 file content is added as a new row to a Google Sheet.
Amazon S3 + Scrapeless + Slack: When a new file is uploaded to an Amazon S3 bucket (likely from a Scrapeless data scraping job), a notification message is sent to a designated Slack channel alerting the team about the new file.
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 Amazon S3
Automate S3 file management within Latenode. Trigger flows on new uploads, automatically process stored data, and archive old files. Integrate S3 with your database, AI models, or other apps. Latenode simplifies complex S3 workflows with visual tools and code options for custom logic.
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How can I connect my Scrapeless account to Amazon S3 using Latenode?
To connect your Scrapeless account to Amazon S3 on Latenode, follow these steps:
Can I automatically back up scraped website data to S3?
Yes, you can! Latenode's visual editor makes it easy to schedule regular backups. Plus, enjoy granular control via JavaScript blocks for advanced data transformation.
What types of tasks can I perform by integrating Scrapeless with Amazon S3?
Integrating Scrapeless with Amazon S3 allows you to perform various tasks, including:
What Scrapeless configurations are possible within the Latenode platform?
Latenode enables dynamic Scrapeless configurations through code and AI, alongside no-code options, offering unmatched workflow customization and control.
Are there any limitations to the Scrapeless and Amazon S3 integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: