This automation solution helps content curators and publishers efficiently manage their online presence by continuously monitoring an RSS feed for new posts and automatically publishing them to a Scoop.it topic.
This streamlines the content curation process, ensuring that your Scoop.it channel is consistently updated with fresh, relevant content from your RSS sources. The integration between the RSS feed and Scoop.it platform allows you to effortlessly share industry news, blog posts, and other valuable content with your audience, saving time and effort in the content management workflow.
Latenode bills workflow runs in credits: 1 credit = 30 seconds of processing. Minimum charge per run depends on your plan. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.
Full pricing — how credits work →Workflow preview
Provide the URL of the RSS feed you want to monitor for new content. This establishes the connection between the RSS source and the automation.
The automation continuously checks the RSS feed for any new posts. For each new post detected, the system moves to the next step to process the content.
The automation uses a headless browser to fetch the full text and any media assets (e.g. images, videos) from the article URL of the new RSS post.
The post content is then normalized and enriched using custom JavaScript logic to prepare it for publishing on Scoop.it.
Finally, the transformed post content is automatically published to the specified Scoop.it topic, making the new content available to your audience on the Scoop.it platform.
1. In the Latenode Credentials panel, add a new credential for the RSS feed integration. Enter the necessary details like the feed URL or any authentication parameters required by the RSS provider.
2. In the Latenode visual builder, add an RSS feed node. Configure the node by selecting the RSS feed credential you added in the previous step. Customize the node settings to specify the feed URL, extraction rules, and any other relevant options.
3. In the Latenode Credentials panel, add a new credential for the Scoop.it integration. Enter the necessary details like your Scoop.it API key or OAuth access tokens.
4. In the Latenode visual builder, add a Scoop.it node. Configure the node by selecting the Scoop.it credential you added in the previous step. Customize the node settings to specify the Scoop.it topic, post details, and any other relevant options.
5. In the Latenode visual builder, connect the RSS feed node to the Scoop.it node. This will create a flow where new posts from the RSS feed will be automatically published to the specified Scoop.it topic.
FAQ
More templates
Tools schedules checks, Headless Browser loads each monitored URL, JavaScript diffs visible text or selectors against the last snapshot in Database, and rss.app (or JavaScript POST) publishes feed items when changes exceed your threshold. Replaces Zapier+rss.app-only diagrams with explicit Latenode nodes.
This automation integrates Discord and Google Translate to monitor specific Discord channels for new messages. When a new message is detected, the automation will automatically translate the text into a target language using Google Translate and then post the translated message back to Discord or another destination. This allows users to stay connected with their communities across language barriers, facilitating global collaboration and discussion within the Discord platform.
This automation workflow allows users to monitor a Telegram chat or channel, automatically detect new messages, translate the text into a target language using Google Translate, and then send the translated version back to the same Telegram chat or save it to a designated destination. This integration between Telegram and Google Translate streamlines cross-language communication, making it easier for users to stay connected and understand content shared in different languages. The automation simplifies the process of translating messages, saving time and effort for users who need to communicate across language barriers.
