Scrape a conference site into a searchable dashboard
Most businesses struggle with research overload - too much data scattered across emails, documents, and websites with no easy way to synthesize insights. Task: The case describes using Manus AI (Meta Superintelligence) to automate research workflows. A specific implementation involved scraping a conference website with approximately 70 talks to create a searchable dashboard. The agent extracted event details, converted times to UTC, and added calendar integration. Human involvement is not explicitly detailed in the source, but the workflow implies a user initiating the task and reviewing the output.; tools: Manus. Human role: The original post does not say how a person stayed involved.; limitations: Prerequisites include access to Manus AI and the target website. The source notes that uploaded files are automatically deleted after 48 hours unless saved. Integration with tools like Slack and Notion is mentioned but requires configuration. The claim of 80% time savings is an estimate by the platform, not a verified outcome..
Tools
Published on Agent Work Atlas:
Overview
Most businesses struggle with research overload - too much data scattered across emails, documents, and websites with no easy way to synthesize insights.
Workflow
The case describes using Manus AI (Meta Superintelligence) to automate research workflows. A specific implementation involved scraping a conference website with approximately 70 talks to create a searchable dashboard. The agent extracted event details, converted times to UTC, and added calendar integration. Human involvement is not explicitly detailed in the source, but the workflow implies a user initiating the task and reviewing the output.
Reported result
The source reports that the agent successfully organized the scraped data into a visual interface with 'Similar Events' recommendations. It claims the platform estimates saving 80% of development time compared to building equivalent functionality from scratch. No specific metrics on accuracy or user satisfaction are provided.
Human role
The original post does not say how a person stayed involved.
Limitations
Prerequisites include access to Manus AI and the target website. The source notes that uploaded files are automatically deleted after 48 hours unless saved. Integration with tools like Slack and Notion is mentioned but requires configuration. The claim of 80% time savings is an estimate by the platform, not a verified outcome.
Try it
I need to replicate the conference event aggregator workflow using Manus AI. Please scrape the website [replaceable URL] which contains approximately [replaceable number] talks. Extract the title, date, time, and description for each talk. Convert all times to UTC. Create a searchable dashboard interface that includes 'Similar Events' recommendations and one-click calendar integration. Before finalizing, run a dry test on [replaceable sample count] talks to verify data accuracy. Show me the output format and confirm the UTC conversion logic is correct. Do not publish or send any notifications until I approve the sample results. If the website structure changes or scraping fails, report the error immediately.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.