Olostep × Plots Case Study

Plots uses the Olostep Agent to continuously discover events on the open web, extract the most relevant signals, and keep a clean, structured dataset up‑to‑date without manual effort. The agent runs on a schedule and stores results on Olostep’s side, so Plots can simply visualize and act on insights.

“Scheduling the Olostep Agent means our event feeds are always fresh. We don’t worry about infra or storage—we just open the dashboard and see what changed.”

About Plots

Plots is an in‑person social network where people host and discover events. Hosts get tools for tickets and RSVPs, while community members browse, save, and share what’s happening nearby.

Challenge

• Event data is scattered across the web (sites, profiles, feeds) and changes frequently
• Hosts update details like time, location, capacity, and price close to the event
• Internal teams need a reliable, structured view for discovery and analytics—without maintaining scrapers or pipelines

Solution

Plots adopted the Olostep Agent to search, fetch, and structure event data on a recurring schedule:

• Scheduled runs (hourly/daily) keep the dataset fresh automatically
• Agent prompts guide discovery (search, follow links, parse details)
• Results are stored on Olostep, simplifying retention and re‑processing
• Clean outputs (JSON + Markdown + screenshots) power monitoring and QA

Integrating Olostep

1. Define the Agent prompt

   • “Search for upcoming events in targeted cities, follow organizer pages, and extract fields: title, date, start/end time, venue, city, ticket availability, price, organizer handle, canonical URL.”

2. Schedule the Agent

   • Use Agent scheduling to run hourly/daily, with geo routing where needed.
   • Re‑use previous run state to avoid duplicates and prioritize changes.

3. Store and retrieve data

   • Results are persisted on Olostep by default (structured JSON, HTML/Markdown, screenshots).
   • Optional webhooks or export to S3/warehouse for downstream joins.

4. Visualize in the Agent Dashboard

   • Plots’ teams open the Olostep Agent dashboard to track new/updated events, inspect evidence, and compare runs over time.
   • Filters and quick links make it easy to QA changes and flag anomalies.

Results

• Always‑fresh catalog: scheduled runs keep events up‑to‑date automatically
• Lower ops burden: no scrapers to maintain, retries and rendering handled by Olostep
• Faster iteration: change the Agent prompt/schema instead of rewriting code
• Simple analytics: data is stored on Olostep, ready to visualize in the dashboard or export when needed

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References:

• Plots — Event hosting and discovery
• Olostep — Web Data API for AI
• Olostep Docs: Agent

Frequently Asked Questions

How do you automatically scrape event data from multiple websites?

Automatically scrape event data from multiple websites using an AI agent that can search, navigate, and extract structured information on a schedule. Olostep's Agent feature lets you define a prompt describing what event data to find (title, date, time, venue, price, organizer), then runs automatically on your chosen schedule. The agent handles site-to-site variations and stores results as structured JSON, eliminating manual scraper maintenance.

What's the best way to keep an event calendar up-to-date automatically?

Keep an event calendar up-to-date by scheduling an AI web agent to continuously discover and extract event details from the web. Olostep's scheduled Agent runs hourly or daily, searching for new and updated events, following organizer pages, and extracting normalized fields. Results are stored on Olostep's side and available via dashboard or API, so your calendar always reflects the latest information without manual updates.

How can I discover local events from the web at scale?

Discover local events at scale by using a web scraping agent that searches across multiple sources, follows links to event pages, and extracts structured data. Olostep's Agent can be configured to search for events by city or region, parse details like date, venue, and pricing, and de-duplicate results across runs. Scheduled execution keeps your event database fresh automatically, without building and maintaining custom scrapers.

What tools help automate event discovery and monitoring?

Event discovery automation requires a solution that can search the web, navigate to event pages, extract structured data, and run on a schedule. Olostep's Agent provides all of this in one feature—define your extraction prompt once, schedule runs (hourly/daily), and access results via dashboard or API. The agent stores data automatically and can track changes over time, making it ideal for event platforms and discovery apps.

How do you build an event aggregation platform?

Build an event aggregation platform by setting up scheduled web scraping that discovers events across multiple sources and normalizes them into a structured database. Use Olostep's Agent to define what event fields to extract (title, date, location, price, organizer), schedule it to run continuously, and pull results via API. The agent handles rendering, retries, and storage, letting you focus on building your platform's features instead of scraping infrastructure.