How to scrape events data from Eventbrite using Minexa.ai
- Minexa.ai
- 6 days ago
- 2 min read
Eventbrite lists thousands of online webinars at any given time. Collecting that data manually, event by event, is slow and does not scale. This guide shows how to extract structured webinar listings from Eventbrite using Minexa.ai, a no-code Chrome extension that turns any page into a structured dataset in minutes.
What you get out of the extraction
Before walking through the steps, here is a quick checklist of what Minexa pulls from the Eventbrite webinar listing page:
Event title - the full name of each webinar listing
Event description - the short summary shown on the listing card
Event link - the direct URL to the event detail page
Registration link - the href pointing to the sign-up or ticket page
Image source - the thumbnail URL for each event card
Date and time label - the displayed date string per listing
Organiser name - the host or organisation running the event
Minexa discovers all of these automatically. You do not define a schema or write any selectors.
Video walkthrough
Step-by-step extraction
Start by opening the Minexa.ai home page and installing the Chrome extension if you have not already done so.
Navigate to the Eventbrite online webinars page at eventbrite.com/d/online/webinar/. The listing loads with event cards, each showing a title, date, organiser, and thumbnail.
Open the Minexa extension from your browser toolbar. The popup appears with an 'I'm on the right page' button. Click it to confirm you are on the page you want to scrape.
Minexa analyses the page and detects the pagination structure automatically. You will see the list of pagination controls found, along with a Continue button to proceed.
The next screen lets you validate the pagination logic and choose between list-only or list-plus-detail extraction. For most event research tasks, list mode is sufficient to capture all visible fields.
Choose between simple and advanced scraping modes on the job start screen. Simple mode works well for standard listing pages like this one.
Hover over the event listing container on the page. Minexa highlights the full data block in blue. Click to select it as the extraction target.
After clicking 'Create Scraper', Minexa processes the selection and surfaces all extracted data points with navigation controls to browse through them.
Sample extracted data
Here is an example of what the structured output looks like for two Eventbrite webinar listings:
[
{
"event_title": "Growth Marketing Masterclass",
"event_description": "Learn proven tactics used by top SaaS teams",
"event_link": "https://www.eventbrite.com/e/growth-marketing-masterclass",
"registration_link": "https://www.eventbrite.com/e/growth-marketing-masterclass/register",
"date_label": "Tue, 15 Jul 2025 18:00",
"organiser_name": "GrowthLab Events"
},
{
"event_title": "AI in Product Management",
"event_description": "Practical frameworks for product teams adopting AI",
"event_link": "https://www.eventbrite.com/e/ai-in-product-management",
"registration_link": "https://www.eventbrite.com/e/ai-in-product-management/register",
"date_label": "Wed, 16 Jul 2025 17:00",
"organiser_name": "PM Collective"
}
]Export and scheduling
Once the job runs, export your data to Excel, Google Sheets, or JSON. You can also schedule the scraper to run on a recurring basis, which is useful for tracking new webinars added to a category over time.
For a related walkthrough on scraping review and reputation data without code, see how to scrape reviews and reputation data from ProductReview using Minexa.ai.
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