Scrape Conference Event Details Into a Excel workbook Tracker

The Scenario

You handle sponsorship partnerships for a trade association. Every quarter you build a tracker of industry conference opportunities — who is running events, where, when, what the ticket prices look like, whether the audience profile matches your members' interests. A colleague handed off a list of 35 conference URLs in an Excel workbook before she left for another role. The tracker has been sitting empty since February.

Your board's sponsorship budget review is in two weeks.

The bad version:

• Open each conference URL, hunt for the event name (sometimes it is in the title tag, sometimes in an H1, sometimes only in an OG metadata field), find the date (sometimes on the homepage, sometimes buried on a schedule page linked from the footer), find the location (sometimes city-only, sometimes full venue address), find the ticket price (sometimes clearly listed, sometimes hidden behind a "Register" CTA that leads to Eventbrite)
• Get through 12 pages and realize the data is in four different formats across your columns because each site organized it differently, stop to reformat the first 12 rows
• Give up on three pages where ticket pricing is not published anywhere on the site, leave those cells blank, note to yourself to follow up — and then forget

You are supposed to be evaluating sponsorship return on investment, not hunting for date fields on 35 event websites.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent that lives inside your Excel workbook. It reads the URLs in column A, calls Scrapfly's event extraction model for each one, and writes event name, start date, location, and ticket price into the adjacent columns — consistently formatted across all 35 rows.

For each URL in column A, use Scrapfly's event extraction model to pull the event name, start date, venue location, and ticket price, then write the four fields into columns B, C, D, and E

What You Get

• Column B contains the event name as it appears on the page
• Column C contains the start date in a consistent format
• Column D contains the venue location — city, state, and venue name where available
• Column E contains the ticket price or a descriptive note (e.g., "Pricing not published," "Multiple tiers") where a single price is not listed
• Rows where the URL returned an error or the page was not an event listing are noted in column F rather than left blank

What If the Data Is Not Quite Ready

Several pages link out to Eventbrite for pricing rather than listing it directly

If column E is returning blank for pages that redirect pricing to a registration platform, tell SheetXAI to note the registration source rather than leave it empty:

For each URL in column A, use Scrapfly event extraction to pull event name, date, location, and ticket price into columns B through E — if pricing is hosted on an external platform like Eventbrite, write External Registration in column E and note the platform name in column F

You need to know which events have multiple ticket tiers

Some conferences offer early bird, general, and VIP pricing. A single price field misses that nuance:

For each URL in column A, use Scrapfly event extraction to pull event name, date, and location into columns B, C, and D — for ticket pricing, if multiple tiers exist, write the lowest published price in column E and note the number of tiers in column F

You want to filter to events in North America before populating the tracker

Your sponsorship budget only applies to North American events. Rather than filtering after extraction:

For each URL in column A, use Scrapfly event extraction to pull event name, date, location, and ticket price — only write rows into columns B through E if the venue location is in the United States or Canada, and skip events elsewhere

You want a fully scored sponsorship opportunity tracker built in one pass

For each URL in column A, use Scrapfly event extraction to pull event name, start date, location, and ticket price into columns B through E, then in column F score each event from 1 to 5 based on audience size implied by ticket price and estimated event scale, and in column G flag any event occurring before August 2026 as Near Term for priority review

One prompt covers the extraction, the scoring, and the prioritization — your board review document is ready.

Try It

Get the 7-day free trial of SheetXAI and open your conference URL tracker in Excel, then ask it to extract event name, date, location, and ticket price from all 35 pages using Scrapfly and populate the tracker in one pass. If you also need to crawl conference sites to discover additional event pages, see the spoke on crawling a site for an SEO audit.