How to Scrape Conference Exhibitor Lists for Sales Prospecting

It's Tuesday morning. Your sales team is prepping for the biggest trade show of the year. You need a list of every exhibitor, speaker, and sponsor โ with company names, booth numbers, descriptions, and ideally contact info โ so you can prioritize who to visit and who to prospect before the event.
You go to the conference website. The exhibitor list is there: 400+ companies spread across an interactive floor plan with infinite scroll, lazy-loaded cards, and no export button.
So you start copying and pasting.
Company name. Tab. Description. Tab. Website. Tab. Next company. Repeat 400 times.
This is the reality for thousands of SDRs, AEs, and marketing teams every year. Conference and trade show websites are designed for attendees to browse โ not for sales teams to extract. The data is right there, but getting it into a usable format (a spreadsheet, a CSV, your CRM) is absurdly painful.
There's a better way.
Why Conference Lists Are Gold for Sales Teamsโ
Conference exhibitor, speaker, and sponsor lists are among the highest-quality prospecting sources available:
1. Pre-Qualified by Budgetโ
Companies that pay $5,000-$50,000+ for a booth at a trade show have budget. They're investing in growth. That's a buying signal you can't get from a cold database.
2. Industry-Specific Targetingโ
A cybersecurity conference exhibitor list is a curated list of cybersecurity companies. A SaaS conference speaker list is a roster of SaaS leaders. No filtering required โ the conference organizer already did it for you.
3. Timely and Relevantโ
Conference lists are current. These companies are actively participating in industry events right now, which means they're engaged, investing, and accessible.
4. Multi-Stakeholder Dataโ
Speaker lists give you names of decision-makers. Exhibitor lists give you company profiles. Sponsor lists tell you who has the biggest budgets. Combined, it's a complete prospecting package.
5. Pre-Event Outreach Advantageโ
The most successful conference prospecting happens before the event. If you can email or LinkedIn-message an exhibitor before the show with "I saw you're exhibiting at [event] โ I'll be at Booth 342, would love to connect," your meeting rate goes through the roof.
The Pain of Manual Conference Data Extractionโ
Let's be honest about what manual extraction looks like:
Time cost: A typical conference with 300 exhibitors takes 4-6 hours to manually copy into a spreadsheet. That's nearly a full working day.
Error rate: Copy-paste errors are inevitable. Company names get truncated, URLs get mangled, descriptions get partially captured.
Format inconsistency: Different conferences structure their data differently. Some have separate pages per exhibitor. Others use interactive maps. Others use accordion-style lists. Each requires a different manual approach.
Dynamic content problems: Many conference sites use JavaScript-heavy frameworks (React, Angular) that render exhibitor data dynamically. You can't even "View Source" to find the data โ it's loaded asynchronously.
Repetitive across events: If your team attends 10+ events per year, you're burning 40-60 hours annually just copying exhibitor data. That's a full work week of pure drudgery.
Methods for Extracting Conference Dataโ
Method 1: Manual Copy-Paste (The Hard Way)โ
Process: Open the conference website, manually select each exhibitor's name, description, and details, paste into a spreadsheet.
Pros: No tools required, works on any site Cons: Extremely time-consuming, error-prone, soul-crushing
Time per event: 4-8 hours for 300 exhibitors
Method 2: Browser Extensions (Semi-Automated)โ
Tools like Instant Data Scraper (Chrome extension) can detect tables on web pages and export them.
Process: Install the extension, navigate to the exhibitor page, click the extension, hope it detects the right data, export to CSV.
Pros: Free, fast when it works Cons: Only works on simple HTML tables. Fails completely on dynamically-loaded content, interactive maps, and paginated lists. Captures lots of irrelevant data. Requires manual cleanup.
Success rate: Works on maybe 20% of conference websites. Most modern event sites use dynamic rendering that breaks these extensions.
Method 3: Custom Python Scripts (Technical)โ
For developers, writing a custom scraper using libraries like Scrapy, BeautifulSoup, or Playwright is an option.
Process: Inspect the conference website's HTML structure, write a Python script to extract the relevant elements, handle pagination and dynamic loading, export to CSV.
# Example: Scraping a simple exhibitor list with BeautifulSoup
import requests
from bs4 import BeautifulSoup
url = "https://example-conference.com/exhibitors"
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
exhibitors = []
for card in soup.find_all('div', class_='exhibitor-card'):
name = card.find('h3').text.strip()
desc = card.find('p', class_='description').text.strip()
exhibitors.append({'name': name, 'description': desc})
Pros: Highly customizable, handles complex sites, can be reused Cons: Requires programming skills, breaks when site structure changes, needs to be rebuilt for each conference site, can take hours to debug JavaScript-rendered content
Time investment: 2-4 hours to write and debug per conference site
Method 4: Apify Actors (Platform-Dependent)โ
Apify offers pre-built scrapers ("Actors") for specific conference platforms like Map Your Show, 10times, and Xporience.
Process: Find the right Actor for your conference platform, input the URL, run the scraper, download results.
Pros: Pre-built for specific platforms, handles dynamic content, outputs structured data Cons: Only works for supported platforms (many conference sites aren't covered), requires an Apify account, costs credits for large runs, doesn't work for custom-built conference websites
Pricing: Free tier includes some usage; paid plans from $49/month
Method 5: Web Scraping Services (Expensive)โ
Companies like WebScrapingExpert and ScrapeHero offer custom scraping as a service.
Process: Submit the conference URL, they build a custom scraper, deliver results in 24-48 hours.
Pros: Hands-off, handles any site Cons: Expensive ($50-$500+ per project), slow turnaround, not practical for frequent use
Method 6: MarketBetter Conference Scraper (Free, Any Site)โ
MarketBetter's Conference Scraper takes a completely different approach: paste any conference URL and get structured CSVs of speakers, exhibitors, and sponsors.
How it works:
- Paste the conference website URL
- The AI-powered scraper analyzes the site structure, navigates through exhibitor directories, speaker pages, and sponsor lists
- You get downloadable CSVs with structured data: company names, descriptions, booth numbers, speaker names, titles, and topics
Why it's different:
- Works on any conference website โ not limited to specific platforms like Map Your Show or Eventbrite
- AI-powered navigation โ handles dynamic content, infinite scroll, paginated lists, and JavaScript-rendered pages
- Multiple data types โ extracts speakers, exhibitors, AND sponsors in one pass
- Structured output โ clean CSVs ready for import into your CRM or outreach tool
- Completely free โ no account, no credits, no per-use charges
Time per event: 2-5 minutes (versus 4-8 hours manually)
The Conference Prospecting Workflowโ
Here's the complete workflow for turning conference data into booked meetings:
Step 1: Extract the Dataโ
Use MarketBetter's Conference Scraper to pull exhibitor, speaker, and sponsor lists from your target conference.
Step 2: Enrich with Contact Dataโ
Conference lists give you company names, but you need individual contacts. Use tools like:
- MarketBetter AI Lead Generator โ find buyer contacts at each company on LinkedIn
- Apollo.io โ search for contacts by company and title
- LinkedIn Sales Navigator โ find decision-makers at target companies
Step 3: Prioritize by Fitโ
Not every exhibitor is a good prospect. Score your list by:
- Company size โ do they fit your ICP?
- Industry fit โ are they in your target vertical?
- Technology fit โ use our Tech Stack Detector to check if they use compatible/competitive technology
- Sponsor level โ Platinum sponsors have bigger budgets than basic exhibitors
Step 4: Pre-Event Outreachโ
Reach out 2-4 weeks before the event:
Email template:
Hi [Name],
I noticed [Company] is exhibiting at [Conference] โ we'll be there too.
[One sentence about what you do and why it's relevant to them]
Would love to grab 15 minutes at the event. Are you available on [day]?
LinkedIn message template:
Hey [Name], saw you're speaking at [Conference] on [topic]. Really looking forward to your session.
We work with companies like [similar company] on [relevant problem]. Would be great to connect while we're both there.
Step 5: At-Event Meetingsโ
With pre-scheduled meetings, your conference ROI multiplies. Instead of wandering the floor hoping for productive conversations, you arrive with a full calendar.
Step 6: Post-Event Follow-Upโ
Within 48 hours of the event, follow up with everyone you met and everyone who didn't respond to pre-event outreach:
Great connecting at [Conference], [Name]. As discussed, [reference specific conversation point].
Here's [the resource/demo/proposal] I mentioned. Would [date] work for a follow-up call?
Real-World Example: SaaStr Annualโ
Let's say your team is attending SaaStr Annual, one of the largest SaaS conferences with 300+ exhibitors and 200+ speakers.
Manual approach:
- Time to extract exhibitor list: ~6 hours
- Time to extract speaker list: ~3 hours
- Total data extraction: 9+ hours
- Result: One messy spreadsheet with inconsistent formatting
MarketBetter Conference Scraper approach:
- Paste the SaaStr exhibitor page URL
- Wait 3-5 minutes
- Download clean CSVs of exhibitors, speakers, and sponsors
- Total data extraction: 5 minutes
- Result: Three clean, structured CSVs ready for CRM import
Time saved: 8+ hours per event. Multiply that by 10 events per year, and you've reclaimed 80+ hours of productive selling time.
Tips for Effective Conference Prospectingโ
Start Earlyโ
The best conference prospecting starts 4-6 weeks before the event. Exhibitor lists are usually published 2-3 months in advance. Don't wait until the week before.
Focus on Speakersโ
Conference speakers are typically senior leaders (VP+) who are active in the industry and open to networking. They're often higher-quality prospects than random booth visitors.
Layer Multiple Data Sourcesโ
Combine conference data with:
- Lookalike Company Finder to find similar companies not at the conference
- Tech Stack Detector to qualify by technology fit
- LinkedIn to research individual contacts
Track Your Metricsโ
Measure conference prospecting ROI:
- Pre-event emails sent
- Meetings booked before the event
- Meetings held at the event
- Deals generated from conference contacts
- Revenue attributed to conference prospecting
Get Startedโ
Stop manually copying exhibitor data from conference websites. Paste any conference URL into MarketBetter's free Conference Scraper and get structured CSVs of speakers, exhibitors, and sponsors in minutes.
Try the Conference Scraper free โ
Once you have your conference list, use our AI Lead Generator to find buyer contacts at each company, or try the GiftDM Copilot to personalize outreach gifts for your top prospects.
