Conference Speaker Scraper

Extract structured speaker data from any conference website. Point it at a speakers page, get back names, titles, companies, bios, and photos — ready for outreach, enrichment, or market analysis.

What it does

Most conference websites are JavaScript-rendered SPAs (React, Next.js, Swapcard, Squarespace). This scraper uses Playwright to render the page like a real browser, then auto-detects speaker cards and extracts structured data.

No configuration needed for most sites. The scraper automatically:

• Detects speaker card layouts (tested on Web Summit, SaaStr, TechCrunch Disrupt, and more)
• Finds names, job titles, companies, photos, and bios
• Handles pagination (Load More buttons, numbered pages, infinite scroll)
• Dismisses cookie banners
• Deduplicates across pages
• Resolves relative URLs to absolute

For custom or unusual layouts, you can provide CSS selector overrides.

Output

Each speaker record contains:

Field	Description	Example
first_name	First name	Anton
last_name	Last name	Osika
full_name	Full name	Anton Osika
job_title	Role / position	Co-founder & CEO
company_name	Company or organization	Lovable
event_name	Conference name (from input)	Web Summit 2026
photo_url	Speaker headshot URL	https://...
bio	Speaker biography
session_topic	Talk or panel topic
speaker_url	Link to speaker detail page	https://websummit.com/attendees/...
linkedin_url	LinkedIn profile (if on page)

Example

Input:

{
  "speakersUrl": "https://websummit.com/speakers",
  "eventName": "Web Summit 2026",
  "maxSpeakers": 50
}

Output (50 speakers in ~23 seconds):

Anton Osika — Co-founder & CEO @ Lovable
Alex Schultz — CMO @ Meta
Cristobal Valenzuela — Founder & CEO @ Runway
Toto Wolff — Team Principal & CEO @ Mercedes-AMG PETRONAS F1 Team
Matthew Prince — Co-founder & CEO @ Cloudflare
Brad Smith — President & Vice Chair @ Microsoft
Robert Playter — CEO @ Boston Dynamics
Rose Wang — COO @ Bluesky
...

Use cases

Sales & BD teams

Conference speakers are decision-makers publicly broadcasting their priorities. Scrape the speakers list before a conference, enrich with email addresses, and reach out with context: "Saw you're speaking at [conference] about [topic] — we work with teams at that exact stage."

Investor research

Track which founders and executives are on the conference circuit. Speaking at tier-1 conferences often signals fundraising activity, product launches, or market expansion.

Market intelligence

Map which companies are investing in conference presence across your industry. Spot emerging players, track competitor activity, and identify potential partners.

Recruiting

Conference speakers are proven domain experts who are actively visible. Build targeted talent pipelines from industry-specific events.

Connector OS integration

Feed the dataset directly into Connector OS Station to run market matching. The scraper output is designed to plug into the Connector OS I Layer — speakers become demand or supply signals that the matching engine evaluates against your market. Conference speakers are some of the highest-signal records you can feed into the system: they're decision-makers, they're active, and their session topics tell you exactly what they care about.

Flow: Scrape speakers → Get Dataset ID → Paste into Station → Run matching → Get scored introductions with reasoning.

Supported sites

Tested on:

• Web Summit (Swapcard platform, React SPA)
• SaaStr Annual (Squarespace)
• TechCrunch Disrupt (WordPress)
• Money20/20 (Next.js)
• Most conference sites with standard speaker card layouts

The auto-detection handles styled-components, BEM, and custom class naming conventions. If a site uses an unusual layout, use the speakerCardSelector override.

Input options

Field	Required	Description
speakersUrl	Yes	URL of the conference speakers page
eventName	Yes	Name of the conference (included in output)
maxSpeakers	No	Max speakers to scrape (default: 500)
waitForSelector	No	CSS selector to wait for before scraping
speakerCardSelector	No	Override: CSS selector for speaker cards
paginationSelector	No	Override: CSS selector for Next/Load More button
proxyConfig	No	Apify proxy configuration

Cost

Typical runs use ~0.05 compute units (a few cents). Most conferences have 50-500 speakers, which takes 20-120 seconds to scrape.