Conference Speaker Scraper

SkillWeb & browsing

Extract speaker names, titles, companies, and bios from conference websites. Supports direct HTML scraping and Apify web scraper fallback for JS-heavy sites. Use for pre-event research and outreach targeting.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Conference Speaker Scraper skill

What this skill tells your AI

The instructions your AI receives, as published by gooseworks-ai/goose-skills in skills/lead-generation/capabilities/conference-speaker-scraper/SKILL.md and read by ahel’s review.

Extract speaker names, titles, companies, and bios from conference website /speakers pages. Supports direct HTML scraping with multiple extraction strategies, plus Apify fallback for JS-heavy sites.

Quick Start

No API key needed for direct scraping mode.

# Scrape speakers from a conference page
python3 skills/conference-speaker-scraper/scripts/scrape_speakers.py \
  --url "https://example.com/speakers"

# Use Apify for JS-heavy sites
python3 skills/conference-speaker-scraper/scripts/scrape_speakers.py \
  --url "https://example.com/speakers" --mode apify

# Custom conference name (otherwise inferred from URL)
python3 skills/conference-speaker-scraper/scripts/scrape_speakers.py \
  --url "https://example.com/speakers" --conference "Sage Future 2026"

# Output formats
python3 skills/conference-speaker-scraper/scripts/scrape_speakers.py --url URL --output json     # default
python3 skills/conference-speaker-scraper/scripts/scrape_speakers.py --url URL --output csv
python3 skills/conference-speaker-scraper/scripts/scrape_speakers.py --url URL --output summary

How It Works

Direct Mode (default)

Fetches the page HTML and tries multiple extraction strategies in order, using whichever returns the most results:

  1. Strategy A -- CSS class hints: Looks for speaker cards with class names containing "speaker", "presenter", "faculty", "panelist", "team-member"
  2. Strategy B -- Heading + paragraph patterns: Looks for repeated <h2>/<h3> + <p> structures
  3. Strategy C -- JSON-LD structured data: Checks for <script type="application/ld+json"> with speaker data
  4. Strategy D -- Platform embeds: Detects Sched.com/Sessionize patterns used by many conferences

Apify Mode

Uses apify/cheerio-scraper actor with a custom page function that targets common speaker card selectors. Standard POST/poll/GET dataset pattern.

CLI Reference

FlagDefaultDescription
--urlrequiredConference speakers page URL
--conferenceinferredConference name (otherwise inferred from URL domain)
--modedirectdirect (HTML scraping) or apify (Apify cheerio scraper)
--outputjsonOutput format: json, csv, or summary
--tokenenv varApify token (only needed for apify mode)
--timeout300Max seconds for Apify run

Output Schema

{
  "name": "Jane Smith",
  "title": "VP of Finance",
  "company": "Acme Corp",
  "bio": "Jane leads the finance transformation at...",
  "linkedin_url": "https://linkedin.com/in/janesmith",
  "image_url": "https://...",
  "conference": "Sage Future 2026",
  "source_url": "https://sagefuture2026.com/speakers"
}

Cost

  • Direct mode: Free (no API, no tokens)
  • Apify mode: Uses apify/cheerio-scraper -- minimal Apify credits

Testing Notes

HTML scraping is inherently fragile across conference sites. The multi-strategy approach maximizes coverage, but JS-heavy sites will require Apify mode. When direct scraping returns 0 results, try --mode apify.

Signals

GitHub stars
1k
Forks
206
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
conference-speaker-scraper
Source
github.com/gooseworks-ai/goose-skills