Sessionize Speaker Directory Scraper

Scrape public speaker profiles from Sessionize.com. Returns name, tagline, location, full bio, photo, LinkedIn and Twitter/X URLs, company and personal website, topics, and area-of-expertise tags across all 19 industry categories — 78,000+ speakers in total.

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Sessionize Scraper Features

• Extracts 13 fields per speaker including bio, photo, and direct social URLs
• Pick which industry categories to scrape — one slug, several, or leave empty for all 19
• Returns topics and expertise areas as comma-separated tag strings
• Captures both LinkedIn and Twitter/X URLs when speakers list them
• Includes the directory category slug per record so you can group across categories
• No proxy required — Sessionize serves the directory publicly

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Who Uses Sessionize Speaker Data?

• Event organizers and conference programmers — Source vetted speakers by industry, topic, and location for upcoming events
• Speaker bureaus and PR firms — Build representation pipelines filtered by expertise and platform
• B2B sales teams — Generate outreach lists of subject-matter experts who are already willing to be public
• Recruiters — Identify senior practitioners by what they're talking about, not just what they put on their resume
• Content marketers and podcasters — Find guests with established credibility in a specific topic area

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How the Sessionize Scraper Works

1. Pick categories — Select one or more industry-category slugs, or leave the list empty to walk all 19.
2. Directory pagination — The scraper pages through each category's /speakers-directory/<slug> listing, collecting speaker profile paths.
3. Profile extraction — Each speaker page is fetched and parsed for name, tagline, bio, photo, social URLs, topics, and expertise.
4. Export — One record per speaker in your Apify dataset, tagged with the originating category.

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Input

Single category

{
  "categories": ["information-communications-technology"],
  "maxItems": 500
}

Multiple categories

{
  "categories": [
    "finance-banking",
    "health-medical",
    "law-regulation"
  ],
  "maxItems": 1000
}

All categories

{
  "categories": [],
  "maxItems": 0
}

Field	Type	Default	Description
categories	array	["information-communications-technology"]	Sessionize category slugs. Empty = all 19 categories.
maxItems	integer	10	Cap on speakers returned. 0 = unlimited.

Valid category slugs:

agriculture-food-forestry, arts, business-management, consumer-goods-services, energy-and-basic-resources, environment-and-cleantech, finance-banking, government-social-sector-education, health-medical, humanities-social-sciences, information-communications-technology, law-regulation, manufacturing-industrial-materials, media-information, physical-life-sciences, real-estate-architecture, region-country, transports-logistics, travel-tourism

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Sessionize Scraper Output Fields

{
  "speaker_name": "Anthony D. Atri",
  "tagline": "Principal Storage Architect — distributed systems and ML infrastructure",
  "location": "Boston, USA",
  "bio": "Anthony has worked on hyperscale storage for 20+ years at multiple Fortune-500 infrastructure groups.",
  "photo_url": "https://sessionize.com/image/cdn/...-anthony-datri.jpg",
  "linkedin_url": "https://www.linkedin.com/in/anthonydatri",
  "twitter_url": "https://twitter.com/anthonydatri",
  "company_url": "https://example-cloud.com",
  "website_url": "https://anthonydatri.com",
  "topics": "Ceph, distributed storage, kernel performance, ML infra",
  "expertise_areas": "Information & Communications Technology",
  "profile_url": "https://sessionize.com/anthony-datri",
  "category": "information-communications-technology"
}

Field	Type	Description
speaker_name	string	Speaker's full name
tagline	string	Speaker's professional tagline or short description
location	string	City and country
bio	string	Full biography from the profile page
photo_url	string	URL to the speaker's photo on Sessionize CDN
linkedin_url	string	LinkedIn profile URL when provided
twitter_url	string	Twitter/X profile URL when provided
company_url	string	Speaker's company website URL when provided
website_url	string	Personal website URL when provided
topics	string	Comma-separated topic tags from the profile
expertise_areas	string	Comma-separated industry expertise tags
profile_url	string	Full URL to the speaker's public Sessionize profile
category	string	Sessionize directory category slug the speaker was found under

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FAQ

How do I scrape speakers from Sessionize?

Sessionize Speaker Scraper handles it. Pick one or more category slugs (or leave empty for all 19), set maxItems, and run. The scraper pages through each directory category, then fetches each speaker's public profile for bio, socials, topics, and expertise.

How much does this actor cost to run?

Sessionize Speaker Scraper uses pay-per-event pricing on the default_2603_basic profile at a 1.0x coefficient. No proxy fees. A 1,000-speaker run costs cents in platform fees.

Does this scrape private or paywalled speaker data?

Sessionize Speaker Scraper only touches the public speakers directory and publicly listed profile pages. It does not access organizer-only views, session submissions, or any data behind authentication. If a speaker chose not to publish a field on their profile, it won't appear in the output either.

Can I filter by location or topic?

Sessionize Speaker Scraper exposes category-level filtering at input. Location and topic come back as fields on every record — a downstream filter on location LIKE '%Berlin%' or topics LIKE '%LLM%' gets you the slice you want.

Does this actor need proxies?

Sessionize Speaker Scraper runs proxy-free. Sessionize serves the directory and profile pages publicly with reasonable rate limits, and the scraper paces requests inside them.

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Need More Features?

Need session-history extraction, conference-affiliation enrichment, or scheduled re-runs to catch new speakers? Open an issue or get in touch.

Why Use Sessionize Speaker Scraper?

• Both socials, not just one — Returns LinkedIn and Twitter/X URLs separately when speakers publish both. Most directory scrapers pick one and call it done.
• Topics and expertise split — topics (specific subjects) and expertise_areas (industry tags) are two different fields. That distinction matters when you're segmenting for a specific event or audience.
• Walk one category or all 19 — One actor input controls how wide the crawl goes. Scrape a single industry for a niche conference, or pull the entire directory once and segment later.