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$3.00 / 1,000 results

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Sessionize Speakers Directory Scraper

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Extracts speaker name, tagline, company, bio, topics, sessions, past and upcoming events, and social links from public Sessionize speaker profiles, via directory categories, search, or custom lists, priced pay-per-result.

Pricing

$3.00 / 1,000 results

Rating

0.0

(0)

Developer

Adam Schepis

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Sessionize Speakers Directory Scraper API through CLI

The Apify CLI is the official tool that allows you to use Sessionize Speakers Directory Scraper locally, providing convenience functions and automatic retries on errors.

Install Apify CLI

Using installation script (macOS/Linux):

$curl -fsSL https://apify.com/install-cli.sh | bash

Using installation script (Windows):

$irm https://apify.com/install-cli.ps1 | iex

Using Homebrew:

$brew install apify-cli

Using npm:

$npm install -g apify-cli

Other API clients include:

Sessionize Speakers Directory Scraper API in Python

Sessionize Speakers Directory Scraper API in JavaScript

Sessionize Speakers Directory Scraper OpenAPI definition

Sessionize Speakers Directory Scraper API

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Extract TED talks by topic, speaker or URL: title, speaker and occupation, views, duration, topics, dates, event, languages and transcript. Export JSON, CSV, Excel.

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Scrape any public Swapcard event into structured data: every exhibitor with real company description, email, website, full address, product categories and booth, plus all speakers and sessions. Optional speaker enrichment adds bios, socials, job titles and custom fields.

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Split any recording into speaker turns: transcript per speaker, talk-time stats, speaker-labelled SRT/VTT and ready-to-paste Markdown meeting notes. Whisper + voice clustering run inside the Actor — no API key. Failed or silent files are never billed.

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Turn webinar and event pages into speaker prospect lists with names, roles, companies, topics, dates, and outreach angles.

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Speaker diarization with sherpa-onnx: detect how many speakers there are, when each one talks, and optionally attach speaker labels to an existing transcript. Works on any audio or video.