# Sessionize Speaker Directory Scraper (`jungle_synthesizer/sessionize-speaker-scraper`) Actor Scrape public speaker profiles from Sessionize.com — names, taglines, bios, locations, LinkedIn/Twitter URLs, topics, and areas of expertise across 18 industry categories - **URL**: https://apify.com/jungle\_synthesizer/sessionize-speaker-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Sessionize Speaker Directory Scraper Scrape public speaker profiles from [Sessionize.com](https://sessionize.com/speakers-directory). 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. --- ### 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 --- ### 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 --- ### 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/` 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. --- ### Input #### Single category ```json { "categories": ["information-communications-technology"], "maxItems": 500 } ```` #### Multiple categories ```json { "categories": [ "finance-banking", "health-medical", "law-regulation" ], "maxItems": 1000 } ``` #### All categories ```json { "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` *** ### Sessionize Scraper Output Fields ```json { "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 | *** ### 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. *** ### Need More Features? Need session-history extraction, conference-affiliation enrichment, or scheduled re-runs to catch new speakers? [Open an issue](https://console.apify.com/actors/issues) 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. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `categories` (type: `array`): Which Sessionize speaker directory categories to scrape. Leave empty to scrape all 19 categories. ## `maxItems` (type: `integer`): Maximum number of speaker profiles to scrape. Set to 0 for no limit. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "categories": [ "information-communications-technology" ], "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "categories": [ "information-communications-technology" ], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/sessionize-speaker-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "categories": ["information-communications-technology"], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/sessionize-speaker-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "categories": [ "information-communications-technology" ], "maxItems": 10 }' | apify call jungle_synthesizer/sessionize-speaker-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/sessionize-speaker-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Sessionize Speaker Directory Scraper", "description": "Scrape public speaker profiles from Sessionize.com — names, taglines, bios, locations, LinkedIn/Twitter URLs, topics, and areas of expertise across 18 industry categories", "version": "0.1", "x-build-id": "Rv7aEkVXHg1I8ub8g" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~sessionize-speaker-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-sessionize-speaker-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~sessionize-speaker-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-sessionize-speaker-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~sessionize-speaker-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-sessionize-speaker-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "categories": { "title": "Industry Categories", "type": "array", "description": "Which Sessionize speaker directory categories to scrape. Leave empty to scrape all 19 categories.", "items": { "type": "string", "enum": [ "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" ], "enumTitles": [ "Agriculture, Food & Forestry", "Arts", "Business & Management", "Consumer Goods & Services", "Energy & Basic Resources", "Environment & 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" ] }, "default": [ "information-communications-technology" ] }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of speaker profiles to scrape. Set to 0 for no limit.", "default": 10 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```