We extract trade show schedules, exhibitor lists, speaker profiles, and venue details from 10times. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Event Details objects from 10times.com. All fields typed and schema-versioned.
"event_id": "EVT-99214", "name": "Global Tech Summit 2026", "start_date": "2026-09-14", "end_date": "2026-09-16", "city": "London", "country": "UK", "industry": "Technology & IT", "edition": "14th Edition"
| # | event_id | name | start_date | end_date | venue_name | city |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Exhibitor Data objects from 10times.com. All fields typed and schema-versioned.
"exhibitor_id": "EXH-4410", "event_id": "EVT-99214", "company_name": "DataFlirt Solutions", "booth_number": "A-42", "industry_category": "Data Infrastructure", "country": "India", "website_url": "https://dataflirt.com"
| # | exhibitor_id | event_id | company_name | booth_number | industry_category | website_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Speaker Profiles objects from 10times.com. All fields typed and schema-versioned.
"speaker_id": "SPK-8821", "full_name": "Jane Doe", "designation": "Chief Data Officer", "company_name": "Acme Corp", "session_topic": "Scaling Data Pipelines", "linkedin_url": "https://linkedin.com/in/janedoe", "bio": "Jane leads data engineering at Acme Corp."
| # | speaker_id | event_id | full_name | designation | company_name | session_topic |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Venue Information objects from 10times.com. All fields typed and schema-versioned.
"venue_id": "VEN-102", "name": "ExCeL London", "city": "London", "country": "UK", "capacity": 100000, "map_coordinates": "51.5076,-0.0297", "website_url": "https://excel.london"
| # | venue_id | name | address_line | city | country | capacity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Organizer Details objects from 10times.com. All fields typed and schema-versioned.
"organizer_id": "ORG-551", "name": "Tech Events Global", "total_events_hosted": 42, "average_rating": 4.6, "website_url": "https://techeventsglobal.com", "founded_year": 2012, "contact_person": "Mark Smith"
| # | organizer_id | name | contact_person | phone_number | email_address | website_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our 10times scraper handles event discovery, paginated exhibitor lists, and dynamically loaded speaker directories with proxy rotation and session management built in.
Extract event names, exact dates, descriptions, industry categories, and historical edition data across all global regions.
Capture company names, booth numbers, descriptions, and website URLs from dynamically loaded exhibitor lists.
Scrape speaker names, job titles, company affiliations, and session topics mapped to specific event IDs.
Extract venue names, full addresses, map coordinates, and facility details for comprehensive logistical planning.
Gather organizer contact information, event history, and aggregated ratings to evaluate event credibility.
Monitor ticket tiers, early bird pricing, and availability status for trade shows and conferences.
Identify event sponsors, sponsorship tiers, and associated corporate links to map industry investments.
Access past event editions, attendee reviews, and ratings to analyse event growth and performance over time.
Run continuous pipelines at daily or weekly cadences to detect new event announcements and exhibitor additions.
Brief in. Clean data out.
Provide target industries, regions, or specific event URLs. We design the extraction schema together.
We configure Playwright crawlers, proxy rotation, and session management to handle 10times pagination and rate limits.
Schema validation, null-rate checks, and sample data reviews before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
10times employs rate limiting and dynamic content loading. Here is how we maintain extraction stability.
10times monitors request frequency and IP reputation. Our crawlers use residential ISP proxies with randomised request timing to prevent IP bans and maintain continuous extraction.
Exhibitor and speaker lists on 10times often load dynamically via JavaScript as the user scrolls. We run full Playwright browser sessions to trigger lazy-loading and capture the complete dataset.
Event page structures vary by event size and organizer tier. We implement multiple fallback chains per field to ensure reliable extraction even when specific DOM elements shift.
For tracking large event catalogues, we maintain a hash index of last-seen values. Subsequent runs only push diffs, such as newly added exhibitors or updated dates.
We monitor extraction yields in real time. If a layout change causes speaker or exhibitor counts to drop below historical averages, our alerting stack flags the pipeline for immediate engineering review.
Sales teams extract exhibitor lists from relevant trade shows to build targeted prospect lists prior to the event.
Marketing departments track competitor presence across global trade shows to optimise their own event sponsorship budgets.
Strategy teams identify emerging regional trade shows to evaluate new geographic markets and industry niches.
Real estate and hospitality analysts assess venue popularity, event frequency, and seasonal trends for major convention centres.
Conference organizers extract speaker directories from competing events to identify and recruit proven industry experts.
Corporate branding teams evaluate event scale, past sponsors, and attendee demographics to calculate sponsorship ROI.
"10times aggregates the global B2B event landscape, but extracting structured exhibitor and speaker data requires navigating aggressive rate limits and dynamic pagination."
Most teams underestimate the investment required: reliable 10times scraping requires residential proxies, full JavaScript rendering for infinite scroll, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our 10times.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across global regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About 10times.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available event information, exhibitor names, and venue details is generally permissible. DataFlirt targets only public, non-authenticated data. We do not extract personal attendee data or circumvent authentication walls.
Yes. We use automated browser sessions to handle infinite scroll and pagination, ensuring we capture the complete list of exhibitors for any given event.
Our infrastructure utilizes Playwright to render JavaScript and simulate user scrolling behaviour, forcing the platform to load and display all speaker profiles before extraction.
Yes. We can extract data from past editions of events, including historical exhibitor lists, past speakers, and user reviews, provided the pages are still accessible on the platform.
No. We do not extract personal contact information for general attendees due to privacy regulations and platform gating.
Pipelines can be configured to run daily or weekly. For active event discovery, daily runs ensure you capture new event announcements and exhibitor additions within 24 hours.
Yes. We provide a sample run of up to 100 events or specific exhibitor lists during the scoping process, allowing you to validate schema fit and data completeness before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of tech conferences or a continuous feed of global trade show exhibitors - we scope, build, and operate the pipeline. Tell us what you need.
