We extract virtual event schedules, speaker profiles, sponsor directories, and ticketing details from Airmeet. 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 Metadata objects from airmeet.com. All fields typed and schema-versioned.
"event_id": "evt_8921bx", "event_name": "Global Tech Summit 2026", "organiser_name": "TechForward Media", "start_date": "2026-09-15T09:00:00Z", "timezone": "UTC", "event_type": "Conference"
| # | event_id | event_name | organiser_name | start_date | end_date | timezone |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Speaker Profiles objects from airmeet.com. All fields typed and schema-versioned.
"speaker_id": "spk_4412", "full_name": "Jane Doe", "job_title": "Chief Technology Officer", "company": "DataFlirt", "linkedin_url": "https://linkedin.com/in/janedoe", "session_ids": "['sess_991', 'sess_994']"
| # | speaker_id | event_id | full_name | job_title | company | biography |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Session Schedules objects from airmeet.com. All fields typed and schema-versioned.
"session_id": "sess_991", "session_title": "Scaling Data Pipelines", "track_name": "Data Engineering", "start_time": "2026-09-15T10:00:00Z", "duration_minutes": 45, "tags": "['Data', 'Infrastructure']"
| # | session_id | event_id | session_title | track_name | start_time | end_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Sponsor Booths objects from airmeet.com. All fields typed and schema-versioned.
"sponsor_id": "spn_102", "sponsor_name": "CloudScale Inc", "tier": "Platinum", "booth_title": "Cloud Infrastructure Solutions", "website_url": "https://cloudscale.example.com", "resources_available": true
| # | sponsor_id | event_id | sponsor_name | tier | booth_title | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Ticketing & Pricing objects from airmeet.com. All fields typed and schema-versioned.
"ticket_id": "tkt_552", "ticket_name": "Early Bird Access", "price": 299.0, "currency": "USD", "is_free": false, "sales_end": "2026-08-01T23:59:59Z"
| # | ticket_id | event_id | ticket_name | price | currency | is_free |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our scraper handles Airmeet's complex SPA architecture, extracting clean event programmes, speaker directories, and sponsor lists without manual intervention.
Extract event names, dates, descriptions, and organiser metadata directly from public registration pages.
Capture speaker names, titles, companies, biographies, and social media links across all event sessions.
Map individual sessions to tracks, extract start and end times, and link them to respective speakers.
Collect sponsor names, booth details, tier levels, and external website links from the virtual expo hall.
Track ticket prices, availability windows, and currency types for public Airmeet events.
Bypass frontend rendering by directly intercepting Airmeet's backend API payloads for structured data.
Convert all session start and end times into standard UTC format, regardless of the event's local timezone.
Execute full JavaScript sessions to trigger lazy-loaded speaker profiles and paginated session schedules.
Monitor events for schedule changes, added speakers, or modified ticket prices, delivering only the diffs.
Brief in. Clean data out.
Provide Airmeet event URLs, organiser profiles, or keyword sets. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, API interception, and session management for airmeet.com.
Schema validation, null-rate checks, and data normalisation checks before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, Webhook, or API endpoint on agreed cadence.
Airmeet is a modern React application with complex state management. Here is how we extract clean data from it.
Airmeet relies heavily on client-side rendering. Instead of parsing complex React DOM structures, our pipeline intercepts the underlying GraphQL and REST API responses to extract pristine JSON data.
Event schedules display in the user's local timezone. We normalise all extracted timestamps to UTC and map concurrent tracks accurately, ensuring downstream systems receive consistent temporal data.
Speaker directories and sponsor lists often require user interaction to load. We use Playwright to simulate human scrolling behaviour, ensuring all paginated assets are fully loaded before extraction.
To prevent IP bans when scraping multiple events concurrently, we distribute requests across a pool of residential proxies, maintaining low request volumes per node.
Airmeet presents speakers and sessions separately in the frontend. We reconstruct the relational mapping using internal identifiers to provide a unified, structured dataset.
Sales teams extract sponsor lists and speaker directories to build targeted outreach lists for B2B campaigns.
Event organisers monitor competitor pricing, session topics, and speaker line-ups to optimise their own event strategies.
Content teams build databases of industry experts by extracting speaker profiles across niche virtual events.
Analysts track the frequency of specific topics and tracks to identify emerging industry trends.
Marketing agencies identify companies actively sponsoring virtual events to pitch their own sponsorship opportunities.
Industry portals aggregate schedules and ticketing links to provide a centralised directory of upcoming virtual events.
"Airmeet hosts thousands of industry-leading virtual events, but extracting schedule and speaker intelligence requires navigating complex SPA architecture and API structures."
Extracting Airmeet data requires full JavaScript execution and API interception. We bypass the frontend rendering entirely where possible, extracting clean JSON payloads directly from their backend endpoints. DataFlirt manages the proxy rotation, timezone normalisation, and schema mapping so your team receives ready-to-query data.
Everything supported by our airmeet.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 and deduplication. Playwright handles JavaScript rendering and API interception. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies to bypass rate limits. Rotation happens per-request to ensure high success rates.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About airmeet.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available event information from Airmeet is generally permissible under applicable law. DataFlirt targets only public, non-authenticated event pages, speaker profiles, and sponsor directories. We do not extract private attendee lists or circumvent authentication walls.
We use Playwright to execute JavaScript and intercept the underlying API responses. This approach is faster and more reliable than parsing complex React DOM structures.
Yes, provided the event page remains publicly accessible on Airmeet. We can extract historical schedules, speaker lists, and sponsor details.
We extract internal identifiers from Airmeet's API payloads to accurately link speakers to their respective sessions and tracks, delivering a fully relational dataset.
Our smallest packages start at a defined list of event URLs with weekly delivery. For continuous monitoring of specific organisers, we price based on volume and delivery frequency.
Yes. We provide a sample run of up to 20 events as part of the pre-engagement scoping process, allowing you to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off extraction of a major conference or continuous monitoring of virtual events - we scope, build, and operate the pipeline. Tell us what you need.
