We extract exhibitor profiles, product sectors, machinery classifications, booth mappings, and speaker schedules from ITMA. 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 Exhibitor Profiles objects from itma.com. All fields typed and schema-versioned.
"exhibitor_id": "EX-8921", "company_name": "Rieter Machine Works Ltd.", "country": "Switzerland", "website": "https://www.rieter.com", "booth_number": "H2-C201", "hall_number": "Hall 2", "product_sectors": "['Spinning', 'Automation']", "phone": "+41 52 208 7171"
| # | exhibitor_id | company_name | country | website | description | booth_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Product Categories objects from itma.com. All fields typed and schema-versioned.
"sector_id": "CH-102", "sector_name": "Ring Spinning Machines", "parent_category": "Spinning", "exhibitor_count": 42, "machinery_type": "Yarn Production", "application_area": "Apparel Textiles", "url": "https://itma.com/sectors/spinning/ring-spinning"
| # | sector_id | sector_name | parent_category | description | exhibitor_count | machinery_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Hall & Booth Mapping objects from itma.com. All fields typed and schema-versioned.
"hall_id": "H2", "hall_name": "Spinning & Winding", "floor_level": "Ground", "booth_id": "H2-C201", "exhibitor_id": "EX-8921", "zone_type": "Machinery", "coordinates": "45.12, 9.18"
| # | hall_id | hall_name | floor_level | booth_id | exhibitor_id | booth_size_sqm |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Events & Schedules objects from itma.com. All fields typed and schema-versioned.
"event_id": "EV-304", "title": "Sustainable Dyeing Innovations", "date": "2027-06-10", "start_time": "14:00", "end_time": "15:30", "location": "Innovation Forum, Hall 3", "track": "Sustainability", "speaker_ids": "['SPK-112', 'SPK-405']"
| # | event_id | title | date | start_time | end_time | location |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Speakers objects from itma.com. All fields typed and schema-versioned.
"speaker_id": "SPK-112", "full_name": "Dr. Elena Rossi", "company": "EcoTextile Research", "job_title": "Head of Material Science", "session_ids": "['EV-304']", "linkedin_url": "https://linkedin.com/in/elenarossi", "image_url": "https://itma.com/images/speakers/spk112.jpg"
| # | speaker_id | full_name | company | job_title | biography | session_ids |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our ITMA scraper navigates the complex exhibitor directory, extracting nested machinery classifications, booth locations, and company profiles with full session management built in.
Extract company names, countries, booth numbers, and detailed descriptions across the entire ITMA exhibitor list.
Capture the complete taxonomy of textile machinery categories, from spinning and weaving to finishing and garment making.
Map exhibitors to specific halls and booth sizes, providing spatial context for trade show logistics.
Extract public-facing website URLs, email addresses, and phone numbers for direct B2B outreach.
Monitor exhibitor press releases and innovation awards published on the ITMA portal.
Extract session titles, times, locations, and speaker biographies from the ITMA conference agenda.
Group exhibitors by national associations and country pavilions for regional market analysis.
Track new exhibitor additions, booth reassignments, and cancellation updates leading up to the event.
Configure one-off bulk extracts or regular weekly syncs to monitor directory updates.
Brief in. Clean data out.
Provide target product sectors, halls, or specific exhibitor lists. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for itma.com.
Schema validation, null-rate checks, and sample data review before full pipeline launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Trade show directories use aggressive rate limiting and complex JavaScript rendering to protect exhibitor data. Here is how we maintain extraction stability.
Trade show directories implement strict request thresholds to prevent bulk scraping. We distribute requests across a pool of residential proxies, inserting randomised delays to mimic human browsing behaviour and avoid IP bans.
ITMA uses JavaScript frameworks to load exhibitor details and booth maps dynamically. Our pipeline uses Playwright to execute client-side scripts, ensuring we capture data that standard HTTP requests miss.
Event portals frequently update their layout as the exhibition date approaches. We use resilient CSS and XPath selectors with multiple fallback chains to ensure continuous data flow.
We maintain state across pipeline runs. When an exhibitor changes their booth number or adds a new product category, we emit only the updated records, saving compute and storage costs.
We monitor extraction metrics continuously. If the exhibitor count drops unexpectedly or pagination fails, our system alerts engineers immediately to adjust selectors.
Textile machinery manufacturers track competitor booth sizes, product launches, and category positioning.
Textile mills and garment factories extract exhibitor contact details to schedule targeted B2B meetings.
Analysts track the growth of specific product sectors, such as sustainable dyeing or automation, by measuring exhibitor participation.
Logistics providers use hall mapping and booth size data to target exhibitors needing freight and installation services.
Industry associations cross-reference ITMA exhibitor lists with their own member databases to facilitate trade delegations.
Private equity firms monitor the presence and scale of specific machinery manufacturers at the industry's premier event.
"ITMA represents the global baseline for textile technology, but its directory is locked behind dynamic web views rather than queryable APIs."
Extracting exhibitor data requires navigating complex pagination, JavaScript-rendered booth maps, and strict rate limits. DataFlirt handles the proxy rotation, session management, and parsing logic so your team receives clean, structured data ready for analysis.
Everything supported by our itma.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 retry logic. Playwright handles JavaScript rendering and interaction flows for complex directory structures.
We maintain pools of residential ISP proxies. Rotation happens per-request to bypass strict rate limits imposed by event portals.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management, with all state stored in PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About itma.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible. DataFlirt extracts only public exhibitor and event data. We do not bypass authentication walls or extract private attendee information.
We typically run weekly or daily updates leading up to the exhibition. During the event, we can configure higher frequency runs if the platform publishes live updates.
Yes. We extract parent categories, sub-categories, and specific machinery types, maintaining the relationships to each exhibitor.
Yes. We parse the underlying data structures of interactive maps to extract hall numbers, booth IDs, and spatial coordinates where available.
We extract data currently live on the site. If archives of past exhibitions remain publicly accessible, we can target those specific URLs.
We recommend CSV or XLS for direct imports into Salesforce or HubSpot. We map the fields to match your target schema prior to delivery.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full exhibitor directory export or continuous monitoring of product sectors, we scope, build, and operate the pipeline. Tell us what you need.
