We extract breeder directories, cattery profiles, show calendars, judging records, and breed standards from TICA. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 Recognised Breeds objects from tica.org. All fields typed and schema-versioned.
"breed_name": "Bengal", "abbreviation": "BG", "category": "Championship", "coat_length": "Shorthair", "pattern": "Spotted", "recognised_date": "1986-05-01", "standard_pdf_url": "https://tica.org/phocadownload/bg.pdf"
| # | breed_name | abbreviation | category | origin | coat_length | pattern |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Breeder Directory objects from tica.org. All fields typed and schema-versioned.
"breeder_name": "Jane Doe", "cattery_name": "BengalDreams", "location_country": "USA", "location_state": "California", "breeds_raised": "['Bengal', 'Toyger']", "tica_member_status": "Active", "email_address": "jane@bengaldreams.example.com"
| # | breeder_name | cattery_name | location_country | location_state | website_url | email_address |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Show Calendars objects from tica.org. All fields typed and schema-versioned.
"event_name": "Annual Feline Festival", "host_club": "Pacific Cat Club", "start_date": "2026-10-12", "end_date": "2026-10-14", "location_city": "Portland", "location_state": "Oregon", "show_status": "Scheduled"
| # | event_name | host_club | start_date | end_date | location_city | location_state |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Club Directories objects from tica.org. All fields typed and schema-versioned.
"club_name": "Northwest Feline Fanciers", "region": "Northwest", "president_name": "John Smith", "contact_email": "info@nwff.example.com", "active_status": true, "region_code": "NW", "charter_date": "1992-04-15"
| # | club_name | region | charter_date | president_name | contact_email | website |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Regional Standings objects from tica.org. All fields typed and schema-versioned.
"season_year": "2025-2026", "region": "Mid Atlantic", "category": "Kitten", "rank": 1, "cat_name": "RW SGC Midnight Shadow", "breed": "Maine Coon", "total_points": 4520, "titles_earned": "['RW', 'SGC']"
| # | season_year | region | category | rank | cat_name | breed |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our TICA scraper extracts registry data, breeder directories, and event calendars with full pagination handling, PDF parsing, and geographical normalisation built in.
Parse text and PDF documents to extract physical traits, point allocations, and historical origins for all recognised breeds.
Extract cattery names, contact details, locations, and supported breeds across all paginated directory views.
Capture event dates, host clubs, venues, and judging rosters. Monitor for cancellations or schedule changes.
Scrape regional and international winner standings, accumulating points, and earned titles across all competitive categories.
Extract chartered club details, regional affiliations, and officer contact information for outreach and logistics planning.
Filter and normalise data across TICA global regions including Europe, Asia, South America, and North America.
Convert official TICA PDF publications into structured JSON records for breed standards and show rules.
Run pipelines daily or weekly to capture new cattery registrations and show calendar additions.
Standardise city, state, and country fields for catteries and show venues to enable mapping and density analysis.
Brief in. Clean data out.
Provide target regions, breed lists, or date ranges. We design the extraction schema together.
We configure Scrapy crawlers, PDF parsers, and pagination handling for tica.org.
Schema validation, null-rate checks, and geospatial normalisation verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting data from legacy association sites requires specific parsing strategies. Here is how we ensure reliable data delivery.
Many TICA breed standards and show rules are published exclusively as PDF files. We deploy OCR and layout-aware PDF parsers to convert these static documents into structured JSON objects, capturing point allocations and trait descriptions accurately.
Breeder and show locations are often entered as free-text strings. Our pipeline applies geocoding and text normalisation to standardise city, state, and country fields, ensuring your database can query by region without data cleaning.
Show dates, venues, and judging rosters change frequently. We maintain a hash index of calendar entries. Subsequent runs only push diffs, alerting you to cancelled events or judge substitutions immediately.
The breeder directory spans hundreds of paginated views. We utilise stateful crawlers to traverse every page, ensuring no cattery profile is missed during the extraction process.
Association websites often feature inconsistent HTML structures. We employ multi-layer fallback chains using XPath and text-pattern matching to guarantee data extraction even when the underlying layout shifts.
Analysts track breeder density and breed popularity trends across regions to forecast demand for specific pet products.
Pet food brands and accessory vendors use show calendars to plan booth presence and target regional feline events.
Specialist veterinary clinics extract breeder directories to offer targeted genetic testing and reproductive services.
Researchers compile breed standards and standings to study phenotypic trends and competitive traits over time.
Marketing teams identify active catteries for direct outreach, offering wholesale accounts and breeder incentive programs.
Clubs monitor regional standings and membership growth to benchmark their performance against other global regions.
"TICA holds the definitive global registry of pedigreed cats and breeders, but compiling this fragmented directory data requires a dedicated pipeline."
Extracting data from TICA involves navigating legacy association directories, parsing PDF breed standards, and tracking dynamic show calendars across global regions. DataFlirt manages the extraction, normalisation, and delivery so your team can focus on downstream analytics rather than maintaining brittle scrapers.
Everything supported by our tica.org 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 interaction flows for complex directory filters.
Dedicated microservices process PDF files using layout-aware extraction algorithms to convert static breed standards into queryable text.
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 tica.org scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available directory and show information is generally permissible. DataFlirt targets only public, non-authenticated data such as breeder directories and show calendars. We do not extract private TFMS member data or violate GDPR. Clients should review TICA terms and consult legal counsel for specific use cases.
Yes. Our pipeline includes document parsing modules that convert TICA PDF publications into structured JSON records, capturing trait descriptions and point allocations accurately.
We typically run calendar extraction pipelines daily or weekly depending on your requirements, ensuring you receive updates on new events, cancellations, or judge substitutions promptly.
No. We do not circumvent authentication walls to access private TFMS (TICA Feline Management System) data such as individual pedigree certificates or ownership transfer records.
Yes. We apply geocoding and text normalisation to standardise city, state, and country fields, making the data immediately usable for mapping and density analysis.
Absolutely. We provide a sample run of up to 100 breeder profiles or 20 show calendar events as part of the pre-engagement scoping process so you can validate schema fit.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off breeder directory dump or a continuous show calendar feed, we scope, build, and operate the pipeline. Tell us what you need.
