We extract destination guides, accommodation listings, tour operator details, and event schedules from southafrica.net. 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 Destinations objects from southafrica.net. All fields typed and schema-versioned.
"id": "dest_8492", "name": "Kruger National Park", "type": "National Park", "province": "Mpumalanga", "best_time_to_visit": "May to September", "url": "https://www.southafrica.net/gl/en/travel/article/kruger-national-park"
| # | id | name | type | province | city | description |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Accommodations objects from southafrica.net. All fields typed and schema-versioned.
"id": "acc_1104", "name": "Sabi Sabi Earth Lodge", "category": "Lodge", "star_rating": 5, "city": "Sabi Sand Game Reserve", "phone": "+27 11 447 7172", "website": "https://www.sabisabi.com"
| # | id | name | category | star_rating | province | city |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Tour Operators objects from southafrica.net. All fields typed and schema-versioned.
"id": "op_3921", "name": "Cape Town Day Tours", "specialties": "['Wine Tasting', 'Cultural Tours']", "languages_spoken": "['English', 'Afrikaans', 'German']", "phone": "+27 21 418 0907", "email": "info@capetowndaytours.co.za", "website": "https://www.capetowndaytours.co.za"
| # | id | name | registration_number | specialties | languages_spoken | regions_covered |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Events objects from southafrica.net. All fields typed and schema-versioned.
"id": "evt_992", "name": "Cape Town International Jazz Festival", "start_date": "2026-03-27", "end_date": "2026-03-28", "venue": "Cape Town International Convention Centre", "city": "Cape Town", "category": "Music & Festivals"
| # | id | name | start_date | end_date | venue | province |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Experiences objects from southafrica.net. All fields typed and schema-versioned.
"id": "exp_441", "title": "Shark Cage Diving in Gansbaai", "category": "Adventure", "duration": "Half Day", "family_friendly": false, "location": "Gansbaai, Western Cape", "provider_name": "Marine Dynamics"
| # | id | title | category | duration | physical_rating | family_friendly |
|---|---|---|---|---|---|---|
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Our scraper handles every layer of the southafrica.net platform: destinations, accommodations, operators, and events, with full map interactions and anti-bot circumvention built in.
Extract province, city, and attraction hierarchies with descriptions, highlights, and best times to visit.
Capture hotels, lodges, and B&Bs with contact info, star ratings, and listed amenities.
Extract specialties, languages spoken, regions covered, and direct contact details for registered operators.
Monitor event dates, venues, organizers, and ticketing links across all nine provinces.
Segment activities by adventure, culture, wildlife, and family-friendly tags.
Extract latitude and longitude pairs from embedded map widgets for spatial analysis.
Capture high-resolution image URLs and gallery metadata associated with listings.
Extract day-by-day travel plans, routed coordinates, and suggested point-of-interest stops.
Run one-off bulk exports or configure continuous pipelines at weekly or monthly cadences.
Brief in. Clean data out.
Provide target provinces, categories, or specific URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for southafrica.net.
Schema validation, null-rate checks, and geo-coordinate verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Tourism portals mix editorial content with dynamic directories. Here is how we extract structured data reliably.
Southafrica.net employs rate limiting and WAF rules. Our crawlers use residential ISP proxies with realistic browser fingerprints and randomised request timing to prevent IP bans.
Interactive maps, image galleries, and filterable directories rely on client-side rendering. We run Playwright browser sessions to capture data that headless HTTP clients miss entirely.
Government portals update layouts unpredictably. Our selector strategy uses multiple fallback chains per field to ensure structural changes do not break your data feed.
Location data is often embedded in map widgets or unstructured text. We extract, clean, and normalise latitude and longitude pairs into standard formats.
For large operator directories, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing downstream processing load.
Online travel agencies ingest destination and accommodation data to enrich their own booking platforms and travel guides.
Hospitality investors analyze accommodation density and regional tourism focus to identify underserved markets.
Travel tech startups use structured experience and point-of-interest data to power automated trip generation engines.
MICE organizers track regional event schedules to avoid scheduling conflicts and plan corporate retreats.
Hospitality service providers extract tour operator and accommodation contact details for targeted outreach campaigns.
Researchers monitor official tourism promotion strategies and regional focus areas over time.
"Southafrica.net holds the definitive directory of the nation's tourism infrastructure, but extracting it requires navigating dynamic maps and deeply nested regional hierarchies."
Tourism portals often combine unstructured editorial content with structured directory data. Building a reliable pipeline requires rendering interactive maps, parsing inconsistent address formats, and managing rate limits. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our southafrica.net 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, map interactions, and dynamic directories.
We maintain pools of residential ISP proxies. Rotation happens per-request to bypass rate limits and WAF protections.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. State stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About southafrica.net scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible. DataFlirt targets only public, non-authenticated directory data. We do not extract personal user data or circumvent authentication walls.
We use Playwright to execute client-side JavaScript, allowing us to interact with map widgets and extract the underlying location data and coordinates.
Yes, we extract all contact details that are publicly listed on operator and accommodation profiles.
Monthly or weekly refreshes are typical for tourism directories, though we can configure the cadence to match your specific requirements.
Yes, we extract and normalise the province and city hierarchies provided by the platform.
Our packages start at defined category lists with weekly or monthly delivery. Contact us with your specific data needs for a scoped quote.
Absolutely. We provide a sample run of up to 500 records to validate schema fit and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off directory dump or a continuous feed of new tour operators and events, we scope, build, and operate the pipeline. Tell us what you need.
