We extract official tourism listings, registered accommodations, certified guides, and event calendars from srilanka.travel. 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 Accommodations objects from srilanka.travel. All fields typed and schema-versioned.
"property_id": "SLTDA-HTL-1042", "name": "Cinnamon Grand Colombo", "type": "Five Star Hotel", "grade": "5 Star", "district": "Colombo", "phone": "+94 11 243 7437", "coordinates": "6.9184, 79.8498"
| # | property_id | name | type | grade | address | district |
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Complete list of extractable fields for Certified Guides objects from srilanka.travel. All fields typed and schema-versioned.
"guide_id": "G-4921", "name": "Kamal Perera", "license_number": "NTG/2021/492", "category": "National Tour Guide", "languages_spoken": "['English', 'German']", "region_expertise": "All Island", "status": "Active"
| # | guide_id | name | license_number | category | languages_spoken | contact_number |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Destinations objects from srilanka.travel. All fields typed and schema-versioned.
"destination_id": "DEST-042", "name": "Sigiriya Rock Fortress", "category": "Heritage", "region": "Central Province", "best_time_to_visit": "January to April", "distance_from_cmb": "175 km", "entry_fee_usd": 30.0
| # | destination_id | name | category | region | description | best_time_to_visit |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Events & Festivals objects from srilanka.travel. All fields typed and schema-versioned.
"event_id": "EVT-2026-08", "name": "Kandy Esala Perahera", "category": "Cultural Festival", "start_date": "2026-08-10", "end_date": "2026-08-20", "location": "Kandy", "organizer": "Sri Dalada Maligawa"
| # | event_id | name | category | start_date | end_date | location |
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Complete list of extractable fields for Tour Operators objects from srilanka.travel. All fields typed and schema-versioned.
"operator_id": "TO-819", "agency_name": "Ceylon Travel Dreams", "license_number": "SLTDA/SQA/TA/0819", "contact_person": "Ruwan Silva", "phone": "+94 77 123 4567", "registration_status": "Valid", "website": "ceylontraveldreams.lk"
| # | operator_id | agency_name | license_number | address | contact_person | phone |
|---|---|---|---|---|---|---|
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Our srilanka.travel scraper handles the inconsistencies of government web portals: parsing legacy HTML tables, extracting data from embedded PDFs, and normalising regional taxonomy into clean warehouse records.
Scrape registered hotels, homestays, and resorts with official SLTDA grading and contact metadata.
Extract guide databases including license numbers, spoken languages, and expiry dates.
Capture heritage sites, beaches, and wildlife reserves with geographic coordinates and entry requirements.
Track cultural festivals, sports events, and exhibitions with precise dates and locations.
Monitor official government advisories, visa requirements, and entry protocols.
Extract registered travel agencies and destination management companies.
Parse official suggested routes, transit times, and recommended durations.
Map data across all 9 provinces and 25 districts of Sri Lanka using standard geospatial taxonomy.
Run weekly or monthly pipelines to capture new registrations and flag expired licenses.
Brief in. Clean data out.
Provide target categories, regional filters, or specific directories. We design the extraction schema together.
We configure Scrapy crawlers, PDF parsing modules, and proxy rotation for srilanka.travel.
Schema validation, null-rate checks, and geospatial coordinate verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Government websites present unique extraction challenges. Here is how we maintain data integrity against erratic DOM structures.
Government sites often feature irregular HTML tables and nested legacy markup. Our selector strategy uses multiple fallback chains so a minor layout update does not break the pipeline.
Many official circulars and registered entity lists are embedded as PDFs. We run OCR and tabular data extraction pipelines to convert static documents into queryable JSON.
While not as aggressive as eCommerce platforms, government servers employ strict rate limiting. We use residential proxy rotation and controlled concurrency to maintain access.
We maintain a hash index of last-seen values per entity. Subsequent runs only push diffs, tracking newly registered guides and expired hotel licenses efficiently.
We monitor for uptime drops or server timeouts on the source domain. Pipelines automatically pause and retry during scheduled maintenance windows.
OTAs sync official SLTDA accommodation grades with their inventory to verify property standards.
Analysts measure tourism infrastructure density across different Sri Lankan provinces to identify investment gaps.
Destination management companies verify tour operator and guide licenses against the official registry.
Travel blogs and mobile applications ingest official destination descriptions and cultural event calendars.
Revenue managers correlate festival dates and event schedules with regional hotel booking velocity.
Travel agencies monitor newly registered operators and emerging destination promotions.
"Srilanka.travel holds the definitive registry of certified tourism infrastructure - but accessing it programmatically requires navigating legacy government web architecture."
Extracting data from official tourism boards involves handling inconsistent table structures, embedded PDFs, and unpredictable server uptime. DataFlirt normalises this erratic source data into clean, typed schemas so your engineering team receives reliable warehouse records, not HTML soup.
Everything supported by our srilanka.travel 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. Custom Python modules process embedded PDFs and legacy HTML tables into normalised schemas.
We route requests through proxy pools with controlled concurrency to respect government server rate limits and avoid connection drops.
Pipelines run on AWS ECS. 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 srilanka.travel scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available directories from government tourism boards is generally permissible for public data. DataFlirt targets only public, non-authenticated registry and destination data. We do not extract personal data beyond public contact info for registered businesses.
Many official lists are published as PDFs. We utilise automated OCR and tabular extraction libraries in Python to parse these documents and convert the data into structured JSON or CSV formats.
We typically configure pipelines to run weekly or monthly, aligning with the update frequency of official government registries. Real-time streaming is not necessary for static directory data.
Yes. By maintaining a stateful database of all extracted entities, our change detection system flags when a tour guide or accommodation license status changes from active to expired.
Our smallest packages start at a defined set of directories (e.g., all registered accommodations) with monthly delivery. Contact us with your specific data requirements for a scoped quote.
Absolutely. We provide a sample run of up to 100 directory listings as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a complete dump of registered accommodations or an ongoing feed of certified guides - we scope, build, and operate the pipeline. Tell us what you need.
