We extract trekking itineraries, registered travel agencies, destination guides, and permit requirements from welcomenepal.com. Delivered as clean JSON, CSV, or Parquet to S3 or your warehouse.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Trekking Routes objects from welcomenepal.com. All fields typed and schema-versioned.
"route_id": "TRK-042", "name": "Annapurna Circuit", "region": "Annapurna", "difficulty": "Hard", "max_elevation_meters": 5416, "duration_days": 18, "best_season": "['Autumn', 'Spring']", "permits_required": "['ACAP', 'TIMS']"
| # | route_id | name | region | difficulty | max_elevation_meters | duration_days |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Travel Agencies objects from welcomenepal.com. All fields typed and schema-versioned.
"agency_id": "AGT-8821", "name": "Himalayan Glacier Trekking", "registration_number": "12345/067/68", "address": "Thamel, Kathmandu", "phone": "+977-1-4444444", "email": "info@example.com", "services_offered": "['Trekking', 'Peak Climbing', 'Tours']", "status": "Active"
| # | agency_id | name | registration_number | address | contact_person | phone |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Destinations objects from welcomenepal.com. All fields typed and schema-versioned.
"dest_id": "DST-019", "name": "Pokhara", "category": "City", "region": "Gandaki", "key_attractions": "['Phewa Lake', 'Peace Pagoda', 'Sarangkot']", "best_time_to_visit": "September to November", "coordinates": "28.2096, 83.9856"
| # | dest_id | name | category | region | description | key_attractions |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Accommodations objects from welcomenepal.com. All fields typed and schema-versioned.
"hotel_id": "HTL-402", "name": "Yak & Yeti", "type": "Hotel", "location": "Durbar Marg, Kathmandu", "star_rating": 5, "contact_number": "+977-1-4248999", "facilities": "['WiFi', 'Pool', 'Spa', 'Conference Hall']", "price_category": "Luxury"
| # | hotel_id | name | type | location | star_rating | contact_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Festivals & Events objects from welcomenepal.com. All fields typed and schema-versioned.
"event_id": "FST-005", "name": "Dashain", "date_start": "2024-10-03", "date_end": "2024-10-17", "location": "Nationwide", "description": "The longest and most auspicious festival in the Nepalese annual calendar.", "religious_significance": "Hindu", "visitor_guidelines": "Public transport may be limited during peak festival days."
| # | event_id | name | date_start | date_end | location | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our welcomenepal.com scraper parses legacy DOM structures, dynamic maps, and unstructured text to deliver clean, relational data for travel aggregators and researchers.
Capture daily itinerary steps, elevation profiles, difficulty ratings, and permit requirements for all listed trekking routes.
Extract the complete database of government-approved travel agencies, including registration numbers, contact details, and operational status.
Parse destination guides, key attractions, and transport logistics for regions spanning from the Terai to the high Himalayas.
Scrape hotel and teahouse directories, capturing star ratings, amenities, and direct contact information.
Monitor changes to visa-on-arrival policies, restricted area permits, and national park entry fees.
Track lunar calendar-based festival dates, locations, and cultural significance for tourism planning.
Extract content across available language variants to support international travel platforms.
Capture high-resolution image URLs for destinations and attractions, mapped directly to their parent records.
Parse embedded map data to extract latitude and longitude coordinates for points of interest.
Run continuous pipelines that only push updates when agency statuses change or new travel advisories are published.
Brief in. Clean data out.
Provide target categories, such as the agency registry or specific trekking regions. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, handling legacy HTML variations and pagination logic for welcomenepal.com.
Schema validation, null-rate checks, and data normalisation rules are applied before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Government and tourism board websites often feature inconsistent markup and legacy frameworks. Here is how we ensure data quality.
Sections of welcomenepal.com use legacy content management systems resulting in variable HTML structures. Our selector strategy uses multiple fallback chains and regex-based text extraction to ensure high field coverage regardless of layout anomalies.
Destination coordinates are often buried in embedded map scripts rather than structured metadata. We parse inline JavaScript and map configuration objects to extract precise latitude and longitude values.
Trekking itineraries are frequently published as unstructured text blocks. We use custom parsing logic to split these into structured daily steps, extracting elevation and duration metrics into numeric fields.
Some regulatory guidelines and permit fee structures are only available as embedded PDF documents. We integrate OCR and PDF parsing workflows to convert these into queryable text.
The agency directory relies on stateful pagination. We use Playwright to manage session state and ensure every page of the directory is crawled without skipping records.
Online travel agencies ingest destination guides and attraction data to enrich their own platform content and improve SEO.
Mobile app developers use structured itinerary and elevation data to build offline navigation and planning tools for trekkers.
Consultancies analyse the registry of active travel agencies to map the competitive landscape of Nepal's tourism sector.
Organisations track tourism infrastructure development and cross-reference registered agencies against compliance databases.
GIS professionals extract coordinate data for cultural heritage sites and trekking routes to build specialised spatial datasets.
Travel risk management firms monitor official travel advisories, permit changes, and seasonal weather guidance.
"Welcomenepal.com holds the authoritative registry of Nepal's tourism infrastructure, but extracting it requires navigating legacy web structures and unstructured text."
Tourism data aggregators waste engineering cycles parsing inconsistent HTML and embedded PDFs. DataFlirt standardises destination guides, trekking itineraries, and agency registries into strict, warehouse-ready schemas. We handle the extraction logic so your team can focus on building travel products rather than maintaining brittle web scrapers.
Everything supported by our welcomenepal.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 manages JavaScript execution for embedded maps and stateful directory pagination.
We route requests through distributed proxy pools to ensure high availability and prevent rate-limiting during deep directory crawls.
Pipelines run on AWS infrastructure. Airflow handles scheduling and dependency management, ensuring data is delivered on your required cadence.
Data delivered to where your team already works — no new tooling required.
About welcomenepal.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from government and tourism board websites is generally permissible for non-destructive, public data. DataFlirt extracts only public directory listings, destination guides, and advisories. We do not bypass authentication walls or extract private individual data.
We deploy multiple selector fallback chains. If a primary CSS selector fails due to an outdated template, our system falls back to XPath, regex pattern matching, or adjacent sibling traversal to locate the target data.
Yes. While coordinates are often not present in the clean HTML, we parse the inline JavaScript configuration objects used to render the embedded maps, extracting precise latitude and longitude values.
Yes. We can extract the entire directory of government-approved travel agencies, including their registration numbers, contact details, and operational status, handling the stateful pagination required to traverse the full list.
Pipelines can be configured to run daily, weekly, or monthly depending on your requirements. The agency directory and travel advisories are typically monitored on a daily cadence for changes.
Yes. We use custom parsing logic to convert unstructured text blocks into sequential arrays of daily steps, extracting duration, elevation, and overnight locations into distinct fields.
We provide managed pipelines starting from a single full-site extraction to continuous weekly updates of the agency and destination directories. Contact us with your schema requirements for a precise quote.
20-minute scoping call. Pilot dataset within the week. Production within two. From destination guides to the complete agency registry, we scope, build, and operate the extraction pipeline. Tell us what you need.
