We extract tour listings, availability calendars, pricing variants, and review corpora from Civitatis. 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 Tour Listings objects from civitatis.com. All fields typed and schema-versioned.
"tour_id": "89412", "title": "Guided Tour of the Colosseum and Roman Forum", "destination": "Rome", "duration": "3 hours", "base_price": 45.0, "currency": "EUR", "rating": 9.4, "review_count": 14280, "mobile_voucher": true
| # | tour_id | url | title | destination | category | duration |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Availability objects from civitatis.com. All fields typed and schema-versioned.
"tour_id": "89412", "date": "2026-05-14", "time_slot": "10:30", "ticket_type": "Adult", "price": 45.0, "currency": "EUR", "availability_status": "AVAILABLE", "remaining_capacity": 12, "cutoff_time_hours": 24
| # | tour_id | date | time_slot | ticket_type | price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Itinerary & Details objects from civitatis.com. All fields typed and schema-versioned.
"tour_id": "89412", "meeting_point_name": "Arch of Constantine", "meeting_point_address": "Via di San Gregorio, 00186 Roma RM", "latitude": 41.8899, "longitude": 12.4905, "included_items": "['Skip-the-line entrance', 'English-speaking guide', 'Headsets']", "excluded_items": "['Hotel pickup', 'Food and drinks']"
| # | tour_id | description | highlights | included_items | excluded_items | meeting_point_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from civitatis.com. All fields typed and schema-versioned.
"review_id": "REV-992144", "tour_id": "89412", "traveler_type": "Couples", "rating": 10.0, "review_text": "Excellent guide, very knowledgeable about Roman history.", "review_date": "2026-04-12", "language": "EN", "helpful_votes": 4
| # | review_id | tour_id | traveler_name | traveler_type | rating | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Destinations objects from civitatis.com. All fields typed and schema-versioned.
"destination_id": "DST-44", "destination_name": "Rome", "country": "Italy", "region": "Lazio", "total_tours": 342, "currency_default": "EUR", "top_categories": "['Guided Tours', 'Day Trips', 'Transfers']"
| # | destination_id | destination_name | country | region | total_tours | top_categories |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Civitatis scraper handles every layer of the platform: tour itineraries, dynamic availability calendars, pricing variants, and the review corpus, with JavaScript rendering, session management, and anti-bot circumvention built in.
Title, description, duration, inclusions, exclusions, and meeting points extracted across all destination pages.
Parse complex JavaScript date pickers to extract real-time availability, time slots, and remaining capacity per ticket type.
Extract ES, EN, FR, IT, and PT variants of the same tour to build comprehensive multi-lingual datasets.
Full review text, granular ratings, traveler types, and language attribution paginated across all tour reviews.
Capture precise latitude and longitude coordinates, address strings, and textual instructions for meeting locations.
Monitor booking volumes, availability, and suggested tip data for Civitatis' signature Free Tour category.
Extract complex pricing matrices for airport-to-city transfers based on vehicle type and passenger count.
Extract refund windows, cutoff times, and penalty conditions for every bookable activity.
Run continuous pipelines to track how quickly specific dates and time slots sell out over time.
Brief in. Clean data out.
Provide destination URLs, tour categories, or specific activity IDs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for civitatis.com.
Schema validation, null-rate checks, price-outlier detection, and sample availability runs before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Civitatis relies heavily on dynamic frontend rendering for pricing and availability. Here is how we stay resilient, and why teams choose managed infrastructure over DIY.
Travel OTAs heavily monitor IP velocity. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management, trained on real user behaviour patterns.
Civitatis availability calendars and price matrices are heavily JavaScript-rendered. We run full Playwright browser sessions with JavaScript execution to interact with date pickers and hydrate dynamic pricing widgets.
Civitatis alters pricing and content based on geo-IP and headers. We enforce strict session state, header spoofing, and cookie injection to ensure your dataset maintains a normalised currency and language baseline.
For large destination catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, false zero-availability signals, and coverage drops, responding before you notice.
Online travel agencies monitor Civitatis pricing, cancellation policies, and inclusion details to ensure price parity and competitive positioning.
Local operators track competing products in their destination to optimise their own itineraries, pricing tiers, and language offerings.
Revenue managers forecast demand by tracking how quickly specific time slots and dates deplete in the Civitatis availability calendar.
Travel startups analyse destination density, tour category saturation, and average review scores to identify underserved markets.
Hospitality brands run NLP models against the Civitatis review corpus to extract traveler preferences and common pain points by nationality.
Meta-search engines ingest structured tour metadata and pricing to populate their own comparison indexes.
"Civitatis holds the definitive catalogue of global tours, but querying their real-time availability calendar requires infrastructure, not just a script."
Most teams underestimate the investment required: reliable Civitatis scraping requires handling complex JavaScript date pickers, localised currency sessions, residential proxies, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our civitatis.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows for calendar widgets.
We maintain pools of residential ISP proxies across EU regions. Rotation happens per-request with sticky sessions where required to maintain currency and language state.
Pipelines run on AWS Lambda and 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 civitatis.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Civitatis is generally permissible under applicable law, reinforced by the hiQ v. LinkedIn ruling. DataFlirt targets only public, non-authenticated tour, pricing, and review data. We do not extract personal data or circumvent authentication walls. Clients should review Civitatis ToS and consult legal counsel for specific use cases.
We use Playwright to execute the JavaScript required to render the calendar widgets. Our crawlers iterate through future months, selecting dates to expose the underlying time slots, ticket types, and remaining capacity.
Yes. We manage session headers and cookies to force specific locales, allowing us to extract the same tour listing in Spanish, English, French, Italian, and Portuguese concurrently.
For targeted tour lists, we can run pipelines at hourly cadences to capture intra-day availability shifts. Full destination catalogues typically refresh on a daily 24-hour cycle.
Yes. We extract Free Tour listings including meeting points, duration, languages, and suggested tip amounts, treating them as a specific schema variant within the pipeline.
Absolutely. We provide a sample run of up to 500 tours or 5 destinations as part of the pre-engagement scoping process, allowing you to validate schema fit and data quality before signing a contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off destination catalogue dump or a continuous availability feed across 80,000 tours, we scope, build, and operate the pipeline. Tell us what you need.
