We extract private tour catalogues, host intelligence, pricing tiers, and review corpora from Withlocals. 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 Details objects from withlocals.com. All fields typed and schema-versioned.
"tour_id": "T-98421", "title": "Hidden Gems of Rome Private Tour", "destination_city": "Rome", "duration_minutes": 180, "base_price": 145.5, "currency": "EUR", "group_size_max": 8, "meeting_point": "Piazza Navona"
| # | tour_id | title | destination_city | category | duration_minutes | base_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Host Profiles objects from withlocals.com. All fields typed and schema-versioned.
"host_id": "H-44129", "name": "Marco Rossi", "tagline": "History buff and local foodie", "languages": "['English', 'Italian', 'Spanish']", "rating": 4.9, "review_count": 342, "response_rate": 98.5, "active_tours": 4
| # | host_id | name | profile_url | tagline | languages | rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Options objects from withlocals.com. All fields typed and schema-versioned.
"tour_id": "T-98421", "base_price": 145.5, "currency": "EUR", "per_person_rate": 45.0, "group_discount_pct": 10, "child_discount_pct": 50, "cancellation_policy": "Flexible", "instant_confirmation": true
| # | tour_id | base_price | currency | per_person_rate | group_discount_pct | child_discount_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews objects from withlocals.com. All fields typed and schema-versioned.
"review_id": "R-882194", "tour_id": "T-98421", "host_id": "H-44129", "rating": 5.0, "review_text": "Marco showed us parts of Rome we never would have found.", "review_date": "2023-10-14", "guest_country": "United States", "host_reply": "Thank you! It was a pleasure hosting you."
| # | review_id | tour_id | host_id | guest_name | rating | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Destinations objects from withlocals.com. All fields typed and schema-versioned.
"destination_id": "D-004", "city": "Rome", "country": "Italy", "region": "Europe", "tour_count": 412, "host_count": 184, "average_price": 120.0, "top_rated_tour_id": "T-98421"
| # | destination_id | city | country | region | tour_count | host_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Withlocals scraper handles complex tour itineraries, host schedules, dynamic group pricing, and multi language reviews. We manage the extraction infrastructure so you receive clean tabular data.
Extract step by step itineraries, meeting points, inclusions, and exclusions for every listed tour.
Capture host names, languages spoken, response rates, and historical review aggregates.
Extract base prices, per person rates, group discounts, and child pricing variations across currencies.
Paginate through all tour and host reviews to capture text, ratings, dates, and host responses.
Monitor calendar availability and blockout dates for specific tours and hosts.
Normalise tour categories like Food, History, or Nightlife for accurate database mapping.
Compile total tour counts, active hosts, and average pricing metrics per city.
Capture high resolution image URLs for tour galleries and host profile pictures.
Run daily or weekly diffs to capture new tours, price changes, and recent reviews.
Brief in. Clean data out.
Provide destination lists, category URLs, or host IDs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for withlocals.com.
Schema validation, null-rate checks, price-outlier detection, and sample reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Travel platforms use dynamic rendering and rate limiting to protect their inventory. Our infrastructure handles these challenges natively.
Tour availability and pricing often require calendar interaction. We use Playwright to execute JavaScript, select dates, and extract the resulting price variations.
Standard category pages limit visible results. We utilise internal API endpoints and specific search parameters to bypass UI pagination limits and extract the full catalogue.
Withlocals monitors request frequency from single IP addresses. We distribute requests across a pool of residential proxies to maintain high throughput without triggering blocks.
Platform updates frequently alter page structures. We implement multiple fallback selectors for critical fields like pricing and inclusions to ensure data continuity.
We parse raw strings into structured data types, converting localised date formats and standardising currency codes for immediate database insertion.
Travel platforms integrate local tour inventory to expand their destination offerings.
Tour operators monitor competitor pricing, group discounts, and seasonal variations to optimise their own rates.
Competing platforms identify highly rated, multi lingual local guides for targeted recruitment.
Travel startups analyse destination density and category gaps to launch services in underserved cities.
Hospitality brands analyse review corpora to identify trending local experiences and guest preferences.
Travel blogs and guidebooks use structured itinerary data to generate accurate destination guides.
"Withlocals holds the definitive dataset for private, host-led tourism experiences, but extracting this unstructured data requires dedicated pipeline architecture."
Travel aggregators underestimate the complexity of scraping dynamic booking platforms. Extracting accurate pricing tiers based on group sizes, parsing multi language host profiles, and mapping geo coordinates requires continuous selector maintenance and residential proxy rotation. DataFlirt handles the extraction logic so your engineers can focus on product development.
Everything supported by our withlocals.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. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies. Rotation happens per request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 withlocals.com scraping, legality, and pipeline operations.
Ask us directly →Yes. Our scrapers execute the necessary JavaScript to simulate different group sizes and extract the corresponding per person rates and total prices.
We capture the raw text of the profile and identify the listed spoken languages, normalising them into an array for easy database querying.
We extract publicly visible profile information. We do not extract private email addresses or phone numbers hidden behind authentication walls.
We support daily, weekly, or monthly runs. For specific high priority destinations, we can configure sub daily monitoring for price and availability changes.
Yes. We paginate through the entire review history for both tours and individual hosts, capturing ratings, dates, and text.
We extract the listed meeting points and general destination data. Precise geo coordinates are captured if exposed in the page source or map widgets.
20-minute scoping call. Pilot dataset within the week. Production within two. Specify your target destinations or categories. We configure the infrastructure and deliver structured tour data directly to your systems.
