Flight prices, hotel rates, availability, and guest reviews extracted across aggregators and booking platforms.
Flight prices change constantly. A fare available at 9 AM may be gone by 10 AM. A route offered by one airline may be discontinued. Baggage fees vary by carrier and fare class. Without systematic extraction, travel agencies and metasearch platforms cannot offer accurate comparisons. Airlines cannot track competitor pricing on shared routes. We help travel businesses extract flight data from any online source including flight aggregators, airline websites, and metasearch platforms. Our web extraction pipelines capture pricing, route, schedule, and fee data at frequencies as fast as hourly.
Our flight price and route extraction solutions capture route details including origin airport, destination airport, departure date, return date for round trips, and flight duration. We extract airline information including carrier name, flight number, operating airline codeshare partners, and aircraft type where available. We capture pricing data including base fare, taxes, fees, total price, and price per segment. We extract fare class details including economy, premium economy, business, first class, and basic economy restrictions. We also capture add-on fees such as checked baggage fees, carry-on fees, seat selection charges, change fees, cancellation fees, and refundability status. For example, we can extract daily price history for a specific route across multiple airlines to identify the optimal booking window. We can extract baggage fee structures for all airlines flying a specific route to help customers compare total trip cost. We can also track new route announcements and seasonal schedule changes across competitor airlines.
We build custom flight extraction pipelines based on your target routes, origin and destination airports, airlines, date ranges, fare classes, and extraction frequency from hourly to daily. Delivery options include flight price datasets, route comparison reports, baggage fee matrices, price trend charts, and API feeds into your booking engine or price prediction systems. With our extracted data, travel agencies offer competitive flight pricing to customers. Airlines monitor competitor pricing on shared routes in real time. Meta search platforms power accurate comparison features. And corporate travel desks identify the most cost effective booking windows for frequent routes.
Hotel rates vary by season, day of week, booking window, and occupancy level. A room listed at 150 USD tonight may drop to 120 USD tomorrow. Different booking platforms show different rates for the same room at the same time. Without systematic extraction, travel businesses cannot offer competitive pricing or identify rate anomalies. We help travel agencies, hotel chains, and metasearch platforms extract hotel listing and rate data from any online source. Our web extraction pipelines capture property details, room types, pricing structures, and fee breakdowns at daily or sub daily frequencies.
Our hotel listing and rate extraction solutions capture property details including hotel name, chain affiliation, star rating, address, location coordinates, and contact information. We extract room type data including room name, bed type such as king or twin, room size, view type like ocean or city, and occupancy limits. We capture pricing data including nightly base rate, taxes, service fees, resort fees, and total price per stay. We also extract promotional offers such as early booking discounts, non refundable rates, member pricing, last minute deals, and package inclusions like breakfast or parking. For example, we can extract nightly rates for a specific hotel across multiple booking platforms to identify which platform offers the lowest price for each room type. We can extract rate calendars for a whole city for a specific date range to identify peak pricing periods and shoulder season opportunities. We can also extract promotional discounts to see which hotels are running limited time offers and for what room categories.
We build custom hotel extraction pipelines based on your target cities or regions, hotel chains or property lists, room types, date ranges, booking platforms, and extraction frequency from daily to weekly. Delivery options include hotel rate datasets, platform price comparison reports, promotional offer trackers, fee breakdown exports, and API feeds into your booking engine or rate shopping systems. With our extracted data, travel agencies offer competitive hotel rates to customers. Hotel chains monitor rate parity compliance across booking platforms. Meta search platforms power side by side price comparisons. And revenue managers track competitor pricing strategies across seasons and events.
A hotel room is either available or it is not. That binary status changes constantly as bookings are made and cancellations occur. During peak seasons, availability disappears weeks in advance. During slow periods, last minute rooms appear at discounted rates. Knowing when and where rooms are available helps travel businesses direct customers to open inventory and identify underpriced or oversold markets. We help travel businesses extract availability data from any hotel booking platform or direct website. Our web extraction pipelines capture real time availability status, minimum stay rules, and booking window limits at daily or sub daily frequencies.
Our availability and occupancy monitoring solutions extract availability status for each room type including available, limited availability, sold out, or on request. We capture minimum stay requirements such as two night minimum on weekends or three night minimum during holidays. We extract maximum stay limits where applicable. We capture booking window restrictions including how far in advance a room can be booked, such as 30 days or 365 days. We also derive occupancy signals such as percentage of room types sold out, last room indicators, and low availability warnings. For example, we can extract availability for all hotels in a specific city during a major event week to identify which properties still have open inventory. We can monitor minimum stay changes across competitor properties to see when hotels relax or tighten restrictions based on demand. We can also track how far in advance popular properties sell out to recommend optimal booking lead times for customers.
We build custom availability monitoring pipelines based on your target cities or regions, hotel chains or property lists, room types, date ranges, check in windows, and extraction frequency from daily to hourly during peak periods. Delivery options include availability datasets, sold out alerts, minimum stay requirement reports, booking window summaries, and API feeds into your booking engine or inventory monitoring systems. With our extracted data, travel agencies find available rooms for customers during sold out events. Hotel chains monitor competitor occupancy pressure to adjust their own availability rules. Corporate travel desks identify properties with flexible booking windows. And revenue managers detect demand spikes through sudden availability drops.
Guest reviews drive booking decisions. A hotel with a 4.8 rating outranks a hotel with a 4.2 rating even at higher prices. Review text reveals specific strengths like friendly staff or clean rooms and specific weaknesses like noisy neighbors or broken elevators. Property responses show how management handles complaints. Without systematic extraction, travel businesses lack visibility into what guests actually say about competitor properties. We help travel businesses extract guest review data from any hotel booking platform or travel review site. Our web extraction pipelines capture ratings, review text, response threads, and engagement metrics at scale across thousands of properties.
Our guest review and rating extraction solutions capture rating scores including overall star rating, average rating, and individual category ratings such as cleanliness, location, service, value, rooms, and facilities. We extract review text including full written content, review title, positive and negative highlights, and any images uploaded by guests. We capture review metadata including reviewer name or username, reviewer location where shared, review date, stay date, room type stayed, and traveler type such as solo, family, business, or couple. We also extract property responses including response text, response date, and response author such as general manager or owner. We capture helpfulness metrics including helpful votes, funny votes, and number of comments on a review. For example, we can extract all reviews for competitor properties in a specific city to identify which service attributes are most frequently praised or criticized. We can track rating trends over time for a specific hotel to see if service quality is improving or declining. We can also analyze property response patterns to identify hotels that actively engage with negative reviews versus those that ignore them.
We build custom review extraction pipelines based on your target cities or regions, hotel chains or property lists, rating thresholds, date ranges, and extraction frequency from weekly to monthly. Delivery options include review datasets, rating trend reports, sentiment summaries by attribute, property response analysis, and API feeds into your reputation management or competitive intelligence systems. With our extracted data, hotel chains benchmark their ratings against local competitors. Revenue managers correlate rating changes with occupancy shifts. Marketing teams extract authentic guest quotes for campaigns. And travel agencies prioritize properties with verified positive reviews.
Cancellation policies directly influence booking behavior. A flexible policy encourages customers to book earlier. A strict policy pushes customers toward refundable rates at higher prices. Policies vary not only by hotel but also by room type, rate plan, booking channel, and season. Without systematic extraction, travel businesses cannot advise customers on which bookings offer protection or identify competitors using policy as a differentiator. We help travel businesses extract cancellation and refund policy data from any hotel booking platform or direct website. Our web extraction pipelines capture policy rules, deadlines, fee structures, and exceptions across thousands of properties.
Our cancellation and refund policy extraction solutions capture free cancellation windows including how many days before check in a booking can be cancelled without penalty. We extract cancellation deadlines such as specific dates and times like 6 PM local time two days before arrival. We capture penalty structures including percentage of total stay, fixed fee, or first night charge for late cancellation. We extract no show policies including full stay charge, first night charge, or room release time. We capture refund processing timelines and deposit requirements such as prepayment or pay at hotel. We also extract policy variations by room type such as non refundable rates versus flexible rates and seasonal policy changes like stricter cancellation during holidays. For example, we can extract cancellation policies for all hotels in a specific city to identify which properties offer the most flexible terms. We can track policy changes over time to see if hotels are tightening or loosening cancellation windows. We can also compare refundable versus non refundable price differences to calculate the premium for booking flexibility.
We build custom policy extraction pipelines based on your target cities or regions, hotel chains or property lists, room types, rate plans, seasonal periods, and extraction frequency from weekly to monthly. Delivery options include cancellation policy datasets, flexibility comparison reports, penalty fee matrices, refund window summaries, and API feeds into your booking engine or customer advisory systems. With our extracted data, travel agencies advise customers on which bookings offer cancellation protection. Hotel chains monitor competitor policy changes to adjust their own terms. Corporate travel desks enforce preferred cancellation windows for business travelers. And price comparison platforms highlight policy differences alongside rate comparisons.
Amenities sell rooms. A pool matters to families. A gym matters to business travelers. Free breakfast matters to budget conscious guests. Pet friendly policies matter to animal owners. Without structured amenity data, travel businesses cannot match guests to the right properties or benchmark competitor offerings. We help travel businesses extract amenity and feature data from any hotel booking platform or direct website. Our web extraction pipelines capture property level amenities, room level features, service offerings, and facility details at scale across thousands of properties.
Our amenity and property feature extraction solutions capture property level amenities including swimming pool, fitness center, spa, restaurant, bar, business center, parking, electric vehicle charging, and shuttle service. We extract room level features including air conditioning, WiFi, television, minibar, coffee maker, safe, desk, iron, hair dryer, and blackout curtains. We capture accessibility features such as wheelchair access, grab bars, roll in showers, visual alarms, and service animal policies. We extract family and pet amenities including family rooms, cribs, kid meals, pet friendly policies, pet fees, and pet weight limits. We also capture service offerings including housekeeping schedule, room service hours, concierge, luggage storage, laundry, airport pickup, and tour desk. For example, we can extract all pet friendly hotels in a specific city with their pet fees and weight limits to serve pet owners. We can identify which competitor properties offer EV charging stations to target environmentally conscious travelers. We can also compare free breakfast inclusion rates across different price tiers and hotel chains.
We build custom amenity extraction pipelines based on your target cities or regions, hotel chains or property lists, amenity categories, feature types, and extraction frequency from weekly to monthly. Delivery options include amenity datasets, feature comparison reports, pet friendly property lists, accessibility feature summaries, and API feeds into your search filtering or property matching systems. With our extracted data, travel agencies filter properties by guest specific needs like pet friendly or accessible rooms. Hotel chains benchmark their amenity packages against local competitors. Meta search platforms power advanced amenity filtering features. And corporate travel desks identify properties with business specific amenities like meeting rooms and business centers.
Tell us your target platforms and geographies. We'll send a proposal within 24 hours.