Rating 4.7
Rating 4.7
Rating 4.5
Rating 4.7
Rating 4.7
Disclaimer : Real Data API only extracts publicly available data while maintaining a strict policy against collecting any personal or identity-related information.
Unlock powerful travel intelligence with the Decolar Scraper, designed to extract valuable insights from one of Latin America’s leading travel platforms. By leveraging advanced tools to Scrape Decolar flight, hotel, and holiday data, businesses can monitor pricing trends, availability, and customer preferences in real time. The Decolar Data Scraping API enables seamless and automated data collection, delivering structured datasets for analysis and decision-making. Travel companies, aggregators, and analysts can use this data to optimize pricing strategies, track competitor offerings, and enhance customer experiences. Real Data API ensures scalable, accurate, and efficient solutions for extracting high-quality travel data from Decolar.
A Decolar data scraper is a tool designed to automatically collect structured travel information such as flight schedules, hotel listings, pricing, and availability from the Decolar platform. Using Decolar API data scraping, businesses can retrieve real-time data efficiently without manual intervention. The scraper works by sending requests to web pages or APIs, extracting relevant fields, and converting them into structured formats like JSON or CSV. Advanced scraping tools also use automation, proxies, and parsing techniques to ensure accuracy and scalability. This enables travel companies to gain valuable insights for analysis and decision-making.
Extracting data from Decolar helps businesses gain a competitive edge in the travel industry by understanding pricing trends, customer preferences, and market demand. With a Decolar travel data scraper, companies can track flight fares, hotel availability, and seasonal trends across multiple destinations. This data enables better pricing strategies, improved service offerings, and enhanced customer experiences. Travel agencies and aggregators can compare deals and identify opportunities for growth. Access to real-time insights ensures businesses stay ahead of competitors while optimizing operations and maximizing revenue in a fast-changing travel market.
The legality of extracting data from Decolar depends on adherence to the platform’s terms of service and applicable data protection laws. When performing Decolar pricing data scraping, it is important to follow ethical practices such as respecting website policies, avoiding excessive requests, and ensuring responsible data usage. Many businesses prefer using official APIs or authorized solutions to remain compliant. Using extracted data for internal analytics and market research is generally safer than redistribution. Consulting legal experts and following best practices helps ensure that data extraction is conducted in a secure and compliant manner.
Data extraction from Decolar can be achieved using automated tools, APIs, or custom-built scraping solutions. A reliable approach is using a Decolar travel booking data extractor, which automates the collection of flight, hotel, and package information. These tools handle navigation, data parsing, and formatting into structured outputs. Advanced solutions include proxy rotation and anti-blocking techniques to ensure uninterrupted scraping. Businesses can schedule data extraction for real-time updates, enabling them to monitor pricing, availability, and trends efficiently while reducing manual effort and improving operational productivity.
There are several alternatives available for extracting travel data beyond Decolar, offering broader market coverage and flexibility. With Decolar hotel and flight data extraction, businesses can also explore other platforms that provide similar travel insights. These alternatives often include customizable APIs, scalable infrastructure, and integration with analytics tools. By combining data from multiple sources, companies can gain a comprehensive view of global travel trends, pricing strategies, and customer behavior. This approach enhances competitive analysis and supports smarter decision-making in the travel and hospitality industry.
Businesses can streamline travel data collection by leveraging flexible input options tailored to their needs. With a Real-time Decolar travel data API, companies can access up-to-date information on flights, hotels, and holiday packages, ensuring accurate and timely insights. Additionally, tools that Extract Decolar listings and availability data allow businesses to gather detailed information such as pricing, room availability, schedules, and promotional offers. These input options support automated workflows, enabling travel agencies, aggregators, and analysts to build structured datasets for market research, competitive analysis, and dynamic pricing strategies, ultimately improving decision-making and operational efficiency.
{
"source": "Decolar",
"scrape_date": "2026-03-18",
"currency": "USD",
"flights": [
{
"airline": "LATAM Airlines",
"departure_city": "São Paulo",
"arrival_city": "Buenos Aires",
"departure_time": "09:45",
"arrival_time": "12:30",
"duration": "2h 45m",
"price": 210,
"availability": "Available"
},
{
"airline": "Avianca",
"departure_city": "Bogotá",
"arrival_city": "Miami",
"departure_time": "14:20",
"arrival_time": "18:10",
"duration": "3h 50m",
"price": 350,
"availability": "Limited Seats"
}
],
"hotels": [
{
"hotel_name": "Hotel Unique São Paulo",
"location": "São Paulo",
"rating": 4.7,
"price_per_night": 180,
"room_type": "Luxury Suite",
"availability": "Available"
},
{
"hotel_name": "Alvear Palace Hotel",
"location": "Buenos Aires",
"rating": 5.0,
"price_per_night": 320,
"room_type": "Executive Room",
"availability": "Few Rooms Left"
}
],
"holiday_packages": [
{
"destination": "Cancun",
"duration": "6 Days / 5 Nights",
"package_price": 1400,
"inclusions": ["Flight", "Hotel", "Transfers"],
"availability": "Available"
}
]
}
Integrating Decolar scraping solutions with existing business systems enables seamless data utilization and advanced analytics. By using a Decolar catalog scraper for travel market insights, companies can connect extracted data with CRM platforms, pricing engines, and business intelligence tools to monitor travel trends and competitor strategies. This integration allows automated data flow, reducing manual effort and improving accuracy. Additionally, organizing the extracted information into a structured Travel Dataset helps businesses perform in-depth analysis, forecast demand, and optimize pricing strategies. These integrations empower travel companies to enhance decision-making, improve operational efficiency, and maintain a competitive edge in the evolving travel industry.
Businesses can efficiently gather travel intelligence by executing data extraction with the Decolar Scraper powered by advanced automation. This solution enables companies to Scrape Decolar flight, hotel, and holiday data in a structured and scalable manner. By configuring API endpoints, selecting key data fields, and scheduling automated workflows, users can collect real-time insights on pricing, availability, and travel trends. The process ensures high accuracy, minimal manual effort, and seamless integration with analytics tools. With Real Data API, travel companies can optimize pricing strategies, monitor competitors, and enhance customer experiences through reliable and continuous data extraction.
You should have a Real Data API account to execute the program examples.
Replace
in the program using the token of your actor. Read
about the live APIs with Real Data API docs for more explanation.
import { RealdataAPIClient } from 'RealDataAPI-client';
// Initialize the RealdataAPIClient with API token
const client = new RealdataAPIClient({
token: '' ,
});
// Prepare actor input
const input = {
"categoryOrProductUrls": [
{
"url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
}
],
"maxItems": 100,
"proxyConfiguration": {
"useRealDataAPIProxy": true
}
};
(async () => {
// Run the actor and wait for it to finish
const run = await client.actor("junglee/amazon-crawler").call(input);
// Fetch and print actor results from the run's dataset (if any)
console.log('Results from dataset');
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
})();
from realdataapi_client import RealdataAPIClient
# Initialize the RealdataAPIClient with your API token
client = RealdataAPIClient("" )
# Prepare the actor input
run_input = {
"categoryOrProductUrls": [{ "url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5" }],
"maxItems": 100,
"proxyConfiguration": { "useRealDataAPIProxy": True },
}
# Run the actor and wait for it to finish
run = client.actor("junglee/amazon-crawler").call(run_input=run_input)
# Fetch and print actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# Set API token
API_TOKEN=<YOUR_API_TOKEN>
# Prepare actor input
cat > input.json <<'EOF'
{
"categoryOrProductUrls": [
{
"url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
}
],
"maxItems": 100,
"proxyConfiguration": {
"useRealDataAPIProxy": true
}
}
EOF
# Run the actor
curl "https://api.realdataapi.com/v2/acts/junglee~amazon-crawler/runs?token=$API_TOKEN" \
-X POST \
-d @input.json \
-H 'Content-Type: application/json'
productUrls
Required Array
Put one or more URLs of products from Amazon you wish to extract.
Max reviews
Optional Integer
Put the maximum count of reviews to scrape. If you want to scrape all reviews, keep them blank.
linkSelector
Optional String
A CSS selector saying which links on the page (< a> elements with href attribute) shall be followed and added to the request queue. To filter the links added to the queue, use the Pseudo-URLs and/or Glob patterns setting. If Link selector is empty, the page links are ignored. For details, see Link selector in README.
includeGdprSensitive
Optional Array
Personal information like name, ID, or profile pic that GDPR of European countries and other worldwide regulations protect. You must not extract personal information without legal reason.
sort
Optional String
Choose the criteria to scrape reviews. Here, use the default HELPFUL of Amazon.
RECENT,HELPFUL
proxyConfiguration
Required Object
You can fix proxy groups from certain countries. Amazon displays products to deliver to your location based on your proxy. No need to worry if you find globally shipped products sufficient.
extendedOutputFunction
Optional String
Enter the function that receives the JQuery handle as the argument and reflects the customized scraped data. You'll get this merged data as a default result.
{
"categoryOrProductUrls": [
{
"url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
}
],
"maxItems": 100,
"detailedInformation": false,
"useCaptchaSolver": false,
"proxyConfiguration": {
"useRealDataAPIProxy": true
}
}