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.
Gain real-time insights from the online grocery market with Oasis Market Grocery Scraper, a powerful solution designed to extract Oasis Market product listings efficiently. By leveraging Oasis Market API scraping, businesses can track product availability, monitor pricing trends, and stay ahead of competitor offerings. The Grocery Data Scraping API ensures structured, accurate, and up-to-date data from Oasis Market, enabling retailers and brands to make informed decisions. With detailed information on product names, categories, prices, and inventory, companies can optimize pricing strategies, enhance assortment planning, and streamline supply chain operations. Whether monitoring seasonal promotions, analyzing customer-preferred items, or integrating Oasis Market data into business intelligence tools, the Oasis Market Grocery Scraper provides a scalable, reliable solution. Empower your business with actionable grocery insights and transform raw data into strategic opportunities with Real Data API.
The Oasis Market delivery data scraper is a specialized tool designed to collect real-time information from Oasis Market’s online platform. By leveraging the Real-time Oasis Market delivery data API, businesses can access structured data covering product listings, pricing, delivery schedules, and promotions. The scraper works by systematically navigating Oasis Market’s catalog, extracting details such as product names, categories, prices, and availability. This enables companies to monitor competitor offerings, detect seasonal trends, and optimize inventory management. Additionally, using an Oasis Market catalog scraper South Korea, businesses can gather data across multiple regions efficiently. Automated scraping saves time and reduces errors compared to manual collection, providing actionable insights for pricing strategies, marketing campaigns, and operational improvements. It empowers retailers and brands to make informed decisions in South Korea’s competitive online grocery market.
Extracting data from Oasis Market allows businesses to make strategic, data-driven decisions. Tools like Oasis Market Kurly product data enable monitoring of prices, product availability, and category-level performance. Similarly, Oasis Market price scraping helps identify pricing patterns, competitor discounts, and seasonal fluctuations, ensuring competitive advantage. By analyzing extracted data, companies can adjust inventory, optimize promotions, and forecast demand accurately. Real-time insights also allow brands to spot high-demand SKUs and understand consumer preferences. Using Oasis Market grocery product data extraction, businesses can track trends across cities, evaluate the success of product launches, and benchmark against competitors. These insights drive smarter assortment planning, effective marketing campaigns, and improved operational efficiency. Data extraction from Oasis Market is an essential practice for retailers aiming to stay ahead in South Korea’s fast-growing online grocery sector.
Extracting data from Oasis Market is legal when performed ethically and in compliance with platform terms. Using tools such as Oasis Market grocery delivery data extractor ensures structured access to publicly available product listings and pricing information without violating privacy regulations. Similarly, leveraging a Real-time Oasis Market delivery data API provides authorized, API-based data collection that aligns with platform policies. Ethical scraping avoids sensitive user data and focuses on aggregate market insights, including product availability, promotions, and category trends. Employing a compliant Oasis Market catalog scraper South Korea guarantees that businesses can gather actionable intelligence responsibly. Legal data extraction protects brands from potential lawsuits, supports sustainable operations, and enables companies to make informed decisions regarding pricing, assortment, and marketing campaigns, while maintaining a competitive edge in the online grocery market.
To extract data from Oasis Market efficiently, businesses can use Oasis Market grocery product data extraction and Oasis Market Kurly product data tools. These solutions allow automated collection of product listings, prices, categories, and delivery information. Oasis Market price scraping can help track real-time changes in pricing, promotions, and discounts, while the Real-time Oasis Market delivery data API provides instant updates for accurate monitoring. Businesses can also use an Oasis Market catalog scraper South Korea to collect city-wise SKU performance and regional trends. Automated scraping eliminates manual effort, reduces errors, and enables timely analytics. Combining these techniques creates a comprehensive dataset that supports competitor benchmarking, inventory planning, demand forecasting, and pricing strategy, ensuring businesses remain competitive in South Korea’s growing online grocery sector.
Businesses looking for alternatives to extract Oasis Market data can explore tools like Oasis Market delivery data scraper and Oasis Market grocery delivery data extractor. These solutions provide structured access to product listings, pricing, and availability information. Using Extract Oasis Market product listings, companies can monitor seasonal trends, promotions, and customer-preferred items. A Oasis Market catalog scraper South Korea allows extraction across multiple regions, enabling city-level analytics and SKU performance tracking. These alternatives support real-time insights into competitive pricing, product assortment, and delivery trends. By leveraging multiple tools, businesses can validate data, ensure accuracy, and maintain a continuous flow of actionable intelligence. These options empower retailers and brands to optimize inventory, plan targeted promotions, and make data-driven decisions in the rapidly expanding South Korean online grocery market.
Input options play a crucial role in optimizing data extraction from grocery platforms like Oasis Market. By configuring input parameters, businesses can specify the scope, frequency, and type of data to collect efficiently. For instance, using Oasis Market grocery product data extraction, input options allow selection of product categories, cities, SKUs, and price ranges to ensure focused and relevant data capture. Similarly, Oasis Market Kurly product data tools enable filtering by promotions, availability, or delivery schedules, saving time and reducing errors. Advanced platforms like Real-time Oasis Market delivery data API provide dynamic input settings, allowing automated updates and continuous monitoring. Input options also control output formats such as JSON, CSV, or direct integration into analytics dashboards. By leveraging configurable input options, businesses can generate actionable insights, streamline inventory management, and implement data-driven strategies effectively in South Korea’s competitive online grocery market.
# Import necessary libraries
import requests
from bs4 import BeautifulSoup
import pandas as pd
# Base URL for Oasis Market grocery listings (example)
BASE_URL = "https://www.oasismarket.com/grocery?page="
# List to store extracted product data
products = []
# Loop through first 5 pages as an example
for page in range(1, 6):
url = BASE_URL + str(page)
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 "
"(KHTML, like Gecko) Chrome/140.0.0.0 Safari/537.36"
}
response = requests.get(url, headers=headers)
if response.status_code == 200:
soup = BeautifulSoup(response.text, "html.parser")
# Find all product containers (adjust selector based on actual HTML)
product_containers = soup.find_all("div", class_="product-card")
for container in product_containers:
try:
product_name = container.find("h2", class_="product-name").text.strip()
price = container.find("span", class_="price").text.strip()
availability = container.find("span", class_="availability").text.strip()
category = container.find("span", class_="category").text.strip()
products.append({
"Product Name": product_name,
"Price": price,
"Availability": availability,
"Category": category
})
except AttributeError:
# Skip if any field is missing
continue
else:
print(f"Failed to fetch page {page}, status code: {response.status_code}")
# Convert the list to a DataFrame
df = pd.DataFrame(products)
# Save to CSV
df.to_csv("oasis_market_products.csv", index=False)
print("Sample result saved as oasis_market_products.csv")
print(df.head())
Integrating your systems with Oasis Market API scraping allows businesses to seamlessly extract and analyze grocery data in real time. By connecting with a Grocery Dataset, companies can automate the collection of Oasis Market product listings, prices, availability, and category details. This integration eliminates manual monitoring, reduces errors, and ensures that insights remain up to date. With API-driven integration, extracted data can be fed directly into dashboards, inventory management tools, or pricing optimization systems. Monitoring competitor products, seasonal promotions, and high-demand SKUs becomes effortless when structured data flows automatically. Additionally, integration supports real-time alerts for price changes, stockouts, and popular items, helping businesses respond quickly and strategically. Using Oasis Market API scraping alongside a Grocery Dataset empowers retailers to make data-driven decisions, enhance operational efficiency, and maintain a competitive edge in South Korea’s rapidly growing online grocery market.
Executing data extraction efficiently is essential for businesses leveraging Oasis Market insights. With the Oasis Market grocery scraper, companies can automate the collection of real-time product information, including prices, availability, categories, and promotions. This approach reduces manual effort, minimizes errors, and ensures that data remains accurate and timely. By integrating with a Grocery Data Scraping API, businesses can structure extracted data for seamless use in dashboards, BI tools, or inventory management systems. This allows for efficient tracking of competitor prices, monitoring seasonal promotions, and analyzing high-demand SKUs across regions. Automated execution ensures continuous updates, enabling actionable insights for pricing optimization, assortment planning, and strategic decision-making. Combining the Oasis Market grocery scraper with a Grocery Data Scraping API empowers retailers to transform raw data into meaningful business intelligence, enhancing operational efficiency and maintaining a competitive advantage in South Korea’s dynamic online grocery market.
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
}
}