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.
The Shopee Supermarket Grocery Scraper is a powerful tool designed to extract Shopee Supermarket product listings efficiently. With this Shopee Supermarket grocery scraper, you can collect detailed product information, including names, prices, stock availability, ratings, and delivery options. Our Shopee Supermarket API scraping solution ensures fast, accurate, and structured data, perfect for businesses, analysts, and developers who want to monitor inventory or track competitor pricing. Using a robust Grocery Data Scraping API, users can automate large-scale data extraction without manual errors or delays. Whether tracking grocery items, beverages, or household essentials, this API provides real-time insights to optimize e-commerce strategies. With flexible endpoints and easy integration, the Shopee Supermarket grocery scraper empowers businesses to harness Shopee Supermarket product data efficiently and reliably.
A Shopee Supermarket delivery data scraper is a tool designed to scrape Shopee Supermarket product data efficiently. It automates the collection of grocery product details, including names, prices, ratings, stock availability, and delivery information. The scraper works by navigating Shopee Supermarket pages or using APIs to extract structured data in formats like JSON or CSV. Businesses, analysts, and developers use it to monitor inventory, track competitor pricing, and analyze trends. Advanced scrapers capture real-time updates, ensuring accurate product and delivery information. Using a Shopee Supermarket delivery data scraper saves time and reduces manual errors, while Scrape Shopee Supermarket product data enables actionable insights for pricing strategies, e-commerce optimization, and inventory planning.
Extracting data from Shopee Supermarket provides a competitive edge. A Shopee Supermarket price scraping tool helps track competitors’ pricing and promotions, while Shopee Supermarket grocery product data extraction monitors product availability and details. Businesses can analyze trends, identify popular items, and optimize inventory or marketing strategies. Analysts and developers use this data for price comparison apps, recommendation engines, and dashboards. Real-time updates ensure accurate decision-making and reduce the risk of outdated data. Leveraging Shopee Supermarket price scraping and Shopee Supermarket grocery product data extraction allows companies to efficiently manage product catalogs, enhance customer experience, and make informed e-commerce decisions based on reliable insights.
Using a Shopee Supermarket grocery delivery data extractor or a Real-time Shopee Supermarket delivery data API can be legal if done responsibly and according to Shopee’s terms of service. Publicly available data can generally be used for analysis, pricing comparisons, or market research. Unauthorized access or aggressive scraping of private data may violate policies or intellectual property laws. Businesses should respect rate limits, avoid server overload, and use structured data tools to remain compliant. Leveraging a Shopee Supermarket grocery delivery data extractor or a Real-time Shopee Supermarket delivery data API allows legal access to delivery and product information while minimizing risks associated with automated data collection, ensuring ethical and compliant scraping practices.
Data can be extracted using tools like a Shopee Supermarket delivery data scraper or Scrape Shopee Supermarket product data services. These solutions automate collection of product names, prices, ratings, stock status, and delivery details. APIs provide real-time access, while scraping scripts parse structured data from search results or product pages. A Shopee Supermarket delivery data scraper can fetch daily updates on product availability and delivery times, while Scrape Shopee Supermarket product data compiles complete product lists for analytics or inventory management. Automation ensures accuracy, reduces manual work, and outputs data in JSON, CSV, or database formats for integration into business or analytics systems.
For more options, tools like a Shopee Supermarket catalog scraper Singapore or Extract Shopee Supermarket product listings provide efficient data collection. These alternatives gather complete product catalogs, prices, stock information, and delivery details quickly. The Shopee Supermarket catalog scraper Singapore ensures regional accuracy for Singapore-based businesses, while Extract Shopee Supermarket product listings offers structured outputs for analytics, dashboards, and inventory tracking. Using multiple scraping options alongside APIs improves scalability, real-time updates, and data reliability. Combining a Shopee Supermarket catalog scraper Singapore with Extract Shopee Supermarket product listings tools allows businesses to streamline e-commerce data collection, gain actionable insights, and optimize strategies based on comprehensive, accurate, and up-to-date product information.
Input Options define the ways users can provide parameters or data to a scraping tool or API. With our Shopee Supermarket delivery data scraper and Scrape Shopee Supermarket product data tools, input options allow users to customize extraction by product categories, SKUs, price ranges, or delivery locations. You can input search keywords, product URLs, or catalog IDs to ensure precise and targeted data collection. Advanced input options also support filters for real-time updates, stock availability, or regional variations, making the process highly efficient. By configuring input options correctly, you can optimize your Shopee Supermarket price scraping or Shopee Supermarket grocery product data extraction workflows for accuracy and speed. These versatile input options reduce manual work, improve targeting, and enable structured outputs in JSON, CSV, or database formats, empowering businesses to efficiently manage Shopee Supermarket product and delivery data.
# Shopee Supermarket Data Scraper - Sample Python Script
import requests
from bs4 import BeautifulSoup
import csv
import time
# Example URL for Shopee Supermarket search or category
url = "https://shopee.sg/search?category=110101" # Replace with actual category or search URL
# Headers to mimic a real browser request
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/141.0.0.0 Safari/537.36"
}
# Send GET request
response = requests.get(url, headers=headers)
soup = BeautifulSoup(response.text, "html.parser")
# Find product cards (adjust selector based on Shopee Supermarket page structure)
products = soup.find_all("div", class_="shopee-search-item-result__item")
# Save results to CSV
with open("shopee_supermarket_products.csv", "w", newline="", encoding="utf-8") as csvfile:
writer = csv.writer(csvfile)
writer.writerow(["Product Name", "Price", "Rating", "Stock Status", "Product URL"])
for product in products:
# Product Name
name_tag = product.find("div", class_="ie3A+n bM+7UW Cve6sh")
name = name_tag.get_text(strip=True) if name_tag else "N/A"
# Product Price
price_tag = product.find("span", class_="ZEgDH9")
price = price_tag.get_text(strip=True) if price_tag else "N/A"
# Product Rating
rating_tag = product.find("div", class_="shopee-rating-stars__stars")
rating = rating_tag.get_text(strip=True) if rating_tag else "N/A"
# Stock Status (Shopee may not show explicitly; use availability text if present)
stock_status = "In Stock" if product else "Out of Stock"
# Product URL
link_tag = product.find("a", class_="link")
product_url = f"https://shopee.sg{link_tag['href']}" if link_tag else "N/A"
writer.writerow([name, price, rating, stock_status, product_url])
print("Shopee Supermarket product data scraping completed. Check shopee_supermarket_products.csv")
Integrations with Shopee Supermarket Data Scraper allow businesses to seamlessly incorporate Shopee Supermarket grocery scraper capabilities into existing systems. With this integration, you can automatically collect product names, prices, stock availability, and delivery details from Shopee Supermarket and feed the data directly into CRMs, analytics tools, or inventory management platforms. Leveraging a robust Grocery Data Scraping API, you can automate large-scale extraction of grocery products, ensuring structured, accurate, and up-to-date datasets. This makes it easy to monitor market trends, track competitor pricing, and optimize product catalogs efficiently. By connecting the Shopee Supermarket grocery scraper with your business workflows, you gain actionable insights without manual effort, enhance decision-making, and streamline e-commerce operations. The combination of a Shopee Supermarket grocery scraper and a Grocery Data Scraping API ensures reliable, scalable, and real-time product data extraction.
Executing the Shopee Supermarket Data Scraping Actor with the Real Data API allows businesses to automate the extraction of comprehensive product information from Shopee Supermarket efficiently. Using Shopee Supermarket API scraping, you can collect product names, prices, ratings, availability, and delivery details in real time. The scraping actor interacts seamlessly with Shopee Supermarket pages or APIs, delivering structured and reliable data that can be integrated into dashboards, analytics tools, or inventory systems. With the support of a robust Grocery Dataset, companies can monitor market trends, track competitor pricing, and optimize grocery product listings with minimal manual effort. Leveraging Shopee Supermarket API scraping ensures speed, scalability, and data accuracy, enabling data-driven decisions, enhanced operational efficiency, and actionable insights for e-commerce strategy and grocery inventory management.
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
}
}