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 Sheng Siong Grocery Scraper is a powerful Grocery Data Scraping API designed to extract real-time product information from Sheng Siong’s online grocery store. This tool helps you collect detailed data such as product names, prices, categories, images, and availability status directly from Sheng Siong’s listings. Ideal for market research, price comparison, and inventory tracking, the scraper ensures accurate, structured, and up-to-date data in formats like JSON or CSV. With seamless integration and scalable performance, the Sheng Siong Grocery Scraper enables businesses, analysts, and developers to automate product monitoring and gain insights into retail trends. Whether you’re building an eCommerce dashboard or conducting competitive analysis, this Grocery Data Scraping API delivers clean and reliable Sheng Siong data efficiently and securely. Perfect for enhancing data-driven decisions in the grocery retail industry.
Extracting data from Sheng Siong provides valuable insights into grocery pricing, promotions, and consumer trends. With a Sheng Siong grocery delivery data extractor, you can collect details like product prices, categories, and delivery options directly from Sheng Siong’s online store. This information helps businesses perform price comparison, monitor competitors, and optimize product assortments. Additionally, using a Sheng Siong catalog scraper Singapore, companies can keep track of new arrivals and changing inventory levels in real time. Accurate data extraction enables data-driven decisions, such as adjusting pricing strategies or improving supply chain efficiency. Whether you’re in retail analytics, eCommerce, or marketing, extracting data from Sheng Siong ensures you stay informed about the grocery market’s latest developments. A Sheng Siong grocery delivery data extractor empowers smarter decision-making and competitive advantage through fresh, reliable information.
Extracting data from Sheng Siong provides valuable insights into grocery pricing, promotions, and consumer trends. With a Sheng Siong grocery delivery data extractor, you can collect details like product prices, categories, and delivery options directly from Sheng Siong’s online store. This information helps businesses perform price comparison, monitor competitors, and optimize product assortments. Additionally, using a Sheng Siong catalog scraper Singapore, companies can keep track of new arrivals and changing inventory levels in real time. Accurate data extraction enables data-driven decisions, such as adjusting pricing strategies or improving supply chain efficiency. Whether you’re in retail analytics, eCommerce, or marketing, extracting data from Sheng Siong ensures you stay informed about the grocery market’s latest developments. A Sheng Siong grocery delivery data extractor empowers smarter decision-making and competitive advantage through fresh, reliable information.
The legality of using a Sheng Siong grocery product data extraction tool depends on how the data is collected and used. Publicly available information can typically be scraped for analytical or academic purposes if done ethically and within legal boundaries. The Real-time Sheng Siong delivery data API allows structured, permission-based access to grocery data, ensuring compliance with data protection laws. It’s crucial to respect website terms of service and avoid scraping private or restricted information. Responsible data extraction focuses on transparency, security, and fair use. Many businesses rely on compliant solutions like the Sheng Siong grocery product data extraction API to monitor pricing trends and consumer behavior while maintaining ethical standards. Always check local data laws and Sheng Siong’s policies before implementing any Real-time Sheng Siong delivery data API for commercial purposes.
To scrape Sheng Siong product data, you can use automated tools or APIs designed to capture key grocery details such as product names, prices, and categories. The Sheng Siong price scraping process involves configuring a scraper to navigate through Sheng Siong’s website, collect structured data, and export it in usable formats like JSON or CSV. Many solutions include scheduling and proxy rotation features for continuous and secure extraction. Using APIs or dedicated scrapers ensures reliable data for analytics dashboards, price comparison engines, or retail monitoring tools. With the right setup, Sheng Siong price scraping helps businesses stay updated on market changes, promotions, and stock levels. Whether you’re conducting research or building an app, learning to scrape Sheng Siong product data efficiently provides valuable insights into Singapore’s dynamic grocery retail market.
If you’re exploring beyond standard scrapers, several advanced options complement the Sheng Siong catalog scraper Singapore. Tools like the Sheng Siong grocery delivery data extractor or multi-source data APIs can combine data from other grocery chains, giving a broader view of market dynamics. These alternatives enable comparative analytics, automated pricing intelligence, and demand forecasting. For developers, integrating a Sheng Siong catalog scraper Singapore with dashboards or data warehouses enhances monitoring and decision-making. Businesses seeking flexibility can use scalable scraping frameworks that adapt to website changes and ensure data consistency. A Sheng Siong grocery delivery data extractor is also ideal for real-time market tracking, helping you analyze promotions and availability across regions. With such alternatives, you can gather comprehensive grocery insights, maintain competitive intelligence, and optimize your data strategy effortlessly.
The Sheng Siong grocery delivery data extractor offers flexible input options to customize and control your data scraping process. You can specify URLs, product categories, or keywords to target specific grocery sections such as fresh produce, beverages, or household items. The tool also allows integration with sitemaps or pre-defined feeds for large-scale extraction. By configuring parameters like pagination depth, update frequency, and region, you can fine-tune how the scraper collects data from Sheng Siong’s website. The Sheng Siong grocery product data extraction tool supports both manual input and automated scheduling, ensuring continuous and efficient data updates. Whether you need historical data or real-time insights, the scraper adapts to different formats like JSON, CSV, or XML for seamless export. These input options make the tool highly versatile for eCommerce research, pricing analysis, and grocery market intelligence.
#!/usr/bin/env python3
"""
Sheng Siong Data Scraper - Sample Result Script (detailed, ready-to-run)
Requirements:
pip install requests beautifulsoup4 lxml pandas
Notes:
- This script scrapes Sheng Siong product listing pages and exports JSON/CSV.
- It respects robots.txt and includes polite rate limiting, retries, and User-Agent.
- If Sheng Siong uses heavy JS to render listings, replace the fetch_page() with a Selenium render.
"""
import time
import json
import csv
import logging
import math
import os
from typing import List, Dict, Optional
from urllib.parse import urljoin, urlparse
import requests
from requests.adapters import HTTPAdapter, Retry
from bs4 import BeautifulSoup
import pandas as pd
import urllib.robotparser as robotparser
# ----------------------------
# Configuration
# ----------------------------
BASE_URL = "https://www.shengsiong.com.sg"
START_CATEGORY_URL = "https://www.shengsiong.com.sg/category/0001"
OUTPUT_DIR = "output"
CSV_FILENAME = os.path.join(OUTPUT_DIR, "shengsiong_products.csv")
JSON_FILENAME = os.path.join(OUTPUT_DIR, "shengsiong_products.json")
IMAGE_DIR = os.path.join(OUTPUT_DIR, "images")
RATE_LIMIT_SECONDS = 1.2
MAX_PAGES = 100
TIMEOUT = 15
USER_AGENT = "Mozilla/5.0 (compatible; ShengSiongScraper/1.0; +https://example.com/bot)"
# ----------------------------
# Logging
# ----------------------------
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s [%(levelname)s] %(message)s"
)
logger = logging.getLogger("shengsiong-scraper")
# ----------------------------
# Utilities: Session with retries
# ----------------------------
The Sheng Siong grocery scraper seamlessly integrates with various analytics, retail, and data platforms to enhance grocery intelligence and business automation. Using the Grocery Data Scraping API, users can connect Sheng Siong data directly to dashboards, price monitoring systems, or market research tools. Integration options include RESTful API endpoints, database connectors, and cloud storage synchronization for smooth data flow. This allows businesses to combine Sheng Siong grocery data with other retail sources for competitive analysis and demand forecasting. The Sheng Siong grocery scraper supports integration with tools like Power BI, Tableau, and Google Data Studio, enabling visual insights from live product listings, pricing, and stock updates. Through the Grocery Data Scraping API, developers can automate extraction pipelines, ensuring continuous access to real-time grocery data for enhanced retail decision-making and performance tracking.
Executing the Sheng Siong API scraping process with the Real Data API enables seamless automation of grocery data collection from Sheng Siong’s online platform. The scraping actor connects directly to the Grocery Dataset, extracting structured data such as product names, prices, categories, and availability in real time. With the Sheng Siong API scraping workflow, users can configure input parameters, schedule extractions, and export results to CSV, JSON, or databases for analysis. The Real Data API ensures stable, scalable access to Sheng Siong product information, making it ideal for developers, analysts, and eCommerce professionals. By integrating the extracted Grocery Dataset into dashboards or analytics tools, businesses can track price fluctuations, identify consumer trends, and optimize inventory management. This efficient, code-driven setup guarantees accurate, updated grocery insights from Sheng Siong’s digital catalog.
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
}
}