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.
Our powerful Internshala Scraper, backed by the Real Data API, enables businesses to efficiently Scrape Internshala job postings and company data with high accuracy and scalability. Using the advanced Internshala API, you can extract structured information such as internship titles, company names, stipends, locations, duration, skills required, application deadlines, and job descriptions. The solution supports real-time data collection, bulk extraction, and automated delivery in JSON or CSV formats. Designed for HR teams, job aggregators, and market research firms, our Internshala Scraper ensures clean, reliable datasets for hiring trend analysis and competitive intelligence. Seamlessly integrate extracted data into recruitment platforms, dashboards, or analytics systems to optimize talent acquisition strategies.
An Internshala Data Scraper is an automated solution designed to collect structured internship and job-related information from Internshala. Using an Internshala job data scraping API, businesses can retrieve details such as internship titles, company names, stipends, locations, skills required, duration, and application deadlines. The system works by sending automated requests, capturing relevant webpage or API responses, and converting unstructured content into organized formats like JSON or CSV. Advanced features may include real-time monitoring, proxy rotation, and scheduled extraction. This enables companies to streamline data collection and build actionable recruitment analytics efficiently.
Organizations extract data from Internshala to gain insights into internship demand, hiring trends, and emerging skill requirements. An Internshala job listings data scraper helps track stipend benchmarks, popular job roles, industry growth patterns, and geographic hiring distribution. Educational institutions and HR teams can use this information to align training programs with market needs. Recruitment agencies can identify active employers and optimize outreach strategies. Automated extraction ensures access to accurate, up-to-date datasets while eliminating manual research efforts. This supports data-driven decisions and strengthens workforce planning initiatives.
The legality of extracting data depends on how it is collected and used. When conducting Internshala job availability and hiring data scraping, it is important to follow Internshala’s terms of service, robots.txt policies, and applicable data protection laws. Publicly accessible job listings may be used for research and analytics, but personal or confidential information must not be misused. Ethical scraping practices, proper rate limiting, and secure data handling reduce compliance risks. Consulting legal professionals before large-scale extraction projects ensures transparency and adherence to relevant regulations.
You can extract data using automated tools or APIs tailored for structured information retrieval. An Internshala recruitment data extractor enables businesses to gather internship titles, company profiles, stipend details, required skills, and deadlines efficiently. The process typically involves configuring filters, running automated queries, and exporting results in JSON or CSV formats. Advanced solutions support bulk extraction, scheduling, and integration with analytics platforms. By implementing a reliable data pipeline, organizations can transform raw internship listings into actionable recruitment insights and market intelligence reports.
If you require broader data coverage, several alternatives can complement your strategy. An Internshala job catalog data extraction service can be combined with multi-platform scraping tools to gather internship and job data from LinkedIn, Indeed, and other recruitment portals. Some providers offer API-based access with scalable infrastructure and compliance-focused features. These alternatives deliver expanded market visibility and comparative hiring analysis. Selecting the right approach depends on data volume needs, automation requirements, and integration goals to ensure a reliable recruitment intelligence solution.
Our solution provides flexible input configurations powered by the Real-time Internshala job listings data API to ensure precise and scalable data collection. Users can define custom search parameters such as internship title, keywords, location, stipend range, duration, skills required, and application deadline. Advanced filters allow segmentation by industry, work-from-home options, and company type. These structured inputs help businesses efficiently Extract Internshala job listings and vacancy data based on specific hiring or research requirements. With bulk query support and automated scheduling, organizations can continuously gather updated datasets and seamlessly integrate them into HR systems, analytics dashboards, or recruitment intelligence platforms.
{
"status": "success",
"total_results": 2,
"internships": [
{
"internship_id": "INT12345",
"internship_title": "Digital Marketing Intern",
"company_name": "Bright Media Pvt Ltd",
"location": "Work From Home",
"stipend": "₹8,000/month",
"duration": "3 Months",
"skills_required": ["SEO", "Social Media Marketing", "Content Creation"],
"posted_date": "2026-02-10",
"application_deadline": "2026-02-20",
"internship_url": "https://internshala.com/internship/detail/INT12345"
},
{
"internship_id": "INT12346",
"internship_title": "Software Development Intern",
"company_name": "TechNova Solutions",
"location": "Bangalore, India",
"stipend": "₹12,000/month",
"duration": "6 Months",
"skills_required": ["Python", "Django", "REST API"],
"posted_date": "2026-02-09",
"application_deadline": "2026-02-25",
"internship_url": "https://internshala.com/internship/detail/INT12346"
}
]
}
Our Internshala data extraction solution integrates seamlessly with HRMS platforms, ATS systems, CRM tools, and business intelligence dashboards to streamline recruitment analytics. Using the Internshala job scraper for hiring market insights, organizations can automatically sync structured internship and job data into platforms like Salesforce, HubSpot, Power BI, or Tableau. The extracted Internshala Datasets are delivered in flexible formats such as JSON or CSV for smooth integration with databases and cloud storage systems. Automated workflows ensure continuous updates, enabling companies to monitor internship demand, stipend trends, and skill requirements while making informed, data-driven talent acquisition decisions.
Executing Internshala data scraping with Real Data API ensures accurate, scalable, and real-time internship market intelligence. Our advanced Internshala Scraper automates the extraction of internship titles, company names, stipends, locations, duration, skills required, and application deadlines with structured precision. By leveraging the powerful Internshala API, businesses can apply custom filters, schedule automated queries, and retrieve bulk datasets in JSON or CSV formats. The system incorporates smart request handling and proxy management to maintain reliability and performance. This streamlined approach enables seamless integration with HR platforms, analytics dashboards, and recruitment systems for comprehensive hiring trend analysis and workforce insights.
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
}
}