How to Scrape GoAbroad Study Abroad Programs

Extract study abroad program data, reviews, and provider details from GoAbroad. Gain insights for educational market research and program price comparisons.

Coverage:GlobalItalySpainSouth KoreaThailandCosta RicaUnited Kingdom
Available Data9 fields
TitlePriceLocationDescriptionImagesSeller InfoPosting DateCategoriesAttributes
All Extractable Fields
Program TitleProvider NameOverall RatingReview CountProgram DescriptionProgram URLProvider Website URLCityCountryField of StudyAge RequirementNationalities AcceptedYears OfferedCost DetailsAccommodations OptionsLanguage Skills RequiredReviewer NameReview DateReview Content
Technical Requirements
JavaScript Required
No Login
Has Pagination
No Official API
Anti-Bot Protection Detected
Rate LimitingJavaScript ChallengesIP BlockingUser-Agent Filtering

Anti-Bot Protection Detected

Rate Limiting
Limits requests per IP/session over time. Can be bypassed with rotating proxies, request delays, and distributed scraping.
JavaScript Challenge
Requires executing JavaScript to access content. Simple requests fail; need headless browser like Playwright or Puppeteer.
IP Blocking
Blocks known datacenter IPs and flagged addresses. Requires residential or mobile proxies to circumvent effectively.
User-Agent Filtering

About GoAbroad

Learn what GoAbroad offers and what valuable data can be extracted from it.

Global Marketplace for International Education

GoAbroad.com is a premier search engine and directory for international education and experiential travel. It acts as a comprehensive marketplace where users can discover study abroad programs, internships, volunteer opportunities, and language schools across the globe. Managed by a global team, the platform aims to provide the most updated resources for meaningful travel experiences.

Structured Data for Market Intelligence

The website contains highly structured data for thousands of programs, including academic field requirements, cost information, and geographic availability. It also features a massive collection of verified student reviews, providing qualitative insights into the participant experience. This data is essential for academic consultants and providers who need to monitor global education trends.

Strategic Business Value

Scraping GoAbroad is highly valuable for program providers who need to perform competitive analysis and track destination popularity. It allows researchers to identify emerging niches in the international education sector and optimize pricing strategies based on real-time market data aggregated across thousands of listings.

About GoAbroad

Why Scrape GoAbroad?

Discover the business value and use cases for extracting data from GoAbroad.

Conduct academic market research to identify trending study destinations.

Perform competitive pricing analysis for international education providers.

Analyze student sentiment across thousands of verified program reviews.

Generate leads for international travel insurance and student services.

Aggregate data for educational comparison portals and niche travel blogs.

Scraping Challenges

Technical challenges you may encounter when scraping GoAbroad.

Dynamic content rendering using Next.js requires a JavaScript-capable scraper.

Pagination uses a Load More button which necessitates browser interaction.

Rate limiting can be aggressive if requests are made too rapidly without proxies.

Data is often embedded in a script tag which requires specific JSON parsing.

Scrape GoAbroad with AI

No coding required. Extract data in minutes with AI-powered automation.

How It Works

1

Describe What You Need

Tell the AI what data you want to extract from GoAbroad. Just type it in plain language — no coding or selectors needed.

2

AI Extracts the Data

Our artificial intelligence navigates GoAbroad, handles dynamic content, and extracts exactly what you asked for.

3

Get Your Data

Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.

Why Use AI for Scraping

Handles Next.js dynamic rendering and Load More buttons without any coding.
Bypasses rate limiting automatically using built-in proxy rotation and browser fingerprinting.
Scheduled runs allow you to monitor new reviews or program updates every week.
Exports data directly to CSV, JSON, or Google Sheets for immediate analysis.
No credit card requiredFree tier availableNo setup needed

AI makes it easy to scrape GoAbroad without writing any code. Our AI-powered platform uses artificial intelligence to understand what data you want — just describe it in plain language and the AI extracts it automatically.

How to scrape with AI:
  1. Describe What You Need: Tell the AI what data you want to extract from GoAbroad. Just type it in plain language — no coding or selectors needed.
  2. AI Extracts the Data: Our artificial intelligence navigates GoAbroad, handles dynamic content, and extracts exactly what you asked for.
  3. Get Your Data: Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.
Why use AI for scraping:
  • Handles Next.js dynamic rendering and Load More buttons without any coding.
  • Bypasses rate limiting automatically using built-in proxy rotation and browser fingerprinting.
  • Scheduled runs allow you to monitor new reviews or program updates every week.
  • Exports data directly to CSV, JSON, or Google Sheets for immediate analysis.

No-Code Web Scrapers for GoAbroad

Point-and-click alternatives to AI-powered scraping

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape GoAbroad. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.

Typical Workflow with No-Code Tools

1
Install browser extension or sign up for the platform
2
Navigate to the target website and open the tool
3
Point-and-click to select data elements you want to extract
4
Configure CSS selectors for each data field
5
Set up pagination rules to scrape multiple pages
6
Handle CAPTCHAs (often requires manual solving)
7
Configure scheduling for automated runs
8
Export data to CSV, JSON, or connect via API

Common Challenges

Learning curve

Understanding selectors and extraction logic takes time

Selectors break

Website changes can break your entire workflow

Dynamic content issues

JavaScript-heavy sites often require complex workarounds

CAPTCHA limitations

Most tools require manual intervention for CAPTCHAs

IP blocking

Aggressive scraping can get your IP banned

No-Code Web Scrapers for GoAbroad

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape GoAbroad. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.

Typical Workflow with No-Code Tools
  1. Install browser extension or sign up for the platform
  2. Navigate to the target website and open the tool
  3. Point-and-click to select data elements you want to extract
  4. Configure CSS selectors for each data field
  5. Set up pagination rules to scrape multiple pages
  6. Handle CAPTCHAs (often requires manual solving)
  7. Configure scheduling for automated runs
  8. Export data to CSV, JSON, or connect via API
Common Challenges
  • Learning curve: Understanding selectors and extraction logic takes time
  • Selectors break: Website changes can break your entire workflow
  • Dynamic content issues: JavaScript-heavy sites often require complex workarounds
  • CAPTCHA limitations: Most tools require manual intervention for CAPTCHAs
  • IP blocking: Aggressive scraping can get your IP banned

Code Examples

import requests
from bs4 import BeautifulSoup
import json

url = 'https://www.goabroad.com/study-abroad/search/italy/study-abroad-1'
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'}

try:
    response = requests.get(url, headers=headers)
    soup = BeautifulSoup(response.text, 'html.parser')
    # GoAbroad often hides data in a Next.js script tag called __NEXT_DATA__
    next_data = soup.find('script', id='__NEXT_DATA__')
    if next_data:
        data = json.loads(next_data.string)
        print('Successfully extracted hydration data')
    
    # Fallback for basic parsing if hydration data isn't needed
    listings = soup.select('.listing-card')
    for item in listings:
        title = item.select_one('h4').text.strip()
        print(f'Program Found: {title}')
except Exception as e:
    print(f'Error: {e}')

When to Use

Best for static HTML pages where content is loaded server-side. The fastest and simplest approach when JavaScript rendering isn't required.

Advantages

  • Fastest execution (no browser overhead)
  • Lowest resource consumption
  • Easy to parallelize with asyncio
  • Great for APIs and static pages

Limitations

  • Cannot execute JavaScript
  • Fails on SPAs and dynamic content
  • May struggle with complex anti-bot systems

How to Scrape GoAbroad with Code

Python + Requests
import requests
from bs4 import BeautifulSoup
import json

url = 'https://www.goabroad.com/study-abroad/search/italy/study-abroad-1'
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'}

try:
    response = requests.get(url, headers=headers)
    soup = BeautifulSoup(response.text, 'html.parser')
    # GoAbroad often hides data in a Next.js script tag called __NEXT_DATA__
    next_data = soup.find('script', id='__NEXT_DATA__')
    if next_data:
        data = json.loads(next_data.string)
        print('Successfully extracted hydration data')
    
    # Fallback for basic parsing if hydration data isn't needed
    listings = soup.select('.listing-card')
    for item in listings:
        title = item.select_one('h4').text.strip()
        print(f'Program Found: {title}')
except Exception as e:
    print(f'Error: {e}')
Python + Playwright
from playwright.sync_api import sync_playwright

def scrape_goabroad():
    with sync_playwright() as p:
        browser = p.chromium.launch(headless=True)
        page = browser.new_page()
        page.goto('https://www.goabroad.com/study-abroad/search/italy/study-abroad-1')
        page.wait_for_selector('.listing-card')
        
        # Click Load More button to reveal more listings
        for _ in range(3):
            load_more = page.query_selector('button:has-text("Load More")')
            if load_more:
                load_more.click()
                page.wait_for_timeout(2000)

        programs = page.query_selector_all('.listing-card')
        for prog in programs:
            title = prog.query_selector('h4').inner_text()
            print(f'Program: {title}')
        browser.close()

scrape_goabroad()
Python + Scrapy
import scrapy

class GoAbroadSpider(scrapy.Spider):
    name = 'goabroad'
    start_urls = ['https://www.goabroad.com/study-abroad/search/italy/study-abroad-1']

    def parse(self, response):
        # Extract programs from the initial page
        for program in response.css('.listing-card'):
            yield {
                'title': program.css('h4::text').get(),
                'provider': program.css('.provider-name::text').get(),
                'rating': program.css('.rating-score::text').get()
            }
        
        # Follow pagination if available
        next_page = response.css('a.pagination-next::attr(href)').get()
        if next_page:
            yield response.follow(next_page, self.parse)
Node.js + Puppeteer
const puppeteer = require('puppeteer');

(async () => {
  const browser = await puppeteer.launch();
  const page = await browser.newPage();
  await page.goto('https://www.goabroad.com/study-abroad/search/italy/study-abroad-1');
  await page.waitForSelector('.listing-card');

  const data = await page.evaluate(() => {
    return Array.from(document.querySelectorAll('.listing-card')).map(el => ({
      title: el.querySelector('h4')?.innerText,
      provider: el.querySelector('.provider-name')?.innerText
    }));
  });

  console.log(data);
  await browser.close();
})();

What You Can Do With GoAbroad Data

Explore practical applications and insights from GoAbroad data.

Educational Price Comparison Tool

Create a tool for students to compare the costs of TEFL certifications or study abroad semesters globally.

How to implement:

  1. 1Scrape cost data and duration for specific program types.
  2. 2Convert all prices into a base currency like USD using a conversion API.
  3. 3Build a web dashboard allowing users to filter by budget and region.

Use Automatio to extract data from GoAbroad and build these applications without writing code.

What You Can Do With GoAbroad Data

  • Educational Price Comparison Tool

    Create a tool for students to compare the costs of TEFL certifications or study abroad semesters globally.

    1. Scrape cost data and duration for specific program types.
    2. Convert all prices into a base currency like USD using a conversion API.
    3. Build a web dashboard allowing users to filter by budget and region.
  • Competitor Rating Monitoring

    Program providers can monitor their own ratings and those of their competitors to improve service quality.

    1. Extract ratings and review counts for major providers monthly.
    2. Track changes in average scores over time in a spreadsheet.
    3. Alert stakeholders when a competitor's rating drops or significantly rises.
  • International Lead Generation

    Service providers like travel insurance companies can identify high-volume destinations for student marketing.

    1. Scrape listing counts per city to identify high-volume student destinations.
    2. Identify top-rated providers for potential B2B partnerships.
    3. Cross-reference location data with embassy requirements to offer relevant services.
  • Academic Partnership Development

    Universities can identify potential partner institutions or program providers in specific regions.

    1. Identify top-rated providers in target geographic regions.
    2. Extract program details and reviewer demographics to assess institutional fit.
    3. Reach out to provider contacts with data-backed partnership proposals.
  • Student Sentiment Analysis

    Marketing teams can analyze review text to identify the most valued aspects of a study abroad program.

    1. Scrape all qualitative review text for specific program categories.
    2. Use Natural Language Processing (NLP) to extract recurring themes like 'immersion'.
    3. Incorporate popular themes into advertising copy and program descriptions.
More than just prompts

Supercharge your workflow with AI Automation

Automatio combines the power of AI agents, web automation, and smart integrations to help you accomplish more in less time.

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Pro Tips for Scraping GoAbroad

Expert advice for successfully extracting data from GoAbroad.

Always check the __NEXT_DATA__ script tag first, as it contains structured JSON for the entire page.

Monitor the browser network tab to find internal API endpoints used for the Load More functionality.

Use a slow crawl rate (one request every 3-5 seconds) to avoid being flagged by simple rate limiters.

Rotate residential proxies if you plan to scrape thousands of programs across multiple countries.

Store the data in a relational database to easily cross-reference providers with their program locations.

Testimonials

What Our Users Say

Join thousands of satisfied users who have transformed their workflow

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Related Web Scraping

Frequently Asked Questions About GoAbroad

Find answers to common questions about GoAbroad