빠른 시작

This guide covers every Web Scraper feature:
- 시작하기 — 계정 생성 및 기본 설정
- How to Use Point-and-Click Interface — Build scrapers visually without writing any code
- How to Use Extract Data — Pull structured data from any page on a site
- How to Use Handle JavaScript Sites — Scrape dynamic pages that load content with JS
- How to Use Customize Data — Adjust and clean your scraped rows before export
- How to Use Export Data — Save results as a CSV file, XLSX, or JSON
소요 시간: 각 작품당 5분
이 가이드에는 다음 내용도 포함되어 있습니다. 프로 팁 | 흔히 저지르는 실수 | 문제 해결 | 가격 | 대안
이 가이드를 신뢰해야 하는 이유
I have used Web Scraper for over six months and tested every feature in this tutorial. This article comes from real hands-on experience — not marketing fluff.

Web Scraper is one of the most beginner friendly guide tools for browser-based 데이터 추출.
하지만 대부분의 사용자는 이 기기가 할 수 있는 일의 극히 일부분만 활용할 뿐입니다.
This guide shows you how to use webscraper step by step.
Every feature is covered with screenshots and helpful tips.
Web Scraper Tutorial
This complete how to use Web Scraper tutorial walks you through every feature step by step, from initial setup to advanced methods that make you a power user.

웹 스크래퍼
Scrape sites directly from your browser with zero code. Web Scraper lets you extract data from any website and export it as CSV, XLSX, or JSON. Start free — no credit card required.
Getting Started with Web Scraper
어떤 기능을 사용하기 전에 먼저 이 일회성 설정을 완료하십시오.
약 3분 정도 걸립니다.
먼저 이 간단한 개요 영상을 시청하세요.
이제 각 단계를 하나씩 살펴보겠습니다.
1단계: 계정 생성
Go to the Web Scraper website at https://webscraper.io/ in your browser.
'가입하기' 또는 '무료 체험 시작하기'를 클릭하세요.
Enter your email and create a password to set up your account.
✓ 검문소: 확인하세요 받은 편지함 확인 이메일을 보내드립니다.
2단계: 브라우저 확장 프로그램 설치
Open the Chrome Web Store and search for “Web Scraper” to find the extension.
Click “Add to Chrome” and confirm the download.
The extension also works on Windows, macOS, and Linux desktops.
대시보드는 다음과 같습니다.

✓ 검문소: You should see the Web Scraper tab in DevTools.
3단계: 초기 설정 완료
Open DevTools (F12) and click the Web Scraper tab to load the interface.
Create your first sitemap by pasting the URL of the site you want to scrape.
✅ 완료: 이제 아래의 모든 기능을 사용할 준비가 되었습니다.
How to Use Web Scraper Point-and-Click Interface
Point-and-Click Interface lets you create a scraper visually by selecting correct elements on the page.
다음은 단계별 사용 방법입니다.
Step 1: Open the Sitemap Editor
Navigate to the site you want to scrape in your browser.
Open DevTools and click the Web Scraper tab to begin.
Step 2: Select Elements Visually
Click “Add new selector” and choose your selector type.
Click directly on the page elements you want to scrape.
Web Scraper highlights the correct elements and suggests CSS selectors for you.
For example, clicking a product title auto-generates the matching selector.
이것이 어떤 모습인지 보여드리겠습니다:

✓ 검문소: You should see green highlights on your selected elements.
Step 3: Save Your Selector
Click “Done selecting” and then press “Save selector” to confirm.
The scraper stores the css selectors pattern for finding elements on every page.
✅ 결과: Your visual scraper is ready to extract data without code.
💡 꿀팁: Use the “Element preview” to verify your selectors grab the right data before running the full scrape.
How to Use Web Scraper Extract Data
데이터 추출 lets you pull structured data from any web page automatically.
다음은 단계별 사용 방법입니다.
Step 1: Configure Your Selectors
Set up selectors for each data point — 텍스트, link, image, or html header.
Use the selector tree to navigate nested elements on the page structure.
Step 2: Run the Scrape
Click “Scrape” and set your request interval and page load delay.
The scraper sends requests to each URL and starts the data extraction process.
이것이 어떤 모습인지 보여드리겠습니다:

✓ 검문소: You should see rows of extracted data appear in the preview.
3단계: 결과를 검토하세요
클릭 “먹다” to inspect the extracted data in a table view.
Check that every column matches the data you are interested in collecting.
✅ 결과: You have clean, structured data ready for export.
💡 꿀팁: Set a 2-second delay between requests to avoid triggering rate limits on the target website.
How to Use Web Scraper Handle JavaScript Sites
Handle JavaScript Sites lets you scrape dynamic pages that load content using JavaScript.
다음은 단계별 사용 방법입니다.
Step 1: Identify Dynamic Content
Check if the page loads data after the initial HTML by watching the node tree.
You may need to navigate html elements manually to confirm which ones load late.
If content appears only after JavaScript runs, you need this feature.
Step 2: Enable JavaScript Rendering
In Web Scraper Cloud, select “Full JavaScript rendering” in your sitemap settings.
Set the page load wait time so all elements fully render before the scrape starts.
이것이 어떤 모습인지 보여드리겠습니다:

✓ 검문소: The preview should show the dynamically loaded content.
Step 3: Test and Run
Run a test scrape on a single page to confirm the script captures every element.
Once verified, run the full scrape across all target pages on the site.
✅ 결과: You can now extract data from JS-heavy sites like a pro.
💡 꿀팁: If a site uses infinite scroll, add a “Scroll down” selector to load all content before the scrape begins.
How to Use Web Scraper Customize Data
Customize Data lets you adjust, clean, and modify your scraped data before saving it.
다음은 단계별 사용 방법입니다.
Step 1: Open the Data Preview
After your scrape finishes, click “Browse” to view the raw data table.
Review each column and note any rows that need cleaning.
Step 2: Apply Regex or Text Filters
Use the “Regex” option in your selector to parse and trim unwanted text.
This is essentially a flexible pattern match that cleans data in place.
이것이 어떤 모습인지 보여드리겠습니다:

✓ 검문소: Your data columns should now show only the clean values.
Step 3: Rename and Reorder Columns
Edit selector names to give each column a clear, familiar header label.
Reorder selectors in the sitemap to match your final output structure.
✅ 결과: Your data is clean, labeled, and ready for export or analysis.
💡 꿀팁: Use the “Multiple” checkbox on a selector to capture all matching elements as separate rows in the output.
How to Use Web Scraper Export Data
내보내기 데이터 lets you save your scraped results as a csv file, XLSX, or JSON file.
다음은 단계별 사용 방법입니다.
Step 1: Finish Your Scrape
Wait for the scrape to complete, then click “Browse” to preview the data.
Confirm all rows and columns contain the values you expect to see.
2단계: 내보내기 형식 선택
Click the export button and pick CSV, XLSX, or JSON from the format list.
For most users, csv is the most flexible and widely supported option.
이것이 어떤 모습인지 보여드리겠습니다:

✓ 검문소: You should see a downloading prompt in your browser.
Step 3: Save the File
Pick a folder on your computer and save the exported file.
Open it in Excel, Google Sheets, or any tool that reads CSV to verify and print the data.
✅ 결과: Your scraped data is saved locally and ready for use.
💡 꿀팁: On Web Scraper Cloud, use the API or webhook to auto-send exported data to Dropbox or Google Drive.
Web Scraper Pro Tips and Shortcuts
After testing Web Scraper for over six months, here are my best tips.
User feedback on forums confirms these shortcuts save the most time.
키보드 단축키
| 행동 | 지름길 |
|---|---|
| Open DevTools | F12 |
| Inspect Element | Ctrl + Shift + C |
| Toggle Console | 에스 |
| Reload Page | Ctrl + R |
대부분의 사람들이 놓치는 숨겨진 기능들
- Sitemap Import/Export: Copy and paste a JSON sitemap to quickly clone a scraper or share it with your team as a post in your project folder.
- Pagination Selector: Add a link selector for “Next” buttons to automatically navigate through multi-page search results and scrape every page.
- Scheduled Scraping: Use Web Scraper Cloud to run scrapes on a set schedule and get fresh data delivered to your inbox or service webhook.
Web Scraper Common Mistakes to Avoid
Mistake #1: Scraping Too Fast Without Delays
❌ 틀림: Running scrapes with zero delay, which triggers IP blocks and error responses from the server.
✅ 오른쪽: Set a 2000ms minimum delay between requests to mimic human browsing patterns.
Mistake #2: Using the Wrong Selector Type
❌ 틀림: Using a “Text” selector when you need to extract href link values or image URLs from elements.
✅ 오른쪽: Match the selector type to your data — use “Link” for URLs and “Image” for images.
Mistake #3: Ignoring robots.txt Rules
❌ 틀림: Scraping pages blocked by robots.txt, which can lead to legal issues for businesses.
✅ 오른쪽: Always check the robots.txt file before you scrape to stay compliant and avoid problems.
Web Scraper Troubleshooting
Problem: Scraper Returns Empty Data
원인: The css selectors are targeting elements that no longer exist on the page.
고치다: Re-inspect the page in your browser, update your selectors, and run a test scrape.
Problem: JavaScript Content Not Loading
원인: The free browser extension cannot execute JavaScript on pages that need it.
고치다: Switch to Web Scraper Cloud, which supports full JavaScript rendering for dynamic sites.
Problem: IP Gets Blocked Mid-Scrape
원인: Sending too many requests too quickly triggers the target site’s anti-bot protection.
고치다: Increase your delay setting to at least 3 seconds and use proxy rotation if available.
📌 메모: If none of these fix your issue, contact Web Scraper support for an answer to your specific problem.
What is Web Scraper?
웹 스크래퍼 is a web 스크래핑 도구 that lets you extract data from any website using your browser.
Think of it like a smart copy-paste tool for the entire web that organizes data into rows and columns.
이 간단한 개요를 시청하세요:
이 제품에는 다음과 같은 주요 기능이 포함되어 있습니다.
- Point-and-Click Interface: Build scrapers visually without writing python or any code
- Extract Data: Pull text, links, and image URLs from any web page automatically
- Handle JavaScript Sites: Scrape dynamic content that loads via JS or Ajax requests
- Customize Data: Clean, filter, and modify scraped output before saving
- Export Data: Download your results as CSV, XLSX, or JSON in one click
자세한 내용은 저희 웹사이트를 참조하세요. Web Scraper review.

Web Scraper Pricing
Here’s what Web Scraper costs in 2026:
| 계획 | 가격 | 가장 적합한 대상 |
|---|---|---|
| 무료 | 무료 | Casual users testing small scraping jobs |
| 프로젝트 | 월 40달러 | 프리랜서 running regular scrape tasks |
| 전문적인 | 월 80달러 | Teams needing multiple concurrent scrapers |
| 규모 | 월 167달러 | Agencies handling high-volume data extraction |
| 기업 | 관습 | Large businesses with custom scraping needs |
무료 등급: Yes — the browser extension is completely free with no time limit.
환불 보장: Contact support within 14 days for a refund on paid plans.

💰 최고의 가성비: Project plan — gives you cloud scraping and scheduled runs at the lowest price point.
Web Scraper vs Alternatives
How does Web Scraper compare? Here’s the competitive landscape:
| 도구 | 가장 적합한 대상 | 가격 | 평가 |
|---|---|---|---|
| 웹 스크래퍼 | Browser-based scraping | 무료+ | ⭐ 3.5 |
| 옥토파스 | 노코드 시각적 스크래핑 | 월 89달러 | ⭐ 4.3 |
| 파스허브 | Complex multi-level scrapes | 월 189달러 | ⭐ 4.2 |
| 스크래피 | Python developers at scale | 무료 | ⭐ 4.5 |
| 아피파이 | Cloud scraping with actors | 월 49달러 | ⭐ 4.4 |
빠른 추천:
- 종합 최고상: Web Scraper — free tier and easy browser extension for most users
- 최고의 가성비: Scrapy — completely free and open-source for python developers
- 초보자에게 가장 적합: Octoparse — drag-and-drop interface with built-in templates
- Best for cloud scraping: Apify — powerful actors and API access in the world of web scraping
🎯 Web Scraper Alternatives
Looking for Web Scraper alternatives? Here are the top options:
- 🚀 옥토파스: A no-code scraper with a visual workflow 건축업자, pre-built templates, and cloud service for businesses of all sizes.
- 💰 ParseHub: Handles complex sites with multi-level navigation and AJAX loading, great for users who need advanced data extraction without code.
- 🔧 스크래피: An open-source Python framework built for developers who want full control, beautiful soup integration, and large-scale scraping.
- ⚡ 아피파이: A cloud platform with a marketplace of ready-made scrapers and a flexible API for developers and teams worldwide.
전체 목록은 다음을 참조하세요. Web Scraper alternatives 가이드.
⚔️ Web Scraper Compared
Here’s how Web Scraper stacks up against each competitor:
- Web Scraper vs Octoparse: Web Scraper is free and browser-native; Octoparse offers more power with its desktop app and cloud tools for larger projects.
- Web Scraper vs ParseHub: ParseHub handles deeper site navigation; Web Scraper wins on price and simplicity for quick one-page scrapes.
- Web Scraper vs Scrapy: Scrapy gives developers full control via Python script; Web Scraper is better for non-coders who prefer a visual approach.
- Web Scraper vs Apify: Apify excels at cloud-based 오토메이션 and API access; Web Scraper is simpler for users who log into their browser and go.
Start Using Web Scraper Now
You learned how to use every major Web Scraper feature:
- ✅ Point-and-Click Interface
- ✅ Extract Data
- ✅ Handle JavaScript Sites
- ✅ Customize Data
- ✅ Export Data
다음 단계: 기능 하나를 선택해서 지금 바로 사용해 보세요.
Most people start with Point-and-Click Interface.
5분도 채 걸리지 않습니다.
자주 묻는 질문
Is Web Scraper free to use?
Yes. The Web Scraper browser extension is free. Paid cloud plans start at $40/month for scheduled scrapes and API access.
Can Web Scraper handle JavaScript-rendered pages?
Yes, but only on Web Scraper Cloud. The free browser extension does not execute JavaScript. Cloud plans support full JS rendering.
What formats can Web Scraper export data in?
Web Scraper lets you export data as CSV, XLSX, or JSON. Cloud users can also access data via API or webhook.
Do I need coding skills to use Web Scraper?
No. Web Scraper uses a point-and-click interface. You select elements visually — no Python, Beautiful Soup, or other code needed.
웹 스크래핑은 합법인가요?
Generally yes, for publicly available data. Always check the site’s robots.txt and terms of service. Avoid scraping personal or private data.













