Guides / Scrape YouTube
How to Scrape YouTube in 2026
YouTube is a JavaScript single-page application with aggressive anti-bot detection and dynamically loaded content. Channel pages, video listings, and metadata all require full browser rendering to access. With Browser7, you get fully rendered YouTube pages in a single API call.
What makes YouTube hard to scrape
JavaScript single-page application
YouTube is built entirely as a JavaScript SPA. A simple HTTP request returns a minimal HTML shell with no video data, no channel info, and no listings. You need a real browser that executes JavaScript to get any useful content.
Anti-bot detection
Google uses sophisticated browser fingerprinting and behavioral analysis across all its properties, including YouTube. Automated browsers are detected through canvas fingerprinting, WebGL checks, and navigation pattern analysis.
Dynamic content loading
Video listings, comments, and channel data load dynamically as the user scrolls. The initial page load only includes a subset of the available content, with more fetched via internal API calls as needed.
Scrape a YouTube channel page
Browser7 handles proxy rotation, browser fingerprinting, CAPTCHA solving, and JavaScript rendering automatically. This example renders the MrBeast channel page and returns the fully rendered HTML with channel info and video listings.
from browser7 import Browser7
client = Browser7(
api_key="b7_your_api_key",
base_url="https://ca-api.browser7.com/v1"
)
result = client.render(
"https://www.youtube.com/@MrBeast",
country_code="US",
)
print(result.html)That is the complete code. No proxy configuration, no browser setup, no CAPTCHA handling logic. The response contains the fully rendered HTML of the YouTube channel page, including video titles, thumbnails, and metadata.
Data you can extract
The rendered HTML contains all the data YouTube shows to a real visitor on channel pages. Common data points to extract:
Channel info
- Channel name and handle
- Subscriber count
- Total video count
- Channel description
- Channel banner and avatar URLs
Video details
- Video title
- Video URL and ID
- Thumbnail URL
- Video duration
- Upload date
Engagement
- View count per video
- Like count (when visible)
- Comment count
- Subscriber milestones
- Community post interactions
Metadata
- Channel join date
- Country of origin
- Channel links and social media
- Featured channels
- Playlist information
Complete example: render and parse channel data
Here is a complete example that renders a YouTube channel page and extracts structured data from the HTML. The Python example uses BeautifulSoup, Node.js uses Cheerio, and PHP uses DOMDocument - the standard HTML parsing approach for each language.
from browser7 import Browser7
from bs4 import BeautifulSoup
import json
import re
client = Browser7(
api_key="b7_your_api_key",
base_url="https://ca-api.browser7.com/v1"
)
result = client.render(
"https://www.youtube.com/@MrBeast",
country_code="US",
)
soup = BeautifulSoup(result.html, "html.parser")
channel = {
"name": None,
"subscribers": None,
"videos": [],
}
# Channel name from title
title = soup.find("title")
if title:
channel["name"] = title.get_text(strip=True).replace(" - YouTube", "")
# Subscriber count via regex
match = re.search(r'([\d.]+[MKBmkb]?)\s*subscribers', result.html, re.I)
if match:
channel["subscribers"] = match.group(1)
# Video titles and URLs
for el in soup.select("a#video-title"):
href = el.get("href", "")
channel["videos"].append({
"title": el.get_text(strip=True),
"url": f"https://www.youtube.com{href}" if href.startswith("/") else href,
})
print(json.dumps(channel, indent=2))CSS selectors may change if YouTube updates their page structure. Inspect the current page if any fields return null.
Sample output:
{
"name": "MrBeast",
"subscribers": "358M",
"videos": [
{
"title": "I Survived 7 Days In An Abandoned City",
"url": "https://www.youtube.com/watch?v=example1"
},
{
"title": "$1 vs $1,000,000 Hotel Room!",
"url": "https://www.youtube.com/watch?v=example2"
},
...
]
}Extract recent videos
YouTube channel pages display recent uploads on the main tab. You can extract video titles and URLs from the rendered HTML to build a feed of the latest content from any channel.
from browser7 import Browser7
from bs4 import BeautifulSoup
import json
client = Browser7(
api_key="b7_your_api_key",
base_url="https://ca-api.browser7.com/v1"
)
result = client.render(
"https://www.youtube.com/@MrBeast",
country_code="US",
)
soup = BeautifulSoup(result.html, "html.parser")
videos = []
for el in soup.select("a#video-title"):
href = el.get("href", "")
videos.append({
"title": el.get_text(strip=True),
"url": f"https://www.youtube.com{href}" if href.startswith("/") else href,
})
print(json.dumps(videos[:10], indent=2))Take a screenshot of a channel page
Capture YouTube channel pages as images for competitive analysis dashboards, content monitoring reports, or archiving channel layouts over time.
import base64
from browser7 import Browser7
client = Browser7(
api_key="b7_your_api_key",
base_url="https://ca-api.browser7.com/v1"
)
result = client.render(
"https://www.youtube.com/@MrBeast",
country_code="US",
block_images=False,
include_screenshot=True,
screenshot_full_page=True,
screenshot_format="png"
)
# Save the screenshot
with open("youtube-channel.png", "wb") as f:
f.write(base64.b64decode(result.screenshot))
print("Screenshot saved")What this costs
Every YouTube page render costs $0.01 - the same as any other website. Residential proxies, JavaScript rendering, CAPTCHA solving, and screenshots are all included. There are no per-domain surcharges, no credit multipliers, and no bandwidth fees.
10,000 YouTube channel pages costs $100. You know this before you start, not after.