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Scale Your AI Projects with Comprehensive YouTube Data

Find targeted videos, channels, and playlists
Retrieve high-quality video and audio content
Get transcripts in 156 languages
Enrich your data with comprehensive metadata
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Advanced YouTube Data Platform

Search, capture, and enhance large-scale, multimodal YouTube data tailored for enterprise needs

YouTube Search

Relevant videos, channels & playlists

Up to 700 results per query

Real-time & batch processing

Documentation

YouTube Downloader

Video & audio in high- quality formats

Results delivered straight to your cloud storage

Fully-automated batch downloads

Documentation

YouTube Metadata

Titles, views, tags, and engagement metrics

Structured, Al-ready data

Real-time, large-scale data

Documentation

Access YouTube data instantly

YouTube Search
YouTube Downloader
YouTube Metadata

Search YouTube with Precision

Submit a query using youtube_search for standard results or youtube_search_max for extended results. Apply optional filters to refine your search and receive structured JSON output.

Refer to the code sample on the right for the response format.

See Documentation 

import requests

params = {
    "engine": "youtube", 
    "search_query": "Coffee", 
    "fetch_mode": "static", 
    
}
response = requests.get("https://serpapi.abcproxy.com/searchTest", params=params)
print(response.json())
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Download YouTube Video and Audio at Scale

Submit a list of YouTube video IDs and define your cloud storage destination. The system automatically handles the download process, returning job status and confirmation with minimal setup required.

See Documentation 

import http.client
import json

conn = http.client.HTTPSConnection("https://dlapi.abcproxy.com")
payload = json.dumps({
   "video_ids": [
          "rvoLcWY71xA", 
          "groql5Ch2Dg", 

   ],
   "api_key": "***************",
   "storage_type": "default",
   "storage_url": ""
})
headers = {
   'Content-Type': 'application/json'
}
conn.request("POST", "/download/create/batch", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))
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Extract Video Metadata

Submit a YouTube video ID to the youtube_metadata source to extract detailed video metadata. Set the parse parameter to true for accurate data processing. Receive structured metadata in JSON format.

Refer to the output code sample on the right for more details.

See Documentation 

import requests

params = {
    "engine": "youtube_video", 
    "v": "vFcS080VYQ0", 
    "fetch_mode": "static", 
    
}
response = requests.get("https://serpapi.abcproxy.com/searchTest", params=params)
print(response.json())
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Leverage a Maintenance-Free Scraping Infrastructure

Our AI-powered web data collection platform is ready for immediate use.

No need to build or maintain scrapers and browsers

Effortlessly bypass anti-scraping systems

Focus your resources on data analysis, not infrastructure

Why Choose ABCProxy for Web Scraping
ABCPROXY provides the top web scraping proxy services in the industry

Receive AI-Ready Outputs

We provide structured, AI-compatible data, ensuring that YouTube videos, transcripts, metadata, and search results are optimized for seamless integration into LLMs, AI models, and analytics workflows.

Optimized for AI & ML applications

Effortless integration with LLMs

Scalable and automated solutions

Frequently asked questions

What is Scraper API for YouTube?
It's a tool designed to extract data from YouTube videos, channels, and playlists, enabling easy access to video content, transcripts, metadata, and more.

How does the Scraper API work?
The API allows users to submit YouTube video IDs, keywords, or other parameters to fetch video data, including metadata, transcripts, and more, in a structured format.

How do I get video transcripts using the Scraper API?
Simply provide the YouTube video ID and language code to the API to retrieve either uploader-provided or auto-generated transcripts.

Is the Scraper API suitable for large-scale data collection?
Yes, it is highly scalable and can handle large volumes of data extraction from YouTube.

Does the Scraper API support multiple languages?
Yes, you can access transcripts and metadata in multiple languages, enabling global data collection.
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