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YouTube Channel Video & Shorts Scraper

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Pricing

from $3.99 / 1,000 results

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0.0

(0)

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ScraperX

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Monthly active users

12 hours ago

Last modified

YouTube Channel Video & Shorts Scraper (Apify Actor)

Scrapes long-form videos and/or Shorts from YouTube channel URLs using the same innertube browse flow as manual browsing: channel /about → browseId, then youtubei/v1/browse with pagination. Shorts are optionally enriched per-video (views, publish date, etc.) via individual Shorts page HTML.

Features

Input: one or more channel URLs or @handles (bulk).
Scrape modes: videos, shorts, or both.
Video date filter: keep videos published on or after endDate through today (same semantics as the original End_date field).
Proxy escalation (Apify): starts direct → on block, datacenter (SHADER) → residential (RESIDENTIAL), with up to 3 retries on residential; after switching to residential, all following requests use residential for that run.
Output: one dataset item per video/short; fields match the original JSON shape plus contentType (video | short) and channelUrl.

Input

Field	Type	Description
`urls`	array	Channel URLs, e.g. `https://www.youtube.com/@mrbeast` or `{ "url": "..." }`
`scrapeType`	string	`videos` \| `shorts` \| `both` (default `both`)
`endDate`	string	Datepicker (absolute `YYYY-MM-DD` or relative e.g. `3 months`, `2 weeks` from today). Inclusive start of range for videos.
`maxResults`	integer	Max items per channel (1–500, default 50)
`proxyConfiguration`	object	Apify proxy UI (fallback uses Apify proxy groups when needed)

Shorts detail enrichment uses a fixed concurrency of 10 parallel requests (same as the original script).

Output (per row)

author_name, video_title, publish_time, view_count, video_duration, video_url, cover_image_url, video_id
contentType: video or short
channelUrl: input channel URL used for this row

Logs & dataset (real-time)

Logs show high-level steps (connect → load → collect) and each row as it is written, with a short title preview — no internal API or implementation details.
Dataset: each video or short is push_data’d as soon as it is ready, so the Apify Output table updates during the run, not only at the end.

Local run

pip install -r requirements.txt
# Set storage root (folder must contain key_value_stores/default/INPUT.json)
set APIFY_LOCAL_STORAGE_DIR=storage   # Windows; use export on Linux/macOS
python -m src

Save INPUT.json as UTF-8 without BOM (some editors add BOM and Apify’s local parser rejects it).

Build

$apify push

Docker: Dockerfile uses apify/actor-python and CMD ["python", "-m", "src"].

Legal

Only public channel data. You are responsible for compliance with YouTube’s Terms of Service and applicable laws.

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