scrapernode
  • All Platforms
  • Use Cases
  • Categories
  • Data Points
  • How-To Guides
  • Integrations
  • Compare
Platforms
  • LinkedInLinkedIn5
  • Google MapsGoogle Maps2
  • InstagramInstagram4
  • TikTokTikTok8
  • XTwitter/X2
  • YouTubeYouTube3
  • FacebookFacebook10
  • Jobs
  • Billing
  • Docs
  • Settings

© 2026 Scrapernode

scrapernode
PlatformsUse CasesHow-ToJobsBilling
ScrapeLinkedInLinkedInprofiles by search term
Scrape LinkedIn profiles by search term. Extract Google Maps business listings and reviews. Collect Facebook pages, groups and posts. Scrape Instagram profiles, reels and comments. Extract TikTok posts and creator profiles. Collect YouTube channels and video data. Scrape X / Twitter profiles and posts. Extract Indeed job listings and salaries. Collect Yelp business reviews and ratings.
Home/Integrations/How to Scrape YouTube Videos into n8n
YouTuben8n

How to Scrape YouTube Videos into n8n

Extract videos data from YouTube and send to n8n automatically

Step-by-step guide

1

Choose the YouTube Videos scraper

Navigate to the YouTube Videos scraper in Scrapernode. Select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 1 credit.

2

Set up your n8n connection

Install the Scrapernode community node from the n8n node library, or use the generic Webhook trigger node with your Scrapernode webhook URL. Configure the workflow to process incoming scraper data.

3

Provide your YouTube input URLs

Paste the YouTube URLs you want to scrape — one per line, or upload a CSV. Scrapernode accepts direct profile links, search result URLs, and content pages.

4

Launch the scraping job

Click "Start Extraction" to begin. Scrapernode handles proxy rotation, rate limiting, and anti-bot detection automatically. Jobs typically complete in under 60 seconds per batch.

5

Receive data in n8n

When the job completes, Scrapernode sends the full results to your n8n workflow. Each record includes 43 fields like url, title, youtuber, youtuber_md5. Route the data to any downstream app — CRMs, databases, email tools, and more.

Cost per record

1 credit

Output fields

43 fields

Destination

n8n

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5
Url
sample_url
Title
How We Scaled to 1M Users
Youtuber
Fireship
Youtuber Md5
sample_youtuber_md5
Video Url
sample_video_url
Video Length
0:47
Likes
34,108
Views
344,860
Date Posted
2025-12-15
Description
Enterprise-grade data pipeline platform with real-time processing and 99.99% uptime SLA.
Num Comments
135
Subscribers
330,800
Music
sample_music
Video Id
sample_video_id
Channel Url
sample_channel_url
Preview Image
sample_preview_image
Discovery Input
sample_discovery_input
Shortcode
sample_shortcode
Verified
Yes
Handle Name
sample_handle_name
Avatar Img Channel
sample_avatar_img_channel
Is Sponsored
Yes
Related Videos
sample_related_videos
License
sample_license
Viewport Frames
sample_viewport_frames
Current Optimal Res
sample_current_optimal_res
Codecs
sample_codecs
Color
sample_color
Quality
sample_quality
Quality Label
sample_quality_label
Post Type
sample_post_type
Youtuber Id
sample_youtuber_id
Transcript
sample_transcript
Formatted Transcript
sample_formatted_transcript
Hashtags
#buildinpublic#startup#engineering
Tags
sample_tags
Next Recommended Videos
sample_next_recommended_videos
Recommended Videos
sample_recommended_videos
Transcript Language
sample_transcript_language
Chapters
sample_chapters
Transcription Language
sample_transcription_language
Is Age Restricted
Yes
Channel Url Decoded
sample_channel_url_decoded

Data Dictionary

43 fields returned per record

URL of the YouTube video (100.00% fill rate)

Title of the YouTube video (100.00% fill rate)

Username or channel name of the YouTuber who uploaded the video (99.99% fill rate)

MD5 hash of the youtuber field (58.74% fill rate)

Web address of the YouTube video (73.12% fill rate)

Duration of the video (100.00% fill rate)

Number of likes received by the video (79.33% fill rate)

Number of views the video has received (99.99% fill rate)

Date when the video was published (100.00% fill rate)

Text description accompanying the video (76.66% fill rate)

Number of comments on the video (36.21% fill rate)

Number of subscribers to the YouTube channel (99.28% fill rate)

Information about the music used in the video (9.60% fill rate)

Sub-fields

songTextThe title of the song used in the video
artistTextThe artist or composer of the song
licensesArrayInformation about the licenses or rights associated with the music

Unique identifier for the YouTube video (100.00% fill rate)

Web address of the YouTube channel (100.00% fill rate)

URL of the preview image for the video (81.51% fill rate)

Discovery input values (1.25% fill rate)

Sub-fields

keywordTextSearch keyword used for discovery

The shortcode associated with the YouTube short video (100.00% fill rate)

Indicates whether the channel is verified (100.00% fill rate)

The handle or unique identifier associated with the YouTube channel (99.80% fill rate)

The URL of the avatar image of the YouTube channel (99.80% fill rate)

Indicates whether the video is sponsored (39.48% fill rate)

List of related video URLs (82.93% fill rate)

Creative Commons Attribution license (1.15% fill rate)

Viewports / frames from video stats (99.92% fill rate)

Current / Optimal resolution from video stats (99.92% fill rate)

Codecs from video stats (99.92% fill rate)

Color from video stats (79.92% fill rate)

Video quality (99.93% fill rate)

Video quality label (99.92% fill rate)

The type of the post (58.74% fill rate)

YouTuber unique identifier (58.74% fill rate)

Transcript of the video (24.74% fill rate)

Formatted transcript with timestamps (24.34% fill rate)

Sub-fields

start_timeNumberStart time in seconds
end_timeNumberEnd time in seconds
durationNumberDuration of the transcript segment
textTextTranscript text content

Hashtags associated with the video (13.14% fill rate)

Sub-fields

hashtagTextHashtag text
linkTextURL link to the hashtag page

Tags of the video (31.85% fill rate)

Next recommended videos (10.40% fill rate)

Sub-fields

urlTextURL of the recommended video
titleTextTitle of the recommended video
thumbnailTextThumbnail URL of the recommended video
startMsNumberStart time in milliseconds
endMsNumberEnd time in milliseconds
styleTextDisplay style of the recommendation

Recommended videos (58.36% fill rate)

Sub-fields

urlTextURL of the recommended video
titleTextTitle of the recommended video
thumbnailTextThumbnail URL of the recommended video

Available transcript languages (38.81% fill rate)

Sub-fields

languageTextLanguage of the transcript
auto_translateBooleanWhether the transcript is auto-translated

Video chapters (0.91% fill rate)

Sub-fields

titleTextTitle of the chapter
time_stampTextTimestamp of the chapter
imageTextThumbnail image URL for the chapter

The video's transcription language (6.42% fill rate)

Whether the video is age-restricted (42.37% fill rate)

Channel URL decoded (38.84% fill rate)

Frequently Asked Questions

Common questions about How to Scrape YouTube Videos into n8n

Ready to connect YouTube data to n8n?

Start extracting youtube videos data and send to n8n in minutes.

Go to YouTube Videos scraperBrowse all integration guides
No code requiredAuto-delivery to n8n43 data fields