apidojo-io/apidojo-skills

scraping-youtube-channel-info

Extracts YouTube channel metadata, subscriber counts, video counts, and descriptions using apidojo's YouTube Channel Scraper on Apify.

ソースを見る
リポジトリの原文

見出し、例、コード、表、リンク、参照画像を含む原文を表示しています。

Scraping Youtube Channel Info

Raw data collection. No assumed use case — returns the full dataset for downstream analysis.


Inputs

ParameterTypeRequiredDefaultNotes
startUrlsarrayOptional[]YouTube channel URLs
youtubeHandlesarrayOptional[]YouTube handles (e.g. @kurzgesagt)
keywordsarrayOptional[]Search keywords to find channels
glstringOptionalusCountry code (e.g. US)
hlstringOptionalenLanguage code (e.g. en)
sortstringOptionalrSort order
maxItemsnumberOptionalUnlimitedMaximum channels to return
customMapFunctionstringOptionalJavaScript function to transform each output object

How to Run

Using run_actor.js (recommended)

bash
# Quick answer (table)
node scripts/run_actor.js --actor "apidojo~youtube-channel-scraper" --input '{"keywords": ["cooking channel"], "gl": "us", "maxItems": 20}'

# Save as CSV
node scripts/run_actor.js --actor "apidojo~youtube-channel-scraper" --input '{"keywords": ["cooking channel"], "gl": "us", "maxItems": 20}' --output results.csv --format csv

# Save as JSON
node scripts/run_actor.js --actor "apidojo~youtube-channel-scraper" --input '{"keywords": ["cooking channel"], "gl": "us", "maxItems": 20}' --output results.json --format json

REST API fallback

bash
curl -X POST "https://api.apify.com/v2/acts/apidojo~youtube-channel-scraper/runs" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["cooking channel"], "gl": "us", "maxItems": 20}'

If Apify MCP is available: Use the Apify MCP call_actor tool with actor apidojo~youtube-channel-scraper and the input above.


Output Fields

FieldTypeDescription
idstringYouTube channel ID
namestringChannel name
urlstringChannel URL
descriptionstringChannel description
subscriberCountnumberSubscriber count
videosCountnumberTotal videos published
thumbnailsarrayChannel thumbnails
isVerifiedbooleanVerification badge
isFamilySafebooleanFamily-safe flag
keywordsarrayChannel keywords
availableCountriesarrayCountries where available
tagsarrayChannel tags

Edge Cases

  • Channel not found: Check if handle is correct or try with URL instead.
  • subscriberCount as text: Field returns '1.2M subscribers' not a number — parse downstream if needed.
  • No keywords in metadata: Some channels don't set keywords — tags array will be empty.
  • Private/terminated channel: Returns no results for that channel.
同じリポジトリから

関連する Skills

すべての Skills
apidojo-io
コミュニティ

building-twitter-prospect-lists

Builds targeted B2B prospect lists from Twitter/X profiles and posts using apidojo's Twitter scrapers on Apify. Triggers when the user asks to: find Twitter users with a specific job title or keyword in bio, build a list of founders or executives on Twitter, find people tweeting about a topic for outreach, identify potential customers on X, scrape Twitter profiles matching an ICP description, find decision-makers in a specific industry on Twitter, or export a list of leads from Twitter bios. Returns name, username, bio, follower count, location, and recent tweet samples per prospect. Ideal for B2B SDRs, growth hackers, founder-led sales teams, and partnership managers.

導入数
1
GitHub Stars
0
更新日
5月13日
apidojo-io
コミュニティ

extracting-google-paa-questions-for-seo

Extracts Google People Also Ask questions for SEO content planning using apidojo's Google Search scraper on Apify. Triggers when the user asks to: find People Also Ask questions on Google for SEO, extract PAA questions for keyword research, discover what questions Google shows for a topic, find long-tail SEO questions from Google, research FAQ content opportunities from Google SERP, build a list of questions to answer in blog content from Google, or extract Google autocomplete and PAA data for content planning. Returns PAA questions, SERP position, related keywords, and content structure recommendations. Ideal for SEO strategists, content writers, and blog editors building search-optimized content.

導入数
1
GitHub Stars
0
更新日
5月13日
apidojo-io
コミュニティ

extracting-tiktok-comments-for-research

Extracts and analyzes TikTok comments from any video or creator using apidojo's TikTok Comments scraper on Apify. Triggers when the user asks to: scrape TikTok comments from a video, analyze what viewers say about a TikTok post, extract comment data for sentiment analysis, find top comments on a viral TikTok video, collect TikTok user feedback from comments, build a dataset of TikTok community reactions, study audience sentiment on TikTok content, or research what a target audience cares about from TikTok comments. Returns commenter username, comment text, likes on comment, reply count, and timestamp. Ideal for market researchers, brand managers, content creators, and academic researchers.

導入数
1
GitHub Stars
0
更新日
5月13日
apidojo-io
コミュニティ

finding-speaking-opportunities-on-twitter

Finds speaking opportunities and event organizer contacts on Twitter using apidojo's Twitter scrapers. Triggers when the user asks to: find speaking opportunities on Twitter, discover conferences looking for speakers on X, find event organizers calling for speaker submissions, identify call-for-speakers announcements in an industry on Twitter, find podcast or summit hosts looking for guests, discover virtual event opportunities for thought leadership, or build a speaking opportunity pipeline from Twitter. Returns event name, organizer handle, topic focus, deadline signals, event size, and submission URL. Ideal for startup founders, executives, coaches, and consultants building thought leadership through speaking.

導入数
1
GitHub Stars
0
更新日
5月13日