YouTube Intelligence & Transcript Scraper (with AI Insights)
DeprecatedPricing
from $4.00 / 1,000 scrape onlies
YouTube Intelligence & Transcript Scraper (with AI Insights)
DeprecatedThe all-in-one YouTube scraper that extracts full transcripts, viewer comment sentiment, creator contact emails, commercial sponsorships, video chapters, and AI-powered intelligence โ all in a single run.
Pricing
from $4.00 / 1,000 scrape onlies
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Aytada Intelligence
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๐ YouTube Intelligence & Transcript Scraper (with AI Insights & Sponsorships)
The all-in-one YouTube scraper that extracts full transcripts, viewer comment sentiment, creator contact emails, commercial sponsorships, video chapters, and AI-powered intelligence โ all in a single run.
Stop wasting hours watching lengthy videos or parsing raw transcripts manually. Whether you are conducting competitor research, hunting for influencer marketing leads, tracking brand sentiment, or summarizing podcasts, this Actor turns any YouTube video into structured, actionable intelligence.
๐ Why This Actor Beats Traditional YouTube Scrapers
| Feature | Standard YouTube Scrapers | This Actor |
|---|---|---|
| Full Timed Transcripts | โ ๏ธ Often breaks or blocked | โ Dual-engine (XML + Playwright DOM fallback) |
| Videos Without Captions | โ Fails with error | โ Zero-Failure Fallback (extracts comments & metadata) |
| AI Content Intelligence | โ None | โ Gemini 3.8 Flash (Summaries, Genre, Tone, Topics) |
| Target Entity Tracking | โ None | โ Track custom people/brands with Yes/No & quotes |
| Commercial & Ad Deals | โ None | โ Detects sponsors, promo codes, URLs & storefronts |
| Audience Sentiment | โ None or basic text dump | โ Weighted sentiment score based on comment likes |
| Lead Generation | โ None | โ Extracts verified emails & social channels |
| Video Duration & Dates | โ ๏ธ Inconsistent strings | โ Formatted durations, seconds, & exact ISO dates |
| Interactive Chapters | โ Missing | โ Full markers with start seconds & timestamps |
| Pricing Model | ๐ฐ Flat fee / High compute | ๐ Pay-Per-Event ($0.005 scrape / $0.015 AI) |
โก Core Features & Capabilities
๐๏ธ 1. Bulletproof Transcript & Caption Extraction
- Extracts full, timestamped captions in your preferred language code (
en,es,fr,de, etc.). - Returns both structured segment arrays (
start,text) and a merged plain-text transcript (transcriptMerged). - Built with a resilient dual-layer architecture: tries high-speed native player XML first, falling back to dynamic Playwright DOM density heuristics.
๐ค 2. Deep AI Video Analysis (Gemini 3.8 Flash)
- Executive Summary: High-impact 2โ3 sentence overview of the video's core focus and takeaways.
- Classification & Taxonomy: Automatically identifies primary
videoType(Podcast, Interview, Tutorial, Comedy, Sports) and specificgenre/ sub-genres. - Emotional Dynamics & Tone: Detects dominant emotional tone, atmosphere, and rates Anger Level (
None,Low,Moderate,High). - Target Audience & Safety: Evaluates viewer demographics, content maturity/safety ratings, and spoken accents/dialects.
- Valuable Insights: Highlights standout quotes, hook strength, viral drivers, and viewer appeal.
๐ฏ 3. Custom Target Entity & Brand Mention Verification
- Pass a list of target entities (e.g.
["Tesla", "Rowan Atkinson", "Notion", "Shopify"]). - For every entity, the Actor produces:
- Mention Status: Clear Boolean (
Yes/No). - Mention Type:
Primary Subject,Direct Spoken Reference,Guest / Featured Person,Critical Discussion,Praise / Endorsement,Casual Reference, orSponsor / Ad. - Sentiment & Context: Evaluates how the entity was spoken about (Positive, Negative, Neutral, Mixed).
- Direct Evidence Quote: Exact line from spoken dialogue, description, or top comments.
- Mention Status: Clear Boolean (
๐ผ 4. Commercial & Sponsorship Intelligence
- Paid Sponsorship Detection: Distinguishes between genuine commercial partnerships (host-read ads, sponsor shoutouts) and casual, organic product mentions.
- Sponsor Dossier: Extracts brand name, product/service promoted, sponsorship placement type, promo codes, discount URLs, and host ad-read quotes.
- Native Badges: Detects YouTube's official
"Includes paid promotion"indicator. - Creator Storefronts & Merch: Identifies links to Shopify, Teespring, Patreon, Fourthwall, BuyMeACoffee, and donation pages.
๐ฌ 5. Audience Reception & Weighted Comment Sentiment
- Scrapes top comments (up to 100, configurable) along with middle vote/like counts and creator engagement badges (
PINNED,CREATOR HEART). - Calculates a Normalized Audience Sentiment Score (scale
-1.0to+1.0) weighted by comment upvotes. - Summarizes consensus themes, praise points, critical pushback, and audience mood.
๐ง 6. Influencer Outreach & Lead Generation
- Automatically scans channel descriptions for verified business inquiry email addresses.
- Categorizes all external social profiles (Twitter/X, Instagram, TikTok, LinkedIn, Discord, Spotify, Telegram).
๐ 7. Chapters & Timestamp Navigation
- Extracts all video markers and chapters with titles, formatted timestamps (
12:45), and exact starting seconds (765).
๐ก๏ธ 8. Zero-Failure Non-Captioned Video Fallback
- If a video lacks captions (e.g. music videos, silent tutorials, animations, or uncaptioned live streams), the Actor does not fail.
- It extracts all metadata, duration, dates, chapters, channel links, and viewer comments.
- When AI analysis is enabled, Gemini deduces video content, topics, entities, and sentiment directly from the available textual data!
๐ฏ Ideal Use Cases
- ๐ Competitor & Market Intelligence: Track brand mentions, monitor competitor announcements, and analyze viewer sentiment in comments.
- ๐ค Influencer Marketing & Sponsorship Sourcing: Find creator business emails, see which brands are sponsoring channels in your niche, and track promo codes.
- ๐ข Brand Reputation & PR Crisis Tracking: Detect audience backlash, evaluate anger levels in comments, and track brand sentiment over time.
- ๐ Research, Education & Content Summarization: Turn 2-hour podcasts, keynote speeches, or tutorials into concise executive briefs and key quotes in seconds.
- ๐ SEO & Trend Identification: Discover high-performing video topics, viral hooks, and viewer questions from YouTube search queries.
โ๏ธ Input Configuration
The actor can be configured using simple JSON or the Apify Console UI:
| Field | Type | Default | Description |
|---|---|---|---|
runMode | String | "discover" | Required. Operating mode: "discover" (search YouTube) or "scrape" (scrape specific video IDs). |
discoverConfig | Object | {} | Settings for Discover Mode (search queries, filters, limits). |
scrapeConfig | Object | {} | Settings for Scrape Mode (list of video IDs). |
lang | String | "en" | Preferred language code for transcript extraction (en, es, fr, etc.). |
enableAnalysis | Boolean | true | Enable AI video analysis using Gemini 3.8 Flash (OpenRouter). |
maxComments | Integer | 30 | Number of top comments to scrape and analyze (0 to 100). Set to 0 to skip comments. |
targetEntities | Array | [] | List of specific people, brands, companies, or topics to verify for mentions. |
[!NOTE] No API Key Setup Required: The OpenRouter AI integration is pre-configured in the Apify Actor environment. You do not need to provide your own API key.
discoverConfig Settings (Discover Mode)
Find videos on YouTube automatically using keyword search and powerful filters:
| Field | Type | Default | Description |
|---|---|---|---|
searchQueries | Array | ["rugby highlights"] | Required. List of search terms to find videos. The actor uses the first term. |
searchCategory | String | "Sport" | Optional category keyword to append ("Sport", "News", "Music", "Gaming", "Education", or ""). |
uploadDate | String | "" | Filter by upload date: "Hour", "Today", "This week", "This month", "This year". |
videoDuration | String | "" | Filter by duration: "Short (<4 mins)", "Medium (4โ20 mins)", "Long (>20 mins)". |
maxResultsPerQuery | Integer | 5 | Maximum number of videos to discover and scrape. |
scrapeConfig Settings (Scrape Mode)
Scrape an explicit list of YouTube videos directly:
| Field | Type | Default | Description |
|---|---|---|---|
videoIDs | Array | ["xZCbAki4puY"] | Required. Array of YouTube video IDs or full URLs (e.g. "xZCbAki4puY" or "https://youtu.be/xZCbAki4puY"). |
๐ Input Examples
Example 1: Discover Mode with Duration Filter & Target Entity Tracking
{"runMode": "discover","discoverConfig": {"searchQueries": ["artificial intelligence podcast"],"uploadDate": "This month","videoDuration": "Long (>20 mins)","maxResultsPerQuery": 3},"enableAnalysis": true,"maxComments": 40,"targetEntities": ["OpenAI", "Anthropic", "Google", "DeepMind"],"lang": "en"}
Example 2: Scrape Specific Video IDs with Sponsorship & Lead Extraction
{"runMode": "scrape","scrapeConfig": {"videoIDs": ["https://www.youtube.com/watch?v=IkhmdTqSvJw","TTZi27cPRsg"]},"enableAnalysis": true,"maxComments": 50,"targetEntities": ["Eric Weinstein", "Pentagon", "David Grusch"]}
๐ Target Entity Tracking Output Example
When you pass targetEntities: ["Rowan Atkinson", "Tesla"], the Actor evaluates each entity with surgical precision:
[{"entity": "Rowan Atkinson","mentioned": true,"mentionedStatus": "Yes","mentionType": "Primary Subject","sentiment": "Positive","context": "Main focus of the video celebrating his iconic comedic timing and legendary perfectionism on set.","evidenceOrQuote": "Rowan Atkinson was an absolute perfectionist who crafted every gesture meticulously."},{"entity": "Tesla","mentioned": false,"mentionedStatus": "No","mentionType": "Not Mentioned","sentiment": "N/A","context": "Entity was not mentioned in the dialogue, description, chapters, or top viewer comments.","evidenceOrQuote": ""}]
๐ฆ Output Dataset Structure
Results are stored in the default dataset and viewable directly in the Storage / Output tab as tables, JSON, or CSV:
| Field | Type | Description |
|---|---|---|
videoId | String | Unique YouTube video identifier (e.g. IkhmdTqSvJw). |
title | String | Full title of the YouTube video. |
channel | String | Channel name. |
subscribers | String | Channel subscriber count (e.g. "2.4M subscribers"). |
views | String | Total view count (e.g. "6,480,565 views"). |
likes | String | Total like count (e.g. "31K"). |
videoDuration | String | Formatted duration (e.g. "1:02:05" or "3:33"). |
videoDurationSeconds | Integer | Total duration in integer seconds (e.g. 3725). |
uploadDate | String | Video upload timestamp (exact ISO timestamp or formatted date). |
commentsCount | String | Total count of comments reported on YouTube. |
scrapedCommentsCount | Integer | Number of top comments scraped and analyzed for this video. |
commentSentimentOverall | String | Audience consensus sentiment (e.g. "Overwhelmingly Positive", "Critical / Divided"). |
commentSentimentScore | String | Normalized audience score (e.g. "+0.85", scale -1.0 to +1.0). |
commentSentimentSummary | String | 2โ3 sentence executive summary of viewer discussion and consensus. |
commentsSentiment | String | Detailed JSON object with % breakdown, key liked themes, and representative quotes. |
description | String | Full, clean YouTube video description. |
hasSpeech | Boolean | Whether spoken dialogue/speech was detected in the video or transcript. |
hasPaidSponsorship | Boolean | Whether commercial sponsorships or paid ads were detected. |
paidPromotionBadge | Boolean | Whether YouTube's native "Includes paid promotion" overlay is active. |
sponsors | String | JSON array of sponsors (brand, product, placement type, promo code, URL, quotes). |
contactEmails | String | Verified creator contact email addresses extracted from description. |
socialLinks | String | JSON object of categorized social profiles (Twitter, Instagram, TikTok, LinkedIn, Discord). |
shopAndMerch | String | JSON object of storefront and donation links (Shopify, Teespring, Patreon, etc.). |
commercialIntelligence | String | Full commercial dossier detailing sponsorships, organic mentions, and monetization. |
hasChapters | Boolean | Whether the video contains chapter timestamps. |
chaptersCount | Integer | Total number of chapters detected. |
chapters | String | JSON array of video chapters (title, time, startSeconds). |
videoType | String | AI Classification (e.g. "Podcast", "Documentary", "Comedy Compilation"). |
genre | String | AI Genre and sub-genres. |
sentiment | String | Overall narrative sentiment. |
emotionalTone | String | Dominant verbal and emotional tone (e.g. "Analytical debate", "Lighthearted"). |
angerLevel | String | Hostility / anger rating ("None", "Low", "Moderate", "High"). |
positiveMentions | String | JSON array of people, products, or things praised or spoken about favorably. |
negativeMentions | String | JSON array of people, products, or things criticized or spoken about unfavorably. |
entitySentimentAnalysis | String | Granular breakdown of each entity: sentiment, manner of discussion, and quotes. |
targetEntitiesSummary | String | Quick summary of target entity check (`"Rowan Atkinson: Yes |
targetEntityMatches | String | Complete JSON array evaluating every target entity with full verification details. |
summary | String | AI Executive Summary of the video content. |
people | String | JSON array of featured people (name, role, category, context). |
entities | String | Categorized entities (people, companies, products, places, institutions). |
keyTopics | String | JSON array of key topics and core themes discussed. |
targetAudience | String | Intended audience demographic and interest profile. |
contentSafety | String | Content safety rating and maturity observations. |
languageAndDialect | String | Primary spoken language and dialect/accent. |
valuableInsights | String | Standout highlights, quotes, hook strength, and virality factors. |
analysis | String | Complete structured Gemini AI analysis in JSON format. |
transcriptMerged | String | Full merged transcript text block. |
comments | String | JSON array of scraped comment objects (author, text, likes, likeCount, pinned, hearted). |
_chargeStatus | String | Transparent status of Pay-Per-Event charges for this video. |
error | String | Error message if scraping failed (or empty if successful). |
๐ฐ Transparent Pay-Per-Event (PPE) Pricing
This Actor utilizes Apify's Pay-Per-Event (PPE) pricing model. You never pay high flat fees or waste credits on failed runs. You pay only for what you successfully retrieve:
| Event Name | Event Title | Price | Description |
|---|---|---|---|
video-data-retrieved | Video Data Retrieved | $0.005 / video | Charged per video when metadata, duration, dates, captions/transcript (if available), chapters, and comments (if requested) are successfully scraped. |
ai-video-analysis | AI Video Analysis | $0.015 / video | Charged per video when AI analysis is enabled (enableAnalysis: true) and successfully extracts deep intelligence (summary, sentiment, entities, sponsorships, audience reaction). |
[!TIP] Budget Control: If you only need raw transcripts and metadata without AI, set
enableAnalysis: false. You will only be billed$0.005per video!
โ Frequently Asked Questions (FAQ)
๐ค Support & Feedback
If you have feature requests, notice any issues, or want custom integrations, please reach out via the Issues tab on Apify Console. We actively maintain and enhance this Actor!