TikTok Scraper Reliable

Reliable TikTok video and profile scraping with retry logic and proxy rotation.

Why This Actor Is Better

This actor is engineered to outperform competitors on reliability, data completeness, output quality, and transparent pricing.

Competitor issue	This actor advantage
Single data source	Multi-source extraction + enrichment fallback
No confidence scoring	0-1 confidence score on every result
No source attribution	Full source tracking per dataset row
Slow / blocking	Automatic retries, proxy rotation, cache-first mode
Missing enrichment	Built-in contact, tech-stack, and sentiment enrichment
Requires paid APIs	No external API keys required for core extraction

Key Features

• High-reliability extraction with multi-layer retries
• Video metadata, captions, and engagement
• Profile snapshots and follower metrics
• Rotating residential and datacenter proxies
• Structured output with confidence scores

Architecture

flowchart LR
    A[Input Query/URL] --> B[Playwright/HTTP Scraper]
    B --> C{Success?}
    C -->|Yes| D[Parse & Normalize]
    C -->|No| E[Retry / Proxy Rotate]
    E --> B
    D --> F[Enrichment Engine]
    F --> G[Confidence Scoring]
    G --> H[Apify Dataset]
    H --> I[Webhook / CSV Export]

1. Input ingestion — Accept URLs, queries, or batch lists via the Apify Console.
2. Resilient extraction — Playwright or HTTP-based scraping with retries and proxy rotation.
3. Parsing & normalization — Transform raw platform data into consistent JSON.
4. Enrichment — Append contact signals, tech stacks, sentiment, or cross-platform data where available.
5. Confidence scoring — Each record receives a 0-1 reliability score.
6. Dataset output — Results are pushed to the Apify dataset with source attribution.

Input

Parameter	Type	Required	Default	Description
mode	string	—	enrich	Execution mode: fast_lookup (cache-first), enrich (multi-...
queries	array	✅	...	List of search queries, URLs, or usernames to process.
maxResults	integer	—	25	Maximum number of results to return per query (1-1000).
webhookUrl	string	—		Optional URL to receive a POST notification when the acto...

Output

Results are stored in the Apify dataset as structured JSON objects. See .actor/output_schema.json for the full schema.

Field	Type	Description
videoUrl	string	videoUrl value
username	string	Platform handle or username
caption	string	Caption, title, or body text
hashtags	array	Hashtags or tags
sounds	string	sounds value
views	integer	View count
likes	integer	Like/reaction count
shares	integer	Share/repost count
comments	integer	Comment count
duration	string	duration value
timestamp	string	ISO timestamp
profileUrl	string	Direct link to the profile or post
followers	integer	Follower count or subscriber count
following	integer	Following count
engagementRate	number	Engagement rate as a decimal
confidenceScore	number	0-1 confidence score for the result
scrapedAt	string	ISO timestamp when the row was scraped

Pricing

This actor uses transparent pay-per-event (PPE) pricing. You only pay for successful results.

Plan	Price per 1K results	Savings
Leading competitors	~$2.39/1K	—
This actor	$1.77/1K	26% cheaper

A small one-time Actor Start fee applies per run. No monthly subscription required.

Use Cases

• Content intelligence — study high-performing TikTok videos
• Influencer reporting — aggregate creator performance
• Brand monitoring — track mentions and hashtags
• Ad creative research — analyze trending formats
• Market research — map TikTok presence by category

Legal & Compliance

This actor scrapes publicly available data from TikTok. It does not access private data, bypass authentication, or store credentials. Users are responsible for complying with applicable data protection laws (GDPR, CCPA, etc.) and the platform's Terms of Service.

This actor is intended for legitimate research, analysis, and lead-generation use cases. It must not be used for spam, harassment, or unlawful activity.

AI-DLC / Data Lifecycle

This actor follows AI-DLC principles for ethical data handling:

• Collection — Public data only; respects robots.txt and rate limits.
• Processing — In-memory normalization; no PII logging.
• Storage — Results are pushed to the user's Apify dataset, not retained by the actor.
• Usage — Designed for analysis, enrichment, and legitimate outreach.
• Disposal — No long-term caching of user data between runs.

Enhancement Roadmap (API / MCP Integrations)

• Add video-classification MCP (Clarifai/Google Vision) for content tags
• Integrate trend-prediction MCP based on velocity metrics
• Add sound-identification MCP for music trend tracking

Changelog

• v1.0 — Initial release with core scraping, structured output, confidence scoring, and pay-per-event pricing.
• v1.1 — Premium README, full output schema, and AI-DLC documentation added.