Manual Social Scraping
Posts, comments, profiles and engagement from Facebook, Instagram, TikTok, LinkedIn and X — collected by humans, never blocked.
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Data Services
Data, Crafted by Real People
From manual social media research that bypasses bot blockers to curated audio and video datasets — we deliver the real-world data your AI products need.
The Bot Problem
When automation hits the wall
Facebook, Instagram, TikTok and other platforms aggressively block scrapers. Automated pipelines return captchas, IP bans, and empty pages — not the data you need. Bots leave fingerprints; trained humans don't.
Our Approach
Real humans, real research
Our trained data analysts browse, capture and verify content the way a real user would. No automation signals, no detection patterns, no account bans — just clean data delivered to your spec.
What We Collect
End-to-end data services
Web Data Collection
E-commerce listings, news, forums, niche communities and protected sources gathered to your exact schema and refresh cadence.
Audio Datasets
Curated voice samples, dialects, accents, ambient sound and conversational recordings for speech-to-text and voice AI training.
Video Datasets
Action-labeled clips, expression and gesture footage, scene libraries and custom shoots for computer vision and multimodal models.
Annotation & Labeling
Bounding boxes, transcripts, sentiment tags, intent labels and entity extraction — multi-pass review for model-grade quality.
Cleansing & QA
Deduplication, normalization, PII removal and human spot-checks so your training data is ready the moment it lands.
How We Work
From brief to delivery
A repeatable workflow that scales from a few thousand samples to multi-million-row datasets without compromising quality.
01
Discovery
We define the data spec — sources, volume, format, refresh cadence — and align on acceptance criteria before a single sample is collected.
02
Sourcing
We identify target platforms, recruit native-language collectors, and prepare custom audio/video shoots when content needs to be produced.
03
Manual Collection
Trained agents work from real devices and residential IPs, capturing data the way a real user would — no automation fingerprints.
04
Annotation
Specialists label, tag, transcribe or segment each sample to your schema. Inter-annotator agreement is tracked sample-by-sample.
05
QA Review
Multi-pass quality control with sampling audits, automated validation and human spot-checks against your acceptance criteria.
06
Delivery
Secure handoff in your preferred format — JSONL, Parquet, CSV, S3, or direct dataset push to your training pipeline.
Who We Serve
Built for AI teams
AI Labs & Foundation Models
Diverse, ethically-sourced training data for LLMs, vision models and multimodal systems — volume without sacrificing curation.
Voice & Speech Startups
Dialect-rich audio corpora, conversational recordings and edge-case samples to push your speech models past the long tail.
Market & Trend Research
Real social conversations and consumer voice data that automated scrapers can't reach — turned into structured insight.
Computer Vision Teams
Custom video shoots, action-labeled clips and scene libraries that match your exact use case — not generic stock footage.
Need data your bots
can't reach?
Send us your data spec or describe your AI use case — we'll come back with a sample, a timeline and a quote within two business days.