SOCIAL MEDIA DATA

Public social signal.
Structured, at scale.

// THE SHORT ANSWER

Social media scraping extracts publicly available data from platforms like YouTube, Reddit, Instagram and TikTok — posts, captions, comments, engagement counts and trending topics — delivered as structured, PII-scrubbed feeds. iWeb Data Scraping collects only public content, scrubs personal identifiers at source, and documents provenance, making the data suitable for AI training, brand monitoring and trend intelligence. We deliberately do not scrape private profiles or platforms where collection carries high legal risk — public, compliant social data only.

Get free sample in 48h See delivery specs
99%+field accuracy, QA-verified
48hfree sample turnaround
24/7pipeline monitoring
ISO 27001+ 9001 certified

Key facts

  • Platforms: YouTube, Reddit, Instagram (public), TikTok (public), others on request
  • Data: Public posts, comments, engagement metrics, trends — no private/gated content
  • Formats: JSONL/CSV, API, warehouse-direct · dedup & provenance reports for training use
  • Pii Policy: Personal identifiers scrubbed at collection by default

Social platforms are where trends form, brands live or die, and — increasingly — where AI models learn to sound human. Public social data has become one of the most valuable and most contested data categories of 2026: essential for training conversational models and tracking brand health, but a legal minefield if collected carelessly.

Our approach is defined as much by what we won't do as what we will. We collect public content — public posts, captions, comments, engagement metrics, trending topics — scrub PII (usernames, handles, personal details) at collection, and document sources for AI-training provenance. We do not touch private profiles, gated content, or platforms where scraping carries serious legal exposure. If a vendor offers you LinkedIn profiles or private data, that's the signal to walk — see our compliance guide.

WHAT'S INCLUDED

Public signal, collected
the defensible way.

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Public posts & content

Captions, titles, descriptions and public post text across supported platforms — structured and timestamped.

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Comments & engagement

Public comment threads, like/view/share counts and engagement trends — sentiment's raw material.

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Trend & hashtag tracking

Trending topics, hashtag volumes and content velocity — early signal on what's rising.

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PII scrubbed at source

Handles, usernames and personal identifiers removed in the pipeline — you get content and metrics, not people's identities.

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Provenance for AI training

Source, platform and collection window documented per record — EU AI Act-ready corpora.

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Creator & brand tracking

Public output and engagement for named accounts you monitor — brand and influencer intelligence.

SEE THE DATA FIRST

What you'll actually receive.

Real sample structure from this feed. Your free 48-hour sample comes in your category, in this shape — CSV, JSON or straight to your warehouse.

Public social content — PII-scrubbed, engagement retained.
platform post_id type text_snippet likes comments posted_at
YouTube yt_8842 video Honest review of the new... 12400 842 2026-07-05
Reddit rd_1190 comment Been using it 3 months, the... 318 54 2026-07-06
Instagram ig_5521 reel Unboxing the viral... 89200 1203 2026-07-07
TikTok tt_7731 video 3 reasons this is worth it 210500 3400 2026-07-07
↑ Sample structure — illustrative values. Your data reflects your platforms and category. Get this for your data →
DELIVERY SPECS

The details procurement asks for.

PLATFORMS YouTube, Reddit, Instagram (public), TikTok (public), others on request
DATA Public posts, comments, engagement metrics, trends — no private/gated content
FORMATS JSONL/CSV, API, warehouse-direct · dedup & provenance reports for training use
PII POLICY Personal identifiers scrubbed at collection by default
TIMELINE Free sample in 48h · production 1–2 weeks
PRICING By platforms × volume × frequency; training-corpus pricing separate
COMPLIANCE Public data only · PII-scrubbed · high-risk platforms excluded · ISO 9001/27001 · NDA-first

Every engagement is NDA-first and starts with a free sample — judge the data before any commitment.

THE HONEST COMPARISON

Why a data layer, not a DIY script or a rigid tool

In-house DIY Generic SaaS tool iWeb Data Scraping
Setup & maintenance You build scrapers, fight anti-bot, fix breakages weekly Rigid templates, breaks on site changes, slow support Fully managed — we build, monitor and fix, you never touch a proxy
Data quality Best-effort, no QA layer, silent failures Generic parsers, frequent gaps 99%+ field accuracy, QA-verified, monitored 24/7
Coverage Limited to what you can maintain Only supported sites Any public site or app, at scale
Compliance Your legal risk to manage alone Often opaque about methods ISO-certified, PII-scrubbed, NDA-first, documented
Time to value Weeks to months of engineering Fast but inflexible Free sample in 48h, production in days
WHO USES THIS

Built for the person
who owns the number.

AI / ML TEAM

Conversational training data

Public comments and discussion — high-value corpora for conversational models, with provenance for diligence. See LLM training data.

BRAND / SOCIAL TEAM

Track brand health

Public mentions, sentiment signal and engagement trends for your brand and rivals across platforms.

TREND / RESEARCH

Catch trends early

Rising hashtags, content velocity and topic emergence — the leading edge before it hits mainstream.

RELATED:AI & LLM Training Data →TikTok Shop Scraping →Social Commerce Intelligence →
FAQ

Before the first call.

Collecting publicly available social content is broadly defensible when done without bypassing access controls, but the details decide it: private profiles, gated content and personal data raise real legal risk. We collect only public content, scrub PII at source, exclude high-risk platforms, and document methodology under NDA — the compliant subset, not everything technically possible.

We cover public data on YouTube, Reddit, Instagram, TikTok and similar platforms. We deliberately avoid private profiles, gated content, and platforms like LinkedIn where scraping carries significant legal exposure. If a use case needs a platform we consider high-risk, we'll tell you rather than take the engagement.

Yes — public social data is a high-value training source, especially for conversational models. We deliver it deduplicated, PII-scrubbed and with per-source provenance documentation aligned to EU AI Act requirements, so it holds up in legal review and investor diligence, not just in the training run.

No — personal identifiers (usernames, handles, personal details) are scrubbed in the collection pipeline by default. You receive content and engagement metrics, not identifiable individuals, which keeps the dataset on the right side of GDPR and similar privacy regimes.

Get a free sample dataset in 48 hours.