Social Data API v2.0

Turn Social Media into Structured Data with One API

No official API key needed. Standard RESTful API with clean JSON output. Integrate in 5 minutes.

Supported platforms: X (Twitter) · Instagram · YouTube · TikTok · Facebook

Turn Social Media into Structured Data with One API
Data Collection Modes

Collect data your way

Whether you are a dev team or a business team, there is an integration path for you.

01

Standard API Integration

RESTful API with Python / Node.js / Go SDK. Returns structured JSON — tweet content, engagement metrics, user profiles and media direct links. Perfect for teams with development capabilities.

02

No-Code Platform Integration

Official n8n / Make.com / Zapier nodes. Zero-code monitoring rules, auto-push data to Airtable / Google Sheets / Feishu. Perfect for operations and marketing teams.

Core Capabilities

All-in-one solution for social media data

We handle all the complexity — from anti-bot to structured output.

Zero-Config Anti-Bot

Zero-Config Anti-Bot

Built-in residential proxy rotation, TLS fingerprint spoofing, browser-level request simulation. Auto-handle 403/429 with a 99%+ success rate.

Structured JSON Output

Structured JSON Output

Clean, typed JSON data. No regex HTML cleaning, no pagination cursor handling. Ready to use out of the box.

No Official API Key Required

No Official API Key Required

No dependency on official developer accounts. No quota limits, no approval waiting. Sign up and use immediately.

Media Direct Link Extraction

Media Direct Link Extraction

Auto-extract highest-resolution image URLs and MP4 video direct links. No secondary parsing or m3u8 transcoding needed.

Full Thread & Reply Chain

Full Thread & Reply Chain

Multi-level reply tree recursive scraping. Link complete discussion threads via conversation_id. Rare among competitors.

Multi-Platform Coverage

Multi-Platform Coverage

One SDK covers X (Twitter), Instagram, YouTube, TikTok, Facebook. Unified API, unified billing.

Target Customers

Built for these teams

Different industries, one unified API.

🤖

AI Companies

Training data collection, RLHF corpus building, real-time social signals

📊

Opinion Monitoring

Brand volume tracking, crisis alerts, competitive analysis

📈

Ad & Marketing

KOL selection, campaign tracking, trending content extraction

🛒

Cross-border E-commerce

TikTok/Instagram trend products, influencer sales monitoring

🎓

Research Institutions

Social network analysis, communication research, NLP datasets

💹

Quant & Finance

Social sentiment factors, KOL opinion tracking, event-driven signals

Use Cases

Find the scraping scenario that fits you

5 core scenarios covering the full spectrum from monitoring to content extraction.

01

Brand Sentiment Monitoring

Real-time brand keyword monitoring. Auto-collect relevant tweets with engagement metrics. Integrate with BI systems for instant negative-sentiment alerts.

GET /v1/search · GET /v1/search/realtime
02

Sales Lead Mining

Scan competitor follower lists and extract high-value user profiles (followers, verified status, bio keywords). Export structured records to your CRM.

GET /v1/profile/{user} · GET /v1/user/{user}/followers
03

Content & Media Extraction

Batch-collect tweets by topic/hashtag plus HD images and MP4 video direct links. Automated content library for MCN and ad teams.

GET /v1/tweet/{id} · POST /v1/batch/tweets
04

Deep Conversation Analysis

Scrape complete reply chains and multi-level discussion trees. Quant funds use it for sentiment factors; academic teams for NLP corpus building.

GET /v1/tweet/{id}/replies · GET /v1/conversation/{id}
05

Workflow Automation Integration

Via n8n / Make.com / Zapier nodes. Zero-code automation: keyword monitoring → write to spreadsheet → push notifications.

Webhook Push · GET /v1/simple/search
FAQ

Frequently Asked Questions

Have a different question?

A standardized RESTful API that lets developers fetch structured data from social platforms like X (Twitter), Instagram, YouTube and TikTok via simple HTTP requests. No official developer accounts needed, no anti-bot handling required.
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