Scraping Chinese Social Platforms for LLM Training Data: A Practical Multi-Source Pipeline (Python, 2026)

Short summary

Build diverse Chinese-language LLM training datasets by scraping Weibo, Bilibili, and RedNote using a practical Python pipeline with Apify. The architecture normalizes platform-native data, deduplicates, and achieves ~5,000 posts daily at $25/pull ($9,125/year). Includes working code, volume math, and legal safeguards for public-data-only collection.

• •Multi-source scraper pipeline for Weibo, Bilibili, and RedNote with platform-specific linguistic registers
• •Normalization architecture with deduplication and JSONL output; ~$25 per daily snapshot
• •Includes working Python code, cost analysis, and compliance-first approach (public data only)

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