🇨🇳 Eastmoney China ETF Flow Tracker · 东方财富ETF资金流向

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Get institutional-grade fund-flow data for the Chinese ETF market — roughly 1,468 Shanghai and Shenzhen ETFs — in a single run, sourced live from Eastmoney (东方财富). Every record carries the four-tier money breakdown retail feeds omit: super-large, large, medium and small order flow in CNY and percent. Three modes cover the full workflow: a daily snapshot of the whole ETF universe, a per-ETF historical flow series (up to 365 trading days), and ~496 industry-sector aggregates for top-down rotation analysis. Residential proxy is built in to clear Eastmoney's throttling. No login required.

What you get

Three modes, one actor:

Every record exposes the money breakdown that retail-grade feeds (Sina, StockAnalysis.com) don't carry:

• Super-large flow (super-institutional, >1M CNY single trades)
• Large flow (institutional, 200K–1M CNY)
• Medium flow (semi-pro, 40K–200K CNY)
• Small flow (retail, <40K CNY)

The four-tier breakdown is the kind of detail offshore China-watchers usually only get from paid terminals. Here it ships as a clean, schedulable Apify dataset.

Input

• Mode (mode) — snapshot (default), historical, or sector_aggregates.
• ETF filter (etfFilter) — all, sector, index, bond, or commodity.
• Max results (maxResults) — cap the number of records.
• Date range (dateRange) — trading days of history (historical mode only; default 30, max 365).
• Proxy (proxyConfiguration) — residential proxy, on by default to clear Eastmoney throttling.

Example input

{
"mode":"snapshot",
"etfFilter":"sector",
"maxResults":200
}

Example output row

{
"mode":"snapshot",
"ticker":"512880",
"name":"证券ETF",
"category":"sector",
"sector_or_index":"sector",
"price":1.234,
"pct_change":2.15,
"net_main_flow_cny":185000000,
"net_main_flow_pct":4.2,
"super_large_flow_cny":120000000,
"super_large_flow_pct":2.7,
"large_flow_cny":65000000,
"large_flow_pct":1.5,
"medium_flow_cny":-30000000,
"medium_flow_pct":-0.7,
"small_flow_cny":-15000000,
"small_flow_pct":-0.3,
"date":"2026-06-26",
"scraped_at":"2026-06-26T08:30:00Z",
"source":"eastmoney_push2_clist"
}

💻 Code Example — Python

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/china-etf-flow-tracker").call(run_input={
"mode":"snapshot",
"etfFilter":"sector",
"maxResults":200
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item["ticker"], item["name"], item["net_main_flow_cny"])

🌐 Code Example — cURL

curl-X POST "https://api.apify.com/v2/acts/nexgendata~china-etf-flow-tracker/run-sync-get-dataset-items?token=YOUR_TOKEN"\
-H"Content-Type: application/json"\
-d'{"mode": "snapshot", "etfFilter": "sector", "maxResults": 50}'

Use cases

• Hedge-fund position sizing. Re-weight a long-China book based on real-time super-large-order flow, not stale weekly fund-flow PDFs.
• Cross-border ETF arbitrage. Compare onshore CSI 300 ETF flow (510300) with offshore ASHR flow to detect premium/discount divergence.
• China sector rotation tracking. sector_aggregates mode shows which CSRC industries are seeing net inflow.
• Quant signal generation. Multi-tier flow tiers (super-large vs small) help separate informed from noise trades.
• Cross-listed ETF research. Pair onshore flow with offshore NAV from sister China-MARKETS actors.

❓ FAQ

Q: How is this different from the eastmoney-china-stock-screener? The screener returns equity quotes (price, P/E, market cap). This actor returns fund-flow specifically — daily net buying/selling broken down by trade-size tier. Different field set, different use case, same vendor.

Q: How fresh is the data? Eastmoney refreshes flow within ~30 minutes after the Shanghai/Shenzhen market close (CST 15:00). Run this actor any time after 16:00 CST for the same-day record.

Q: Why no AUM column on snapshot? Eastmoney's flow endpoint doesn't expose AUM directly. Pair this actor with eastmoney-china-stock-screener for the quote dimension; join on ticker.

Q: Will I get rate-limited? The actor uses Apify Residential Proxy by default — Eastmoney's push2 endpoint throttles to ~3-4 reqs/cloud IP, push2his to ~20-25. Residential rotation handles both transparently.

Q: Can I use the output commercially? Yes. You own the output. Eastmoney's data is publicly accessible; consult their ToS for any restrictions on redistribution at scale.

💰 Pricing

Pay-per-event — you only pay for what you extract.

• Actor start: $0.00005 per run
• ETF flow record: $0.50 per record

Example cost: a 50-ETF sector snapshot = $0.00005 + 50 × $0.50 = ~$25.00.

🔗 Related actors — China-MARKETS family

• Eastmoney China Stock Screener
• China Stock Connect Flow
• China A-Share Smart-Money Tracker
• China A-Share Institutional & Fund Holdings
• China A-Share Financials

Agentic payments (AI agent buyers welcome)

This actor supports autonomous payment via Skyfire — AI agents (Claude Desktop, OpenCode, Cursor, Vercel AI SDK, OpenAI Agents SDK) can discover, fund, and invoke it without a human-in-the-loop credit card flow. Agents using Apify's MCP server can find this actor by searching for China ETF flow, Chinese fund flow, or China ETF 资金流向 and pay via a Skyfire PAY token.

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