Crypto Token Unlocks & Vesting Schedule Scraper
Scrape upcoming crypto token unlocks and vesting schedules: next unlock date, token amount, USD value, percent of circulating and max supply, locked supply and the team, investor and community allocation split. Track supply inflation events across hundreds of tokens. Export to JSON, CSV or Excel.
{ "tokenName": "SPCX", "symbol": "SPCXB", "protocolSlug": "spcx", "nextUnlockDate": "2026-08-10T00:00:00.000Z", "nextUnlockTimestamp": 1786320000, "daysUntilNextUnlock": 15.5, "nextUnlockAmountTokens": 1367300000, "nextUnlockValueUsd": 153089883964.6, "nextUnlockType": "cliff" }
每次运行都返回干净、带类型的记录，可直接用于你的 CRM、表格或数据库。
- 每个结果对应一条干净记录，已去重并规范化
- JSON、CSV 或 Excel 的稳定结构，也可通过 Apify API 读取
- 在云端按用量付费，无需安装或维护
一条真实的示例记录，正是你收到的结构。
| Token Name | Symbol | Protocol Slug | Next Unlock Date |
|---|---|---|---|
| SPCX | SPCXB | spcx | 2026-08-10T00:00:00.000Z |
| CBRS | CBRSB | cbrs | 2026-08-19T00:00:00.000Z |
| Ondo Finance | ondo | ondo-finance | 2027-01-17T17:25:48.000Z |
| Rain | RAIN | rain | 2026-08-10T19:19:33.000Z |
| Monad | MON | monad | 2026-11-24T05:48:46.000Z |
{ "tokenName": "SPCX", "symbol": "SPCXB", "protocolSlug": "spcx", "nextUnlockDate": "2026-08-10T00:00:00.000Z", "nextUnlockTimestamp": 1786320000, "daysUntilNextUnlock": 15.5, "nextUnlockAmountTokens": 1367300000, "nextUnlockValueUsd": 153089883964.6, "nextUnlockType": "cliff" }
常见问题
What does percent of circulating mean?
It is the size of the next unlock divided by the tokens already in circulation. A large percent means the unlock adds a lot of new supply relative to what is already trading, which is often a bearish pressure signal.
How is the USD value calculated?
The next unlock token amount is valued at the token's current price at run time, so each record reflects the value at the moment of the run (see observedAt).
Can I track just a few specific tokens?
Yes. Use the by-token mode and list the token or protocol slugs you care about (for example `ondo-finance`, `pyth`, `aethir`).
How fresh is the data?
Schedules, supply metrics and prices are read live at run time, so each record reflects the token at the moment of the run.