Linking StreamElements as a source

Alpha release

This source is currently in alpha. The interface and available tables may change.

The StreamElements connector syncs your channel's tips, activity feed events, loyalty points leaderboards, store items and redemptions, chatbot commands and timers, and channel details into the PostHog Data warehouse, so you can analyze your stream's community and revenue alongside your product data.

Prerequisites

You need a StreamElements account. Any account can use the API, but the token you connect with only sees the channel it belongs to.

Adding a data source

  1. In PostHog, go to the Sources tab of the data pipeline section.
  2. Click + New source and click Link next to this source.
  3. Enter your credentials (see Configuration below) and click Next.
  4. Select the tables you want to sync, choose a sync method and frequency, then click Import.

Once the syncs are complete, you can start querying this data in PostHog.

When linking StreamElements, you'll need:

  • JWT token – in the StreamElements dashboard, click your avatar and open your account page, enable Show secrets under Channels, then copy the JWT token for your channel.

An OAuth2 access token also works in place of the JWT token, as long as it has the channel:read, tips:read, activities:read, loyalty:read and store:read scopes.

Sync modes

Each table can be synced in one of several modes, depending on what the source supports:

  • Webhook (when available) – the source pushes changes to PostHog in real time. Fastest freshness, lowest ongoing cost, and the only mode that reliably captures updates and deletes.
  • Incremental – only new or updated rows are synced on each run, using a cursor field (such as an updated_at timestamp). Cheaper than a full refresh, but deletes aren't captured.
  • Append only – new rows are appended using a cursor field; existing rows are never updated. Ideal for immutable, append-only tables like event logs.
  • Full refresh – the whole table is reloaded on every sync. Use it when a table has no reliable cursor or when you need deletions reflected.

See sync methods for a full explanation of how each mode works and how to choose between them.

The tips and activities tables support incremental sync on createdAt. Points leaderboards are snapshots of the current standings, so they are full refresh only.

Configuration

OptionTypeRequired
JWT tokenpasswordYes

Supported tables

TableDescriptionSync methodIncremental fieldPrimary key
tips

A tip (donation) received on the channel's tipping page, including the donor, amount, currency and payment provider.

Incremental, Full refreshcreatedAt
activities

An event from the channel's activity feed: follows, tips, hosts, cheers, raids, subscriptions, sponsorships, super chats, loyalty redemptions and merch orders.

Incremental, Full refreshcreatedAt
store_redemptions

A redemption of a loyalty store item, including the redeemer and any input they provided.

Full refresh
store_items

An item in the channel's loyalty store that viewers can redeem with loyalty points.

Full refresh
points_leaderboard

The channel's current loyalty points leaderboard, one row per viewer with their spendable points balance.

Full refresh
points_alltime_leaderboard

The channel's all-time loyalty points leaderboard, one row per viewer with the total points they have ever earned.

Full refresh
bot_commands

A custom chatbot command configured for the channel.

Full refresh
bot_timers

A chatbot timer that posts a message on an interval while the channel is live or offline.

Full refresh
channel

Details of the StreamElements channel the connected token belongs to.

Full refresh

Troubleshooting

  • If you see a 401 Unauthorized error, your token is invalid or expired. Copy a fresh JWT token from the StreamElements dashboard, then reconnect.
  • If you see a 403 Forbidden error, your OAuth2 token is missing a scope needed for one of the selected tables. Reconnect with the scopes listed above, or deselect the tables you don't need.

If your sync is failing or data looks wrong, see the Data warehouse troubleshooting guide. If that doesn't help, contact support – we're happy to help.

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