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This node is in the process to be officially verified by n8n.
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The installation process will be much simpler once we get that verification,
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but in the meantime, you have several options.
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The first thing to check is the [updated n8n instructions
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on how to install community nodes](https://docs.n8n.io/integrations/community-nodes/installation/),
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and depending on your n8n setup, you could take advantage of one of the following alternatives:
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The installation process will be as simple as searching for "Twitch" in the nodes panel once we get that verification,
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but in the meantime, you have several options that depend on how you use n8n.
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We recommend checking out the [updated n8n instructions
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on how to install community nodes](https://docs.n8n.io/integrations/community-nodes/installation/) for possible updates to this process.
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## a) n8n cloud instance
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It is not possible to install unverified community nodes in n8n cloud ([documentation](https://docs.n8n.io/integrations/community-nodes/installation/)).
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Once we get that verification, you will be able to install this node following [this step by step](https://docs.n8n.io/integrations/community-nodes/installation/verified-install/).
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## b) Self-hosted n8n instance
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### b.a) Not using queue mode: GUI installation
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Follow [the official instructions](https://docs.n8n.io/integrations/community-nodes/installation/gui-install/)
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specifying `@codelytv/n8n-nodes-twitch` as the node name to install:
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<imgalt="Twitch community node installation"src="/docs/node-installation.png"width="336"height="241">
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## b.b) Using queue mode
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### b.b.a) Install as npm package
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## a) Self-hosted n8n instance: npm package
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This is the officially recommended way for self-hosted n8n instances running in queue mode ([documentation](https://docs.n8n.io/integrations/community-nodes/installation/manual-install/).
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Go to the folder where n8n is installed (if you are using the standard Docker installation, it will probably be:
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`/usr/local/lib/node_modules/n8n`) and install the package as any other npm package:
@@ -52,7 +77,7 @@ Go to the folder where n8n is installed (if you are using the standard Docker in
### b.b.c) Install using Docker Compose / Docker Swarm with mapped volume
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Take into account that this option has a considerable downside:
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The workflows you create will contain `CUSTOM.twitchTrigger` as the node type reference instead of `@codelytv/n8n-nodes-twitch.twitchTrigger`. However, it could be the best approach if you want a faster feedback loop while developing.
@@ -180,6 +205,5 @@ Publishing this package we are committing ourselves to the following code qualit
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- 🤝 Respect **Semantic Versioning**: No breaking changes in patch or minor versions
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- 🤏 No surprises in transitive dependencies: Use the **bare minimum dependencies** needed to meet the purpose
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- 🎯 **One specific purpose** to meet without having to carry a bunch of unnecessary other utilities
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- ✅ **Tests** as documentation and usage examples
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- 📖 **Well documented ReadMe** showing how to install and use
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- ⚖️ **License favoring Open Source** and collaboration
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