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https://github.com/mendableai/firecrawl.git
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078d4c8d41
Added new files for setting up Firecrawl on a Kubernetes Cluster. The files include Kubernetes manifests for deploying API, worker, playwright service, and Redis with associated ConfigMap and Secret associated resources. Also, updated the self-host documentation to include instructions for Kubernetes deployment.
34 lines
1.2 KiB
Markdown
34 lines
1.2 KiB
Markdown
# Self-hosting Firecrawl
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*We're currently working on a more in-depth guide on how to self-host, but in the meantime, here is a simplified version.*
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Refer to [CONTRIBUTING.md](https://github.com/mendableai/firecrawl/blob/main/CONTRIBUTING.md) for instructions on how to run it locally.
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## Getting Started
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First, clone this repository and copy the example env file from api folder `.env.example` to `.env`.
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```bash
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git clone https://github.com/mendableai/firecrawl.git
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cd firecrawl
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cp ./apps/api/.env.example ./.env
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```
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For running the simplest version of FireCrawl, edit the `USE_DB_AUTHENTICATION` on `.env` to not use the database authentication.
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```yml
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USE_DB_AUTHENTICATION=false
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```
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Update the Redis URL in the .env file to align with the Docker configuration:
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```yml
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REDIS_URL=redis://redis:6379
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```
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Once that's complete, you can simply run the following commands to get started:
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```bash
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docker compose up
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```
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This will run a local instance of Firecrawl which can be accessed at `http://localhost:3002`.
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# Install Firecrawl on a Kubernetes Cluster (Simple Version)
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Read the [examples/k8n/README.md](examples/k8n/README.md) for instructions on how to install Firecrawl on a Kubernetes Cluster. |