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210 lines
7.9 KiB
Markdown
Executable File
210 lines
7.9 KiB
Markdown
Executable File
# Fredy – Self-Hosted Real Estate Search & Alerts for Germany
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Searching for an apartment or house in Germany can be frustrating.
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Fredy makes it easier: it scrapes **ImmoScout24, Immowelt, Immonet, eBay Kleinanzeigen, and WG-Gesucht**, and notifies you instantly via **Slack, Telegram, Email, ntfy, and more** when new listings match your requirements.
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Fredy includes a **web UI** to configure your searches, prevents duplicates even across multiple platforms, and stores results so you won’t receive the same listing twice.
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<img src="https://github.com/orangecoding/fredy/blob/master/doc/logo.png" width="400">
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 [](https://github.com/orangecoding/fredy/actions/workflows/docker.yml) 
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## Key-Features
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- ✅ Scrapes **ImmoScout24, Immowelt, Immonet, eBay Kleinanzeigen, WG-Gesucht**
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- ✅ Instant notifications: Slack, Telegram, Email (SendGrid, Mailjet), ntfy
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- ✅ Reverse-engineered **ImmoScout mobile API** for reliable results
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- ✅ Runs anywhere: Docker, Node.js, self-hosted
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- ✅ Modern stack: Node.js, Express, React, Vite
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- ✅ Web UI to manage your searches
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- ✅ Deduplication and configurable search intervals
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---
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## Demo
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If you want to try out _Fredy_, you can access the demo version [here](https://fredy.orange-coding.net) 🤘
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---
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## Sponsorship [](https://github.com/sponsors/orangecoding)
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If you find Fredy useful, consider supporting my work.
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I maintain Fredy and other open source projects in my spare time – your sponsorship helps keep development active. Thanks for your support!
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[<img src="https://resources.jetbrains.com/storage/products/company/brand/logos/jetbrains.svg" alt="JetBrains" width="120"/>](https://jb.gg/OpenSourceSupport)
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Fredy is proudly supported by **JetBrains** under their Open Source Support Program.
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#### Usage
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- Requires **Node.js 20 or higher**
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- Install dependencies and start both backend and frontend:
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```bash
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yarn
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yarn run start:backend # in one terminal
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yarn run start:frontend # in another terminal
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```
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Fredy will start on port 9998.
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Open http://localhost:9998 in your browser.
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## Default login:
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Username: admin
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Password: admin
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## Screenshots
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| Job Configuration | Job Analytics | Job Overview |
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|-------------------|--------------|--------------|
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|  |  |  |
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## Understanding the fundamentals
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There are 3 important parts in Fredy, that you need to understand to leverage the full power of _Fredy_.
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#### Provider
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_Fredy_ supports multiple services. Immonet, Immowelt and Ebay are just a few examples. Those services are called providers within _Fredy_. When creating a new job, you can choose one or more providers.
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A provider contains the URL that points to the search results for the respective service. If you go to immonet.de and search for something, the displayed URL in the browser is what the provider needs to do its magic.
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**It is important that you order the search results by date, so that _Fredy_ always picks the latest results first!**
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#### Adapter
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_Fredy_ supports multiple adapters, such as Slack, SendGrid, Telegram etc. A search job can have as many adapters as supported by _Fredy_. Each adapter needs different configuration values, which you have to provide when using them. An adapter dictates how the frontend renders by telling the frontend what information it needs in order to send listings to the user.
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#### Jobs
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A Job wraps adapters and providers. _Fredy_ runs the configured jobs in a specific interval (can be configured in `/conf/config.json`).
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## Creating your first job
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To create your first job, click on the button "Create New Job" on the job table. The job creation dialog should be self-explanatory, however there is one important thing.
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When configuring providers, before copying the URL from your browser, make sure that you have sorted the results by date to make sure _Fredy_ always picks the latest results first.
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## User management
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As an administrator, you can create, edit and remove users from _Fredy_. Be careful, each job is connected to the user that has created the job. If you remove the user, their jobs will also be removed.
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# Development
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### Running Fredy in development mode
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Start the backend with:
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```shell
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yarn run start:backend:dev
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```
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For the frontend, run:
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```shell
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yarn run start:frontend:dev
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```
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You should now be able to access _Fredy_ from your browser. Check your Terminal to see what port the frontend is running on.
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### Running Tests
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To run the tests, run
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```shell
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yarn run test
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```
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# Architecture
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```mermaid
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flowchart TD
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subgraph Jobs["Jobs"]
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A1["Job 1"]
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A2["Job 2"]
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A3["Job 3"]
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end
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subgraph Providers["Providers"]
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C1["Provider 1"]
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C2["Provider 2"]
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C3["Provider 3"]
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end
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subgraph NotificationAdapters["Notification Adapters"]
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F1["Notification Adapter 1"]
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F2["Notification Adapter 2"]
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end
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A1 --> B["FredyRuntime"]
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A2 --> B
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A3 --> B
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B --> C1 & C2 & C3
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C1 --> D["Similarity-Check"]
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C2 --> D
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C3 --> D
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D --> E{"Found<br>similarity?"}
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E -- No --> F1
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F1 --> F2
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style A1 fill:#fde9a0,stroke:#333333,color:#333333
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style A2 fill:#fde9a0,stroke:#333333,color:#333333
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style A3 fill:#fde9a0,stroke:#333333,color:#333333
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style C1 fill:#c4c9f1,stroke:#333333,color:#333333
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style C2 fill:#c4c9f1,stroke:#333333,color:#333333
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style C3 fill:#c4c9f1,stroke:#333333,color:#333333
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style F1 fill:#d2edba,stroke:#333333,color:#333333
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style F2 fill:#d2edba,stroke:#333333,color:#333333
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style B fill:#abd8f9,stroke:#333333,color:#333333
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style D fill:#fab4a8,stroke:#333333,color:#333333
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style E fill:#fffbb4,stroke:#333333,color:#333333
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```
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### Immoscout
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Immoscout has implemented advanced bot detection. In order to work around this, we are using a reversed engineered version of their mobile api. See [Immoscout Reverse Engineering Documentation](https://github.com/orangecoding/fredy/blob/master/reverse-engineered-immoscout.md)
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# Analytics
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Fredy is completely free (and will always remain free). However, it would be a huge help if you’d allow me to collect some analytical data.
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Before you freak out, let me explain...
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If you agree, Fredy will send a ping to my Mixpanel project each time it runs.
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The data includes: names of active adapters/providers, OS, architecture, Node version, and language. The information is entirely anonymous and helps me understand which adapters/providers are most frequently used.</p>
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**Thanks**🤘
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# Docker
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Use the Dockerfile in this repository to build an image.
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Example: `docker build -t fredy/fredy /path/to/your/Dockerfile`
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Or use docker-compose:
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Example `docker-compose build`
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Or use the container that will be built automatically.
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`docker pull ghcr.io/orangecoding/fredy:master`
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## Create & run a container
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Put your config.json into a path of your choice, such as `/path/to/your/conf/`.
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Example: `docker create --name fredy -v /path/to/your/conf/:/conf -p 9998:9998 fredy/fredy`
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## Logs
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You can browse the logs with `docker logs fredy -f`.
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### 👐 Contributing
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Thanks to all the people who already contributed!
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<a href="https://github.com/orangecoding/fredy/graphs/contributors">
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<img src="https://contrib.rocks/image?repo=orangecoding/fredy" />
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</a>
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See [Contributing](https://github.com/orangecoding/fredy/blob/master/CONTRIBUTING.md)
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## Star History
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[](https://www.star-history.com/#orangecoding/fredy&Date)
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