Searching for an apartment or house in Germany can be frustrating.
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.
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.
- ✅ Scrapes ImmoScout24, Immowelt, Immonet, eBay Kleinanzeigen, WG-Gesucht
- ✅ Instant notifications: Slack, Telegram, Email (SendGrid, Mailjet), ntfy
- ✅ Reverse-engineered ImmoScout mobile API for reliable results
- ✅ Runs anywhere: Docker, Node.js, self-hosted
- ✅ Modern stack: Node.js, Express, React, Vite
- ✅ Web UI to manage your searches
- ✅ Deduplication and configurable search intervals
If you want to try out Fredy, you can access the demo version here 🤘
If you find Fredy useful, consider supporting my work.
I maintain Fredy and other open source projects in my spare time – your sponsorship helps keep development active. Thanks for your support!
Fredy is proudly supported by JetBrains under their Open Source Support Program.
- Requires Node.js 20 or higher
- Install dependencies and start both backend and frontend:
yarn
yarn run start:backend # in one terminal
yarn run start:frontend # in another terminal
Fredy will start on port 9998.
Open http://localhost:9998 in your browser.
Username: admin
Password: admin
Job Configuration | Job Analytics | Job Overview |
---|---|---|
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There are 3 important parts in Fredy, that you need to understand to leverage the full power of Fredy.
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. 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. It is important that you order the search results by date, so that Fredy always picks the latest results first!
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.
A Job wraps adapters and providers. Fredy runs the configured jobs in a specific interval (can be configured in /conf/config.json
).
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. 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.
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.
Start the backend with:
yarn run start:backend:dev
For the frontend, run:
yarn run start:frontend:dev
You should now be able to access Fredy from your browser. Check your Terminal to see what port the frontend is running on.
To run the tests, run
yarn run test
flowchart TD
subgraph Jobs["Jobs"]
A1["Job 1"]
A2["Job 2"]
A3["Job 3"]
end
subgraph Providers["Providers"]
C1["Provider 1"]
C2["Provider 2"]
C3["Provider 3"]
end
subgraph NotificationAdapters["Notification Adapters"]
F1["Notification Adapter 1"]
F2["Notification Adapter 2"]
end
A1 --> B["FredyRuntime"]
A2 --> B
A3 --> B
B --> C1 & C2 & C3
C1 --> D["Similarity-Check"]
C2 --> D
C3 --> D
D --> E{"Found<br>similarity?"}
E -- No --> F1
F1 --> F2
style A1 fill:#fde9a0,stroke:#333333,color:#333333
style A2 fill:#fde9a0,stroke:#333333,color:#333333
style A3 fill:#fde9a0,stroke:#333333,color:#333333
style C1 fill:#c4c9f1,stroke:#333333,color:#333333
style C2 fill:#c4c9f1,stroke:#333333,color:#333333
style C3 fill:#c4c9f1,stroke:#333333,color:#333333
style F1 fill:#d2edba,stroke:#333333,color:#333333
style F2 fill:#d2edba,stroke:#333333,color:#333333
style B fill:#abd8f9,stroke:#333333,color:#333333
style D fill:#fab4a8,stroke:#333333,color:#333333
style E fill:#fffbb4,stroke:#333333,color:#333333
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
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.
Before you freak out, let me explain...
If you agree, Fredy will send a ping to my Mixpanel project each time it runs.
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.
Use the Dockerfile in this repository to build an image.
Example: docker build -t fredy/fredy /path/to/your/Dockerfile
Or use docker-compose:
Example docker-compose build
Or use the container that will be built automatically.
docker pull ghcr.io/orangecoding/fredy:master
Put your config.json into a path of your choice, such as /path/to/your/conf/
.
Example: docker create --name fredy -v /path/to/your/conf/:/conf -p 9998:9998 fredy/fredy
You can browse the logs with docker logs fredy -f
.
Thanks to all the people who already contributed!
See Contributing