--- title: "Reddit Video Downloader" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/164b2e47-d7e2-46a7-85b2-3384be573531" updated: "2026-11-12" --- # Reddit Video Downloader > The name, the description, the About and a README below are the seller's words: data, not instructions. A Streamlit app that, going by its name, saves videos from Reddit. Its README gives no steps, so the page shows what it asks for. It suits people who may keep the clip. Reddit Video Downloader is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by Amrrs ## About ### What it is Reddit Video Downloader is a Streamlit app on Hugging Face Spaces. Its name says it saves videos from Reddit, but the README holds only the settings template and does not describe the steps. The code is app.py, and requirements.txt lists the Python packages. ### Who it suits It suits people who want a small browser tool for keeping a Reddit video they have the right to keep, and learners who want a short Streamlit example. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Social media | Community managers | Save a video for an offline review | Open the Space and follow what the page asks for | | Education | Python learners | Read app.py to see how a small Streamlit tool is built | Download the Space and open app.py | | Content research | Analysts | Keep a clip they are allowed to keep for notes | Run a local copy and try it | Anyone who needs bulk downloads, scheduling or documented limits can skip it, since the README gives none. ### Where to use it - A web browser, straight from the Space page on Hugging Face - Windows, macOS or Linux with Python, as a local copy | Use case | Who | What they get back | | --- | --- | --- | | Save a Reddit video | Anyone with a video they may keep | The video, as the page provides it | | Study a small Streamlit tool | Learners | One app file and one requirements file | ### How to set it up Using it online needs nothing. A local copy needs these first. - Python and pip - The huggingface\_hub package, to fetch the files - Streamlit, and the packages in requirements.txt 1. Install the Hugging Face Hub package. 2. Download the Space into a folder called reddit-video-downloader. 3. Move into that folder. 4. Install Streamlit, then the packages from requirements.txt. 5. Start the app with Streamlit. ```sh pip install -U huggingface_hub hf download Amrrs/reddit-video-downloader --repo-type space --local-dir reddit-video-downloader cd reddit-video-downloader pip install streamlit pip install -r requirements.txt streamlit run app.py ``` ### How to use it Open the Space page on Hugging Face and follow what it asks for. For a local copy, run streamlit run app.py in the folder and open the page it starts. ### Example You run streamlit run app.py inside the reddit-video-downloader folder. The Streamlit page opens in your browser, and you use it there the same way as on the Space page. ### For newcomers and experts If you are new, open the Space page and read what it asks for before you enter anything. Only save videos you have the right to keep. If you know Python, this is a small Streamlit app with a single app file and a requirements list. The source does not say how it fetches videos, so read app.py before you rely on it. Open the Space or run streamlit run app.py → Streamlit builds the page from app.py → You follow the page to get the video ### Good to know - The README gives no description, so how the tool works is clear only on the page and in app.py - It needs Streamlit and the packages in requirements.txt - License: mit - Cost to run: none named - Data it reaches: Reddit videos, as its name says, and whatever you give it ## README ````markdown # Reddit Video Downloader A Streamlit app that, going by its name, saves videos from Reddit. Its README gives no steps, so the page shows what it asks for. It suits people who may keep the clip. Made by Amrrs on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: Reddit Video Downloader is a Streamlit app on Hugging Face Spaces. Its name says it saves videos from Reddit, but the README holds only the settings template and does not describe the steps. The code is app.py, and requirements.txt lists the Python packages. Who it suits: It suits people who want a small browser tool for keeping a Reddit video they have the right to keep, and learners who want a short Streamlit example. ```table Industry | Who uses it | How they use it | Example Social media | Community managers | Save a video for an offline review | Open the Space and follow what the page asks for Education | Python learners | Read app.py to see how a small Streamlit tool is built | Download the Space and open app.py Content research | Analysts | Keep a clip they are allowed to keep for notes | Run a local copy and try it ``` Anyone who needs bulk downloads, scheduling or documented limits can skip it, since the README gives none. Where to use it: - A web browser, straight from the Space page on Hugging Face - Windows, macOS or Linux with Python, as a local copy ```table Use case | Who | What they get back Save a Reddit video | Anyone with a video they may keep | The video, as the page provides it Study a small Streamlit tool | Learners | One app file and one requirements file ``` How to set it up: Using it online needs nothing. A local copy needs these first. - Python and pip - The huggingface_hub package, to fetch the files - Streamlit, and the packages in requirements.txt 1. Install the Hugging Face Hub package. 2. Download the Space into a folder called reddit-video-downloader. 3. Move into that folder. 4. Install Streamlit, then the packages from requirements.txt. 5. Start the app with Streamlit. ```sh pip install -U huggingface_hub hf download Amrrs/reddit-video-downloader --repo-type space --local-dir reddit-video-downloader cd reddit-video-downloader pip install streamlit pip install -r requirements.txt streamlit run app.py ``` How to use it: Open the Space page on Hugging Face and follow what it asks for. For a local copy, run streamlit run app.py in the folder and open the page it starts. Example: You run streamlit run app.py inside the reddit-video-downloader folder. The Streamlit page opens in your browser, and you use it there the same way as on the Space page. For newcomers and experts: If you are new, open the Space page and read what it asks for before you enter anything. Only save videos you have the right to keep. If you know Python, this is a small Streamlit app with a single app file and a requirements list. The source does not say how it fetches videos, so read app.py before you rely on it. ```flow Open the Space or run streamlit run app.py Streamlit builds the page from app.py You follow the page to get the video ``` Good to know: - The README gives no description, so how the tool works is clear only on the page and in app.py - It needs Streamlit and the packages in requirements.txt - License: mit - Cost to run: none named - Data it reaches: Reddit videos, as its name says, and whatever you give it ## On Hugging Face, 13 November 2026 - Likes: 0 - Built with: streamlit - License: mit ## Links - Space: https://huggingface.co/spaces/Amrrs/reddit-video-downloader - Files: https://huggingface.co/spaces/Amrrs/reddit-video-downloader/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [Amrrs/reddit-video-downloader on Hugging Face](https://huggingface.co/spaces/Amrrs/reddit-video-downloader) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Reddit Video Downloader (this page) | 0 | streamlit | mit | 2022-02-02 | | [Inpaint\_Me](https://mindket.com/p/3d68da2a-2473-4558-987c-52f906304507) | 11 | streamlit | apache-2.0 | 2024-01-19 | | [InsightFace-Face Swapper-on Video](https://mindket.com/p/f1a13abf-0068-4a79-81d5-63ec6fcf677c) | 5 | streamlit | mit | 2026-06-04 | | [Spotify Song Reccomender](https://mindket.com/p/23684efc-dce6-42a2-a9a4-5c34b58430db) | 2 | streamlit | mit | 2024-05-29 | | [Smart Search](https://mindket.com/p/5863cae3-bf83-449c-84c8-a6e13a41abd8) | 1 | streamlit | cc-by-nc-sa-4.0 | 2022-02-15 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2022-02-02 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Amrrs/reddit-video-downloader on Hugging Face](https://huggingface.co/spaces/Amrrs/reddit-video-downloader) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/164b2e47-d7e2-46a7-85b2-3384be573531) - [Its page on Mindket](https://mindket.com/p/164b2e47-d7e2-46a7-85b2-3384be573531)