# Automatic Udemy Course Enroller: a Python scraper that claims coupons and enrolls you

> The udemy-enroller package scrapes coupon aggregator sites and posts the enrollment for you. It is a batch tool for building a course library, not a way to request a specific course, and it only works against the English Udemy storefront.

**aapatre/Automatic-Udemy-Course-Enroller-GET-PAID-UDEMY-COURSES-for-FREE** — Do you want to LEARN NEW STUFF for FREE? Don't worry, with the power of web-scraping and automation, this script will find the necessary Udemy coupons & enroll you for PAID UDEMY COURSES, ABSOLUTELY FREE!

- Repository: https://github.com/aapatre/Automatic-Udemy-Course-Enroller-GET-PAID-UDEMY-COURSES-for-FREE
- Stars: 3,289 · Forks: 561
- Language: Python
- License: GPL-3.0
- Published: 2026-09-24 · Updated: 2026-09-24 · Language: en
- Canonical page: https://hysenlabs.com/projects/aapatre-automatic-udemy-course-enroller-get-paid-udemy-courses-for-free

## The problem: coupon pages are a manual grind

Udemy instructors hand out free enrollment coupons to promote new courses. Those coupons get reposted on aggregator sites, and the README names five of them: tutorialbar.com, discudemy.com, coursevania.com, freebiesglobal.com and idownloadcoupon.com. Finding a coupon, clicking through the intermediary page, landing on Udemy, and claiming the course before the coupon expires is a repetitive loop. The enroller automates that loop.

The intended user is someone who wants a broad library rather than a specific title. The README is blunt about this: the project is "NOT a hacking script", meaning it cannot enroll you in a course you name. It only processes coupons that instructors have already published. If you need one particular course, this tool is the wrong shape entirely, and the README says so in its first FAQ.

## How the scraper and the REST enrollment fit together

There are two distinct mechanisms in the dependency list, and the split matters. The scraping side uses beautifulsoup4 for parsing and cloudscraper for fetching pages that sit behind bot protection. The enrollment side is described in the README as REST requests: the bot authenticates against Udemy and posts the enrollment rather than driving a browser through the checkout flow.

Selenium and webdriver-manager are also in the dependency list, which suggests a browser-driven path exists somewhere in the package, but the README's own explanation of the mechanism points at REST. That is a gap worth noting: the documentation describes one approach while the dependency set carries both.

The loop itself is page-ordered. According to the README, the bot starts on the first "All Courses" page of each aggregator and works through it before moving to the next page, cycling between sites. The --max-pages argument caps how far that walk goes, defaulting to 5. At the end of a run the CLI prints a statistics block with counters for Enrolled, Unwanted Category, Unwanted Language, Already Claimed, Expired, Total Enrolments and a Savings figure in euros.

## Installing udemy-enroller and running a first pass

The README gives two install routes: from a clone with pip install -r requirements.txt, or from PyPI. Python 3.8 or newer is the stated requirement in the README, while pyproject.toml and setup.py both pin python_requires to 3.9 or newer. Trust the stricter number.

The PyPI route is the shortest. Install the package, then run the console script; the README says the CLI will walk you through the required settings on first run.

```bash
pip install udemy-enroller
```

The --help flag lists the arguments available. The README documents --browser, --max-pages, --debug, --delete-settings, --delete-cookie, and one flag per scraper source.

```bash
udemy_enroller --browser=chrome
```

That command runs the enroller with Chrome as the browser. Pressing ctrl+c in the terminal stops the enrollment process.

Docker is the alternative. The Dockerfile builds on python:3.10-alpine, creates an enroller user, and sets the entrypoint to run_enroller.py.

```bash
docker build -t udemy_enroller .
docker run -it udemy_enroller
```

After entering credentials and settings interactively, the README says to detach with Ctrl-P then Ctrl-Q. You can instead mount a settings file created from sample_settings.yaml.

```bash
docker run -v $(pwd)/settings.yaml:/home/enroller/.udemy_enroller/settings.yaml udemy_enroller
```

Saved settings live in ~/.udemy_enroller on Linux and C:/Users/CurrentUserName/.udemy_enroller on Windows. The README adds a constraint on that file: the values in settings.yaml must be in the same language as the site you are browsing.

## The English-only and region constraints

Two warnings in the README are easy to skim past and both are hard limits. The first: the project will not work with non-English Udemy. If your storefront is localized, the enrollment path does not apply. The second: you are told to make sure web-scraping is legal in your region. That is the author shifting the compliance question to the user, which is reasonable for a scraper but means you get no guidance on what is or is not permitted where you live.

The aggregator dependency is the quieter failure mode. The tool has no course index of its own. If tutorialbar.com changes its HTML structure, or freebiesglobal.com starts serving different markup, the parser for that source breaks and you get nothing from it until someone patches it. The per-source flags (--discudemy, --coursevania, --tutorialbar, --freebiesglobal, --idownloadcoupon) are useful here: running one scraper at a time tells you which source is failing.

Expiry is another built-in loss. The statistics block counts Expired and Already Claimed as separate outcomes, which confirms that a meaningful share of the coupons the bot encounters are dead by the time it reaches them. That is inherent to the coupon model, not a bug, but it means the tool's throughput is bounded by how fresh the aggregator listings are.

## Compared with writing your own requests script

The obvious alternative is a short personal script: requests plus BeautifulSoup against one aggregator you trust, posting the enrollment yourself. The difference is scope and upkeep. A personal script covers one source and you own every breakage. This project ships five source scrapers, a settings layer with a guided CLI, a Docker image, and a pytest suite in tests/, so the maintenance of five moving parsers is shared across the project's contributors rather than sitting with you.

The trade-off runs the other way too. A personal script does exactly what you wrote and nothing else, so you can read the whole thing in one sitting before handing it your Udemy credentials. Here the enrollment path is spread across the package and the README explains it in a single sentence about REST requests. If you are not willing to read the source before logging in, the smaller script is the safer choice even though it does less.

## Release cadence, licence and the cost of keeping it working

The last push to the repository was on 2026-04-28, and the most recent tagged release is v4.1.4 from 2024-02-21, with v4.1.3 before it in 2023 and v4.1.2 in 2022. The gap between the 2024 tag and later commits is the number that matters for planning: fixes are landing in the repository between releases, so installing from PyPI may give you something older than master. pyproject.toml records current_version as v4.1.4 while the package version field reads 4.1.5, which is consistent with unreleased changes sitting on the branch.

Upgrade cost is tied to the aggregators, not to the Python code. Every source you keep enabled is a parser that can break without warning, and the pinned dependencies (selenium 4.35.0, cloudscraper 1.2.71, beautifulsoup4 4.14.0) mean a browser or site change can require a dependency bump before the tool works again.

Licence is genuinely ambiguous in the repository. The task metadata and the LICENSE file identify GPL-3.0, while the classifiers in both setup.py and pyproject.toml declare GNU Lesser General Public License v3 (LGPLv3). Those are different licences with different obligations for anyone redistributing a modified version. If you plan to fork and ship, resolve that conflict with the actual LICENSE text before you rely on either label; this is not legal advice, just a flag that the metadata disagrees with itself.

## Conclusion

Adopt it if you want a hands-off way to accumulate free English-language Udemy courses and you accept running an unverified scraper against coupon sites with your own account. Do not adopt it if you need a specific course, work in a non-English Udemy storefront, or need any guarantee about what happens to your login. Before running it, check the sample_settings.yaml keys against your region, confirm Python 3.9 or newer is available, and read the GPL-3.0 versus LGPLv3 discrepancy between LICENSE and the package metadata, because that inconsistency has no resolution in the repository.

## FAQ

### Can I get a specific Udemy course for free with udemy-enroller?

No. The README states plainly that the script cannot enroll you in a specific course, because it only acts on coupons that instructors have already published. It finds courses whose coupon links make the transaction free and enrolls you in those.

### How does the udemy-enroller bot actually work?

It scrapes coupon links from the aggregator sites listed in the README, then uses REST requests to authenticate and enroll you in the courses. It works through the first All Courses page on each site before moving to the next page.

### Does udemy-enroller work on non-English Udemy storefronts?

No. The README carries an explicit note that the project will not work with non-English Udemy, and it adds that the values in settings.yaml should be in the same language as the site you are browsing.

## Sources

- [aapatre/Automatic-Udemy-Course-Enroller-GET-PAID-UDEMY-COURSES-for-FREE on GitHub](https://github.com/aapatre/Automatic-Udemy-Course-Enroller-GET-PAID-UDEMY-COURSES-for-FREE)
- [Issues](https://github.com/aapatre/Automatic-Udemy-Course-Enroller-GET-PAID-UDEMY-COURSES-for-FREE/issues)
- [License: GPL-3.0](https://github.com/aapatre/Automatic-Udemy-Course-Enroller-GET-PAID-UDEMY-COURSES-for-FREE/blob/master/LICENSE)
- [README](https://github.com/aapatre/Automatic-Udemy-Course-Enroller-GET-PAID-UDEMY-COURSES-for-FREE/blob/master/README.md)
- [Releases](https://github.com/aapatre/Automatic-Udemy-Course-Enroller-GET-PAID-UDEMY-COURSES-for-FREE/releases)

---

Hysen Labs editorial analysis, written from the project's own repository and release notes. Cite the canonical page: https://hysenlabs.com/projects/aapatre-automatic-udemy-course-enroller-get-paid-udemy-courses-for-free