https://github.com/pierridotite/arbitrageodds
A Python project designed to scrape football match odds from OddsPortal and identify arbitrage opportunities through precise mathematical calculations. Ideal for sports betting enthusiasts looking to explore risk-free profit strategies.
https://github.com/pierridotite/arbitrageodds
arbitrage arbitrage-calculation arbitrage-opportunity arbitragebot python scraping scraping-odds sports-betting
Last synced: about 2 months ago
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A Python project designed to scrape football match odds from OddsPortal and identify arbitrage opportunities through precise mathematical calculations. Ideal for sports betting enthusiasts looking to explore risk-free profit strategies.
- Host: GitHub
- URL: https://github.com/pierridotite/arbitrageodds
- Owner: pierridotite
- License: mit
- Created: 2024-12-22T19:13:59.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-12-22T19:17:48.000Z (6 months ago)
- Last Synced: 2025-03-29T22:04:39.697Z (3 months ago)
- Topics: arbitrage, arbitrage-calculation, arbitrage-opportunity, arbitragebot, python, scraping, scraping-odds, sports-betting
- Language: Python
- Homepage:
- Size: 30.3 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# README
## Project Overview
This project aims to extract football match odds and analyze arbitrage opportunities. The tools used include Selenium for web scraping, Python for data analysis, and text files for storing results.
### File Structure
- **oddslooker.py**:
- Main script to extract match links from [OddsPortal](https://www.oddsportal.com).
- Uses Selenium to navigate league pages and retrieve relevant match URLs.
- Results are saved in `list_of_matches.txt`.
- **souptest.py**:
- Analyzes the matches listed in `list_of_matches.txt`.
- Extracts odds, checks if matches are in the past, and identifies arbitrage opportunities.
- Opportunities are recorded in `arbitrage_opportunities.txt` with details of bookmakers and potential profit margins.
- **list_of_matches.txt**:
- Contains URLs of matches extracted by `oddslooker.py`.
- Each line represents a different match.
- **arbitrage_opportunities.txt**:
- Contains arbitrage opportunities identified by `souptest.py`.
- Information includes optimal odds, corresponding bookmakers, and potential profit margins.
### Prerequisites
1. **Python 3.x**
2. **Selenium WebDriver** for the chosen browser (default is Chrome).
3. Python Libraries:
- `selenium`
- `tqdm`
### Installation
1. Clone this repository:
```bash
git clone https://github.com/pierridotite/ArbitrageOdds
cd ArbitrageOdds
```
2. Install the required dependencies:
```bash
pip install -r requirements.txt
```
3. Download and configure [Selenium WebDriver](https://www.selenium.dev/documentation/webdriver/getting_started/install_drivers/).
### Usage
#### Step 1: Extract Match Links
Run `oddslooker.py` to retrieve match links:
```bash
python oddslooker.py
```
Links will be saved in `list_of_matches.txt`.
#### Step 2: Analyze Arbitrage Opportunities
Run `souptest.py` to analyze matches and detect opportunities:
```bash
python souptest.py
```
Opportunities will be saved in `arbitrage_opportunities.txt`.
### Results
#### Example Output
- **list_of_matches.txt**:
```
https://www.oddsportal.com/football/england/premier-league/nottingham-tottenham-dIMJtCwI/
https://www.oddsportal.com/football/italy/serie-a/ac-milan-as-roma-foxKCMGU/
https://www.oddsportal.com/football/france/ligue-1/lille-nantes-vgbyE4S6/
```
- **arbitrage_opportunities.txt**:
```
Arbitrage opportunity for the match: https://www.oddsportal.com/football/italy/serie-a/ac-milan-as-roma-foxKCMGU/
Date: 29 Dec 2024, 20:45
1: 2.05 at 1xBet
X: 3.79 at 1xBet
2: 4.2 at Unibet
Sum of inverses: 0.9898
Potential profit margin: 1.04%
Arbitrage opportunity for the match: https://www.oddsportal.com/football/england/premier-league/nottingham-tottenham-dIMJtCwI/
Date: 26 Dec 2024, 16:00
1: 2.55 at Unibet
X: 4.04 at 1xBet
2: 2.85 at bet-at-home
Sum of inverses: 0.9906
Potential profit margin: 0.95%
```
### Contributions
1. Fork this repository.
2. Create a branch for your changes:
```bash
git checkout -b feature/new-feature
```
3. Submit a pull request.
### Warnings
- Arbitrage opportunities are time-sensitive; odds can change quickly.
- Please verify local laws and regulations before using arbitrage tools.
### License
This project is licensed under the MIT License. See the `LICENSE` file for more information.