oddsharvester 0.2.1

A Python application to scrape and manage odds data from OddsPortal website.

OddsHarvester

Scrape sports betting odds from OddsPortal.com with ease

Extract upcoming & historical odds across 8 sports, 100+ leagues, and dozens of betting markets.
Powered by Playwright browser automation. Output to JSON, CSV, or S3.

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Quick Start

# Install
pip install oddsharvester

# Or clone & setup with uv
git clone https://github.com/jordantete/OddsHarvester.git && cd OddsHarvester
pip install uv && uv sync

# Scrape upcoming football matches
oddsharvester upcoming -s football -d 20250301 -m 1x2 --headless

# Scrape historical Premier League odds
oddsharvester historic -s football -l england-premier-league --season 2024-2025 -m 1x2 --headless

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Features

	Feature	Description
Upcoming	Scrape upcoming matches	Fetch odds and event details for upcoming sports matches by date or league
Historic	Scrape historical odds	Retrieve past odds and match results for any season
Multi-market	Advanced parsing	Structured data: dates, teams, scores, venues, and per-bookmaker odds
Storage	Flexible output	JSON, CSV (local), or direct upload to AWS S3
Docker	Container-ready	Run seamlessly in Docker with environment variable configuration
Proxy	Proxy support	Route through SOCKS/HTTP proxies for geolocation and anti-blocking

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Supported Sports & Markets

Sport	Markets
⚽ Football	1x2 btts double_chance draw_no_bet over/under european_handicap asian_handicap
🎾 Tennis	match_winner total_sets_over/under total_games_over/under asian_handicap exact_score
🏀 Basketball	1x2 moneyline asian_handicap over/under
🏉 Rugby League	1x2 home_away double_chance draw_no_bet over/under handicap
🏉 Rugby Union	1x2 home_away double_chance draw_no_bet over/under handicap
🏒 Ice Hockey	1x2 home_away double_chance draw_no_bet btts over/under
⚾ Baseball	moneyline over/under
🏈 American Football	1x2 moneyline over/under asian_handicap

100+ leagues supported across all sports — Premier League, La Liga, Serie A, NBA, NFL, MLB, NHL, ATP/WTA Grand Slams, and many more.

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CLI Usage

OddsHarvester has two main commands: upcoming and historic. They share most options, with a few command-specific ones.

oddsharvester upcoming

Scrape odds for upcoming matches — by date, by league, or by specific match URL.

# By date
oddsharvester upcoming -s football -d 20250301 -m 1x2 --headless

# By league (scrapes all upcoming matches for that league)
oddsharvester upcoming -s football -l england-premier-league -m 1x2,btts --headless

# Multiple leagues
oddsharvester upcoming -s football -l england-premier-league,spain-laliga -m 1x2 --headless

# Specific match URLs
oddsharvester upcoming -s football --match-link "https://www.oddsportal.com/football/..." -m 1x2

# Preview mode (faster — average odds only, no individual bookmakers)
oddsharvester upcoming -s football -d 20250301 -m over_under --preview-only --headless

oddsharvester historic

Scrape historical odds and results for past seasons.

# Single league & season
oddsharvester historic -s football -l england-premier-league --season 2022-2023 -m 1x2 --headless

# Current season
oddsharvester historic -s football -l england-premier-league --season current -m 1x2 --headless

# Limit pagination
oddsharvester historic -s football -l england-premier-league --season 2022-2023 -m 1x2 --max-pages 3 --headless

# Output as CSV
oddsharvester historic -s football -l england-premier-league --season 2024-2025 -m 1x2 -f csv -o premier_league_odds --headless

CLI Options Reference

Core Options

Option	Short	Description	Default
--sport	-s	Sport to scrape (football, tennis, basketball, etc.)	required
--date	-d	Target date in YYYYMMDD format	—
--league	-l	Comma-separated league slugs (e.g. england-premier-league)	—
--market	-m	Comma-separated markets (e.g. 1x2,btts)	—
--match-link		Specific match URL (repeatable). Overrides --sport, --date, --league	—

upcoming only: --date is required unless --league or --match-link is provided. --date and --league can be combined to filter the league's upcoming matches down to a specific calendar day. When combining both, the reference timezone for resolving the date is --timezone if provided, otherwise UTC.

historic only:

Option	Description	Default
--season	Season: YYYY, YYYY-YYYY, or current	required
--max-pages	Max number of result pages to scrape	unlimited

Output Options

Option	Short	Description	Default
--storage		local or remote (S3)	local
--format	-f	json or csv	json
--output	-o	Output file path	scraped_data

Browser & Scraping Options

Option	Short	Description	Default
--headless		Run browser in headless mode	False
--concurrency	-c	Concurrent scraping tasks	3
--request-delay		Delay (sec) between match requests	1.0
--user-agent		Custom browser user agent	—
--locale		Browser locale (e.g. fr-BE)	—
--timezone		Browser timezone (e.g. Europe/Brussels)	—

Proxy Options

Option	Description
--proxy-url	Proxy URL (http://... or socks5://...)
--proxy-user	Proxy username
--proxy-pass	Proxy password

Tip: For best results, match --locale and --timezone to your proxy's region.

Advanced Options

Option	Description	Default
--target-bookmaker	Filter odds for a specific bookmaker	—
--odds-history	Include historical odds movement per match	False
--odds-format	Odds display format	Decimal Odds
--preview-only	Fast mode — average odds only, no bookmaker details	False
--bookies-filter	Bookmaker filter: all, classic, or crypto	all
--period	Match period (sport-specific: full-time, halves, etc.)	sport default

Preview Mode vs Full Mode

Aspect	Full Mode	Preview Mode
Speed	Slower (interactive)	Faster (passive)
Data	All submarkets + bookmakers	Visible submarkets + avg odds
Bookmakers	Individual bookmaker odds	Average odds only
Odds History	Available	Not available
Structure	By bookmaker	By submarket (avg odds)

Preview mode (--preview-only) is useful for quick exploration, testing data format, or light monitoring with reduced resource usage.

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Environment Variables

All CLI options can be set via environment variables — useful for Docker or CI/CD.

View all environment variables

Variable	CLI Option	Description
OH_SPORT	--sport	Sport to scrape
OH_LEAGUES	--league	Comma-separated leagues
OH_MARKETS	--market	Comma-separated markets
OH_STORAGE	--storage	Storage type (local/remote)
OH_FORMAT	--format	Output format (json/csv)
OH_FILE_PATH	--output	Output file path
OH_HEADLESS	--headless	Run in headless mode
OH_CONCURRENCY	--concurrency	Number of concurrent tasks
OH_REQUEST_DELAY	--request-delay	Delay between requests (sec)
OH_PROXY_URL	--proxy-url	Proxy server URL
OH_PROXY_USER	--proxy-user	Proxy username
OH_PROXY_PASS	--proxy-pass	Proxy password
OH_USER_AGENT	--user-agent	Custom browser user agent
OH_LOCALE	--locale	Browser locale
OH_TIMEZONE	--timezone	Browser timezone ID

export OH_SPORT=football
export OH_HEADLESS=true
export OH_PROXY_URL=http://proxy.example.com:8080

oddsharvester upcoming -d 20250301 -m 1x2

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Installation

With pip (from PyPI)

pip install oddsharvester

From source (with uv)

git clone https://github.com/jordantete/OddsHarvester.git
cd OddsHarvester
pip install uv
uv sync

Manual setup (venv + pip or poetry)

python3 -m venv .venv
source .venv/bin/activate    # Unix/macOS
# .venv\Scripts\activate     # Windows

pip install . --use-pep517
# or: poetry install

Verify installation:

oddsharvester --help

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Docker

# Build
docker build -t odds-harvester:local --target local-dev .

# Run
docker run --rm odds-harvester:local \
  python3 -m oddsharvester upcoming -s football -d 20250301 -m 1x2 --headless

# Or with environment variables
docker run --rm \
  -e OH_SPORT=football \
  -e OH_HEADLESS=true \
  odds-harvester:local python3 -m oddsharvester upcoming -d 20250301 -m 1x2

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Cloud Deployment (AWS Lambda + Serverless)

OddsHarvester can be deployed on AWS Lambda using the Serverless Framework with a Docker image (Playwright exceeds Lambda's 50MB deployment limit).

Setup:

1. Build the Docker image and push to ECR
2. Configure serverless.yaml at the project root:
   • Set your AWS region, S3 bucket ARN, and IAM permissions
   • Default function: scanAndStoreOddsPortalDataV2 (2048MB, 360s timeout)
   • Triggers via EventBridge every 2 hours by default
3. Deploy:

sls deploy

Refer to the Serverless Framework docs for detailed setup instructions.

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Contributing

Contributions are welcome! Submit an issue or pull request. Please follow the project's coding standards and include clear descriptions for any changes.

License

MIT License

Disclaimer

This package is intended for educational purposes only. The author is not affiliated with or endorsed by oddsportal.com. Use responsibly and ensure compliance with their terms of service and applicable laws.