This tutorial shows how to scrape OddsPortal event odds into CSV with the OddsPortal Scraper template for UScraper. You will prepare event URLs, import the workflow, set the export path, run a small validation batch, and troubleshoot the common issues that affect sports betting odds pages.
Before you start
Prerequisites before you scrape OddsPortal
You need UScraper installed as a local desktop app, a writable export folder, and a short list of OddsPortal event URLs you are allowed to process. Start from exact match pages, not a broad homepage crawl. The stock workflow is designed for event pages where bookmaker odds rows are visible after the page loads.
Before automation, review the current OddsPortal terms and OddsPortal robots.txt. Odds and bookmaker data can carry commercial reuse limits, regional restrictions, and gambling-related compliance concerns. This article is a workflow tutorial, not legal advice.
Technical access is not permission. Use small research batches, do not bypass CAPTCHA or access controls, and keep the source URL list with the exported CSV.
Workflow anatomy
How the OddsPortal scraper workflow works
The bundled JSON is the authoritative workflow definition. In plain English, the flow is:
Set Window Size -> Navigate -> Wait for Page Load -> Sleep
-> Accept visible cookie banner -> Wait for bookmaker rows
-> Structured Export -> Loop Continue
Navigation uses a multi-URL loop. That is intentional: the template expects you to provide the OddsPortal event pages you want to inspect, then it processes each page in sequence. It does not depend on in-page pagination.
The wait step looks for bookmaker links that match the event odds table. Structured Export then treats each bookmaker row as one CSV row. Page-level fields repeat across rows so you can group by event after combining multiple matches.
| Workflow stage | What it does | What to verify |
|---|---|---|
| Navigate | Opens each configured OddsPortal event URL | URLs are event odds pages, not broad listing pages |
| Cookie cleanup | Clicks a visible accept button when one appears | The banner is not covering bookmaker rows |
| Row wait | Waits for bookmaker odds links to render | The event page has a visible 1X2 market |
| Structured Export | Appends rows to a local CSV | Headers, filename, and save folder are correct |
| Loop Continue | Moves to the next input URL | One intended event page runs per loop pass |
Runbook
How to scrape OddsPortal event odds to CSV
Import the template
Open the OddsPortal Scraper template, download the JSON, and import it into UScraper.
Collect event URLs
Open OddsPortal in your browser, choose the sport, league, and match pages you are allowed to process, then copy the final event URLs into the Navigate block.
Set the export path
In Structured Export, confirm odds-portal-scraper.csv, headers, append mode, and a project-specific local save folder.
Run one visible event
Run a single URL first. Watch for cookie prompts, CAPTCHA, missing odds tables, or region-specific bookmaker rows before widening the batch.
Validate, then widen
Compare the CSV against the browser page. If title, bookmaker, odds, payout, and URL values look correct, add the rest of the approved event URLs.
Append mode is useful because each event can produce many bookmaker rows. It also means test rows can remain in the file. Use a dated filename or clear the CSV before reruns when you are changing URLs, waits, or selectors.
Output
OddsPortal CSV export fields
There is no separate CSV sample in the bundle, so the JSON export shape is the source of truth. The workflow writes one row per bookmaker row and includes page context with each row.
odds-portal-scraper.csvColumn
Title
Event title from the breadcrumb or page heading.
Column
Time
Visible event date and time when the page exposes it.
Column
Final_result
Final score text for completed events.
Column
Page_URL
Final loaded event page URL.
Column
Bookmakers
Bookmaker name from link text, image alt text, or path fallback.
Column
Link
Absolute bookmaker outbound link.
Column
Ratio_1
Home or first-side 1X2 decimal odds.
Column
Ratio_X
Draw decimal odds.
Column
Ratio_2
Away or second-side 1X2 decimal odds.
Column
Payout
Visible payout percentage when present.
Column
Current_Time
ISO timestamp recorded during export.
For analysis, sort by Page_URL and Bookmakers. One event should create multiple bookmaker rows, while one bookmaker row should not appear twice unless you intentionally reran the same event into the same append file.
Validation
Validate the OddsPortal CSV before using it
Open the CSV beside the browser after the first run. Check rows from the first event and the last event. If you plan to use the file in a model, dashboard, or report, save the source URL list, run date, sport, league, region, language, and any selector edits.
| Symptom | Likely cause | Fix |
|---|---|---|
| Zero rows exported | Bookmaker rows never rendered or a prompt blocked the table | Run visibly, handle allowed prompts, and keep the row wait |
| Missing bookmaker names | OddsPortal changed row markup or the image alt text is unavailable | Inspect one row and update the bookmaker selector logic |
| Shifted 1/X/2 odds | The selected event page exposes a different market layout | Confirm the visible market and refresh the parsing logic |
| Blank payout | The row does not expose a payout percentage in that view | Treat payout as optional or validate with a different event |
| Duplicate rows | The same event was appended twice | Dedupe by Page_URL, Bookmakers, and scrape timestamp |
Alternatives
OddsPortal scraper alternatives
There are several ways to scrape sports betting odds, and the right one depends on control, custody, and maintenance.
| Approach | Best fit | Trade-off |
|---|---|---|
| UScraper template | Analysts who want a no-code, local CSV export from known event URLs | Best for supervised research, not guaranteed live feeds |
| Python or Playwright scraper | Engineering teams that need full control over selectors and pipelines | Requires code, browser automation maintenance, and QA |
| Hosted scraping actors | Scheduled cloud runs and larger queue-based jobs | Vendor pricing, runtime, and data custody apply |
| Licensed odds feed | Production betting, redistribution, and service-level guarantees | Requires contract, budget, and feed integration |
Python tutorials, open-source packages, and hosted actors are useful when your team wants an engineering pipeline. UScraper is the lighter path when the immediate task is "scrape website to CSV" from a controlled list and inspect the output locally.
FAQ
OddsPortal scraper FAQ
OddsPortal pages may be visible in a browser, but automated access can still be restricted by OddsPortal terms, robots rules, bookmaker data rights, gambling regulation, geo-blocking, and local law. Review the current rules, keep runs modest, avoid bypassing controls, and get legal review before commercial reuse.
Next step
Download the OddsPortal scraper template
Download the free OddsPortal Scraper for Event Odds CSV Export, import it into the UScraper local desktop app, and run one validation event before adding a larger URL list. For adjacent workflows, browse the UScraper template library or read more UScraper blog tutorials.