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OddsPortal Scraper for Event Odds CSV Export logo

OddsPortal Scraper for Event Odds CSV Export

This OddsPortal scraper exports public event odds pages into a structured CSV for sports data research, odds comparison, and spreadsheet review. Import the workflow into the UScraper local desktop app, add approved OddsPortal event URLs, and collect match title, time, final result, bookmaker links, 1X2 odds, payout, and scrape time without writing code.

Output

CSV

Fields

11

Inputs

Multiple URLs

Waits

Built in

Template

Free

At a glance

Export OddsPortal odds to CSV from event pages

OddsPortal event pages can show different bookmaker rows by sport, region, availability, and session state. This template keeps the workflow narrow: it starts from a list of exact event URLs, waits for the bookmaker odds rows to appear, then exports the fields analysts usually need for a reproducible snapshot.

Use it when you need OddsPortal scraping for a known list of matches and want a local CSV you can inspect in Excel, Sheets, a BI tool, or a model-prep pipeline. For sanctioned redistribution, official coverage, or service-level guarantees, compare the export against licensed sports odds feeds before deciding which source fits the project.

Bookmaker rows in a spreadsheet

Export bookmaker name, outbound link, 1/X/2 prices, payout, event context, and scrape timestamp in one local file.

Multi-URL loop included

Add multiple event pages to the Navigate block and let the workflow append rows from each page into the same CSV.

Local desktop execution

The stock workflow writes to your configured folder and does not route the CSV through a hosted scraping actor.

Waits are already wired

Page load waits, short sleeps, and a bookmaker-row check reduce empty exports when dynamic odds tables load slowly.

Who this is for

OddsPortal data extractor use cases

Sports data researchers

Event snapshots

Favorable to scraping

Collect bookmaker rows for selected fixtures and keep the exported CSV beside research notes, input URLs, and run timestamps.

Odds analysts

Manual comparison

Nuanced outcome

Review 1X2 prices and payout values across bookmakers, then decide whether a licensed odds feed is needed for continuous monitoring.

No-code operators

Workflow prototyping

Favorable to scraping

Test waits, region behavior, cookie handling, and CSV fields before asking a developer to build a maintained production pipeline.

For adjacent sports datasets, pair this workflow with the Rushbet scraper, Sportium scraper, and Transfermarkt game schedule scraper. The full UScraper template library includes search, news, marketplace, and finance templates for follow-up enrichment.


How to use

Configure the OddsPortal scraper workflow

1

Download and import

Download the hosted JSON template, then import it into UScraper.

2

Add event URLs

Replace the sample OddsPortal event URLs in the Navigate block with the football or sport event pages approved for your research run.

3

Confirm the save folder

Structured Export appends to odds-portal-scraper.csv with headers enabled. Change the save location before client, league, or date-specific batches.

4

Run the loop

UScraper sets the browser size, navigates, waits for load, dismisses a visible cookie banner when found, waits for bookmaker rows, exports, and advances to the next URL.

5

Open and audit the CSV

Spot-check row counts, missing bookmakers, region differences, and decimal odds before using the file in reports or downstream analysis.

Output preview

CSV columns produced by the OddsPortal odds scraper

The export keeps one row per bookmaker row found on each event page. Page-level fields repeat so you can filter, join, or group rows after combining several fixtures.

TitleTimeFinal_resultBookmakersRatio_1Ratio_XRatio_2Payout
Liverpool - AtalantaThursday, 11 Apr 2024, 20:00Final result 0:3ExampleBook1.524.306.1094.8%
Chelsea - BurnleySaturday, 30 Mar 2024, 15:00Final result 2:2SampleOdds1.444.807.2093.9%
Brentford - Manchester UnitedSaturday, 30 Mar 2024, 20:00Final result 1:1DemoBet3.253.602.2095.1%
odds-portal-scraper.csv
CSV - UTF-8 - Append

Column

Title

Event title from the breadcrumb or page heading, cleaned of trailing odds text.

Column

Time

Visible event date and time when the page exposes it.

Column

Final_result

Final score text when OddsPortal displays a completed result.

Column

Page_URL

Final loaded URL for the event page.

Column

Bookmakers

Bookmaker name from link text, image alt text, or link path fallback.

Column

Link

Absolute bookmaker outbound link from the odds row.

Column

Ratio_1

Home or first-side 1X2 decimal price.

Column

Ratio_X

Draw price from the 1X2 market.

Column

Ratio_2

Away or second-side 1X2 decimal price.

Column

Payout

Visible payout percentage for the row when present.

Column

Current_Time

ISO timestamp recorded when the row is exported.

Headers included - every configured OddsPortal event URL appends into one file

Frequently asked questions

OddsPortal pages may be publicly visible, but automated collection can still be limited by OddsPortal terms, robots directives, bookmaker data rights, gambling regulation, geo-blocking, and local law. Use modest research runs, do not bypass access controls, and get legal review before republishing or commercializing exported odds.

Before you run

Practical limits and maintenance notes

OddsPortal may challenge or restrict sessions based on region, traffic pattern, or page behavior. Keep batches modest, avoid parallel runs against the same target, and stop when the page shows a challenge instead of odds rows.

Download the free template, install the local desktop app from UScraper download, and use this workflow whenever you need to export OddsPortal odds into a structured local CSV.

Get Started

Download and use this template instantly

$50Free

What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

Open-source templates

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

Contribute on GitHub

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Available on Windows 10+ and macOS 12+ · Need help? [email protected]