Skip to main content

python-espncricinfo

PyPI Downloads CI Docs Python

A Python client for ESPNcricinfo match, series, season, team and player data.

Description

Match pages are loaded with Playwright (WebKit), because ESPN's CDN refuses plain HTTP clients; player, series, season and team records come from ESPN's core JSON API. A Match needs only a match_id; Match.get_recent_matches() and Series(...).matches list them.

Disclaimer: This library is not intended for commercial use and neither it nor its creator has any affiliation with ESPNCricInfo. The LICENSE for this library applies only to the code, not to the data.

Installation

uv add python-espncricinfo

Or with pip:

pip install python-espncricinfo

After installation, install the Playwright WebKit browser (required for fetching match data):

uv run playwright install webkit

Recent matches

Summary().matches lists the matches on ESPNcricinfo's results page. Pass a date to look back; ESPN returns about two weeks of matches ending on that day.

>>> from espncricinfo.match import Match
>>> refs = Match.get_recent_matches(date="2026-02-28")
>>> len(refs)
195
>>> refs[0]
MatchRef(series_id=1523975, match_id=1523981)
>>> series_id, match_id = refs[0]  # MatchRefs unpack like tuples

For one day only, Match.get_matches_on("2026-10-20") keeps the matches played that day, multi-day matches included on each of their days. Summary(date=...) wraps the same call; its result is in .matches.

A single match

A match needs only its match ID, the number in a match page URL. Passing the series ID too (Match(1478914, 1478874), or MatchRef.to_match()) skips a redirect. Loading a match starts a headless WebKit browser.

>>> m = Match(1478914)
>>> m.description
'IND Women v AUS Women'
>>> m.match_class
'WT20I'
>>> m.result
'IND Women won by 17 runs'
>>> m.batting_scorecard[0][0]["name"], m.batting_scorecard[0][0]["runs"]
('S Mandhana', 82)
>>> m.bowling_scorecard[0][0]["name"], m.bowling_scorecard[0][0]["wickets"]
('D Brown', 0)

To work through every match of a format, list a year's match IDs from Statsguru (1 Test, 2 ODI, 3 T20I, 8/9/10 the women's formats) and load each one. Each load starts a browser, so a year of Tests takes a minute or two:

>>> ids = Match.get_match_ids(2023, 1)
>>> len(ids)
34
>>> Match(ids[0]).description
'New Zealand v Pakistan'

batting_scorecard and bowling_scorecard hold one list per innings and one dict per player. over_by_over gives runs and wickets for every over, and each m.innings entry has fours and sixes.

m.ground loads the ground record (Ground in espncricinfo.grounds): name, city, country, capacity.

Players

The player ID is the number at the end of a player's profile URL.

>>> from espncricinfo.player import Player
>>> p = Player(277916)
>>> p.full_name
'Ajinkya Madhukar Rahane'
>>> p.get_data(file_name="rahane_tests.csv", match_format=1, data_type="batting")

get_data writes one row per match (85 Tests for Rahane); get_career_summary and get_career_averages write the summary tables from the same Statsguru page.

Series, seasons and teams

>>> from espncricinfo.series import Series
>>> ipl = Series(1449924)
>>> ipl.name
'Indian Premier League'
>>> season = ipl.current_season
>>> season.year, len(season.teams)
(2025, 10)
>>> season.teams[0].name
'Chennai Super Kings'

Seasons that cross New Year, like the Big Bash League's, each have their own series ID. Look one up by the label ESPNcricinfo shows:

>>> bbl = Series(8044)
>>> season = bbl.season("2024/25")  # also 2024, "2024-25" or "2024/2025"
>>> season.label, season.series_id
('2024/25', 1443056)

series.season_objects lists every season and season.match_refs that season's matches. series.matches collects MatchRefs across all seasons (1,254 for the IPL), and series.current_matches keeps those in progress. team.players loads the squad on demand. ESPN's records for some bilateral tours are incomplete, for example listing one team for a two-team series.

Development

Unit tests (no network required — uses recorded fixtures):

uv run pytest

Integration tests (hits live ESPN Cricinfo via Playwright):

uv run pytest --live

Refreshing fixtures (re-records fixtures from live site):

uv run python scripts/refresh_fixtures.py

Integration tests and the fixture refresh need the WebKit browser:

uv run playwright install webkit

Metadata

Release files for python-espncricinfo 1.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for python-espncricinfo 1.1.0
File Size Uploaded Provenance
python_espncricinfo-1.1.0.tar.gz 21.7 kB With provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for python-espncricinfo 1.1.0
File Interpreter ABI Platform
python_espncricinfo-1.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 47.0 kB

Release files / python_espncricinfo-1.1.0.tar.gz

Download URL python_espncricinfo-1.1.0.tar.gz
Size 21.7 kB
Tags Source
SHA-256 checksum
How to use checksums
eee0652b53575dca03fbacc950b22426f84ccf0fe4c5ee0c13f7906c45d716c1
BLAKE2b-256 checksum
How to use checksums
7acd2dd44c32b841fd8d26b596795f9ff5316889e528a31e764adca7d2ff3687
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 23, 2026.

Transparency log

Release files / python_espncricinfo-1.1.0-py3-none-any.whl

Download URL python_espncricinfo-1.1.0-py3-none-any.whl
Size 25.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
134912398284e6cd5713e169adc950d63d48bd7b803e3ef36f7c38f0a71fee44
BLAKE2b-256 checksum
How to use checksums
15d9f1f5f5a71e5437ff69908fb0777f7d0e53c233ea38fc548e3ab2529087df
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 23, 2026.

Transparency log

Security for python-espncricinfo 1.1.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for python_espncricinfo-1.1.0.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 23, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page