Ferret

COLLECTIVE

Declarative web scraping

This is Ferret's page Ferret

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Top financial contributors

Organizations

WeAreOpenSource

$130 USD since Sep 2020

SerpApi

$5 USD since Dec 2020

Scraloud

$2 USD since May 2019

Individuals

Karim Naufal

$85 USD since Feb 2021

Aravind

$5 USD since Mar 2021

John Bampton

$3 USD since Apr 2020

Ferret is all of us

Our contributors 8

Thank you for supporting Ferret.

Tim Voronov

Admin

Vladimir Fetisov

Core Contributor

WeAreOpenSource

backer

$130 USD

great potential

Karim Naufal

backer

$85 USD

This tool and the vision behind it are amazing!...

SerpApi

$5 USD

Aravind

$5 USD

John Bampton

$3 USD

Scraloud

$2 USD

Give them value they deserve

Budget

Transparent and open finances.

Monthly financial contribution to Ferret (backer)

Credit from WeAreOpenSource to Ferret • October 1, 2022

+$5.00USD

Completed

Contribution #91505

Monthly financial contribution to Ferret (backer)

Credit from WeAreOpenSource to Ferret • September 2, 2022

+$5.00USD

Completed

Contribution #91505

Monthly financial contribution to Ferret (backer)

Credit from WeAreOpenSource to Ferret • August 2, 2022

+$5.00USD

Completed

Contribution #91505

Today’s balance

$126.07 USD

Total raised

$184.22 USD

Total disbursed

$58.15 USD

Estimated annual budget

$76.85 USD

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Let’s get the ball rolling!

News from Ferret

Updates on our activities and progress.

Hot fix has arrived!

v0.16.1 fixes logical precedence in ternary operator condition.

Published on December 9, 2021 by Tim Voronov

New v0.16.0 release!

Ferret v0.16.0 is here and now it’s more stable, flexible, and faster! Read more on the project website: https://www.montferre...

Published on November 23, 2021 by Tim Voronov

v0.15.0

New Ferret v0.15.0 has been released! https://www.montferret.dev/blog/ferret-v0.15.0/

Published on April 26, 2021 by Tim Voronov

About

Ferret is a web scraping system. It aims to simplify data extraction from the web for UI testing, machine learning, analytics and more. Ferret allows users to focus on the data. It abstracts away the technical details and complexity of underlying technologies using its own declarative language. It is extremely portable, extensible and fast.

Our team

Tim Voronov

Admin

Vladimir Fetisov

Core Contributor