Ferret

Open source

Declarative web scraping

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+ 2
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$5 USD / month

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Top financial contributors

Organizations

1
WeAreOpenSource

$40 USD since Sep 2020

2
SerpApi

$5 USD since Dec 2020

3
Scraloud

$2 USD since May 2019

Individuals

1
Karim Naufal

$15 USD since Feb 2021

2
Aravind

$5 USD since Mar 2021

3
John Bampton

$3 USD since Apr 2020

Ferret is all of us

Our contributors 8

Thank you for supporting Ferret.

Vladimir Fetisov

Core Contributor

WeAreOpenSource

Financial Contributor

Total contributions

$40 USD

great potential

Karim Naufal

Financial Contributor

Total contributions

$15 USD

This tool and the vision behind it are amazing! 🙏🏻 And being an ArangoDB user myself, the AQL-like syntax is a blessing.

SerpApi

Financial Contributor

Total contributions

$5 USD

Aravind

Financial Contributor

Total contributions

$5 USD

John Bampton

Financial Contributor

Total contributions

$3 USD

Scraloud

Financial Contributor

Total contributions

$2 USD

Give them value they deserve

Budget


Transparent and open finances.

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Monthly financial contribution to Ferret (backer)

from WeAreOpenSource

+$5.00USD
Completed

Monthly financial contribution to Ferret (backer)

from Karim Naufal

+$5.00USD
Completed

Monthly financial contribution to Ferret (backer)

from WeAreOpenSource

+$5.00USD
Completed
$
Today’s balance

$55.52 USD

Total raised

$55.52 USD

Total disbursed

--.-- USD

Estimated annual budget

$106.85 USD

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Let’s get the ball rolling!

News from Ferret

Updates on our activities and progress.

Ferret v0.14.0 has been released!

Hello friends, Hope everyone is doing well. We are excited to announce that we've released a new version of Ferret! Also, Worker and Lab have been updated to work with this new release. Tune in and check out what's new in this release on ou...
Read more
Published on March 6, 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

Vladimir Fetisov

Core Contributor