Services

Data-capture

We help you to get and organize information from public data or different websites with scrapping.

Data-cleaning

We structure databases with information from multiple databases in multiple formats. Organization of information and standardization of variables.

Visualization apps

We create public data visualization applications so that your users can know and explore databases. We use the latest technologies in data visualization to communicate information.

Algorithms

We implement artificial intelligence algorithms to facilitate your work with data, from predictive algorithms to pattern recognition.

Web specials

We develop interactive web specials based on data. The specials have different visual components to guide your readers. See examples of our specials.

About us

Datasketch is a digital platform of investigative and data journalism. Our portal allows journalists, data scientists, social scientists and citizens in general to learn and consult on data visualizations, tools, software and in-depth research on various short-term issues. We have free data tools and different projects to bridge the gap between data and citizenship that facilitates the democratization of knowledge and a critical review of social realities based on information contrasts.

Our team

Juan Pablo Marín

Electronic engineer with a master's degree in computational statistics. Expert in data science with applications in multiple areas such as economics, hydrology and journalism.

Camila Achuri

Statistics and expert in R programming language. She has developed various applications of data visualization in mobility and open data subjects.

Juliana Galvis

Politologist and candidate for a Master in Digital Humanities. She is currently leading the development of the Who Is database, as well as supporting journalistic research and the creation of databases.

David Daza

Bachelor of Electronics. Expert in development of applications and websites with emphasis on data journalism and content management of multiple databases.

Verónica Toro

Anthropologist and researcher. Responsible for the management and organization of the data-community in Colombia and Latin America and provide support in journalistic investigations and the creation of databases.

Andrea Cervera

Journalist responsible for writing articles, provide investigative support and community manager.

Mariana Villamizar

Systems engineer and designer. Expert in user experience, data visualization and graphic communication. Feminist.

Contact

Scrapping for dummies? Spiranca comes to the rescue

February 28, 2016

After Kimono’s death, many developers and data journalist cried their eyes out. Losing such a good scraping tool made it hard for all of us who use data as our daily input. Luckily, developer Kevin Çobanaj decided to follow Kimono’s steps and will launch Spiranca, a new app that will allow anyone to easily crawl websites and turn them into structured API’s.

After Kimono’s death, many developers and data journalist cried their eyes out. Losing such a good scraping tool made it hard for all of us who use data as our daily input. Luckily, developer Kevin Çobanaj decided to follow Kimono’s steps and will launch Spiranca, a new app that will allow anyone to easily crawl websites and turn them into structured API’s.

 

To understand this new product, Datasketch got in touch with Çobanaj. This is what he told us:

 

1. Why launch Spiranca?

During my career as a developer and entrepreneur, I have built a lot of crawlers and similar tools to help facilitate the process. Since I was doing a lot of repetitive tasks which ended up being very time-consuming, I felt the need to build a service that serves me but as well other developers and non-technical guys in a very intuitive way.

 

2. When's the launching date?

Our goal is to launch by the end of March. But nothing confirmed yet.

 

3.How will it work?

You first set a data structure. Then, you simply select what you want to crawl through very few easy clicks. After that, you can choose what you want to do with those data. Either use them as an API or export them as JSON, CSV, excel or directly synchronize them with Google Sheets.

 

4. What difference will it have from Kimono?

Our main focus is enabling the end user to be able to easily and intuitively crawl any website. Be it custom built or not. So basically, crawl any website you want, no matter its structure.

 

5. Will it be free or a paid app?

We're thinking to start off by offering a free plan, but still a long way towards confirmation. But we can promise it will be so great that paying a few bucks for it won't feel like an expense, that's for sure.

 

María Isabel Magaña

Journalist, Master in Investigative Journalism and #DataViz. Thus, I see data everywhere. Promoting transparency through queremosdatos.co