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Fernando Iriarte

Typical budget: $3,000 and under
Located in Mission Bay, AUK, New Zealand

Hi there! I'm Fernando. I've been working as a Python freelance developer for 2+ years. As a python developer I've been developing several web scraping scripts for different clients , providing them the data requested in different formats such as csv, json etc. My main achievement as a python developer is the development of several scripts(for a certain client) that interact with Cisco Meraki Dashboard using API and make settings changes in the organizations and networks, creates orgs and networks and also generate different sorts of data, exports them all to csv or json and generates DataFrames for further integration in other platforms.

PS* I've got solid knowledge in both Git and Github platforms.

I can help you with:

  • Web Scraping(Scrapy, bs4, requests, Pandas , API, Json, CSV)*Using Python3
  • Scripting - for any sort of interaction with Cisco Meraki Dashboard

I'm a very fast learner and I can quickly adapt myself to new systems and platforms. I take work very seriously and guarantee my clients a serious and focused approach towards any project I take on.

Lets work!

Cheers,

Fernando Iriarte

Ads_Scraper

Open external link https://github.com/FP2/Places.Ge_Scraper

A python3 script developed for a certain client that gets all the ads urls from a Georgian housing website according to the region scpecified and then generates a csv file containing all the data collected.

I've used bs4 and requests to do the scraping.

Cisco_Mereaki_API

Open external link https://github.com/FP2/Meraki_Devices_Statuses_Counter

A simple Python3.7 script developed to run in a Debian based server that interacts with Cisco Meraki's dashboard(via API) and counts the quantity of online and offline devices in each organization.

This script will generate two .txt files, the first containing all the organizations names as columns and the quantity of online devices for each org as a row. The second txt is for the offline devices. The last column 'tempo' in both of the txts contains the date and time in UTC which the script has been ran.

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