Discover and read the best of Twitter Threads about #webscraping

Most recents (7)

๐Ÿ’ฅ๐Ÿ”ฅ El Poder de los datos para #OSINT: ยฟQuรฉ tan expuesto estรก nuestra #HuellaDigital en internet?, ยฟEs fรกcil recopilar y vincular en diferentes servicios digitales nuestro #RastroDigital?, pues claro que si, y en este ๐ŸงตMEGAHILO๐Ÿงต, te enseรฑo como...

#Ciberinteligencia #Socmint Image
1โƒฃ Iniciaremos esta ciberinvestigaciรณn, desde un mensaje #Spam o #Phishing, esos que a diario se difunden en las diversas aplicaciones de mensajerรญas como WhatsApp.

๐Ÿ’ฅ El nรบmero de remitente empezaba con el cรณdigo de รกrea "+62", que al parecer era de Indonesia...

โฌ‡๏ธ Image
2โƒฃ Realizando una bรบsqueda inversa del telรฉfono podemos encontrar registros en los sgtes servicios digitales:
๐Ÿ’ฅ WhatsApp
๐Ÿ’ฅ Instagram
๐Ÿ’ฅ Google
Y lo mรกs importante... Una vinculaciรณn con una cuenta en:
๐Ÿ’ฅ Telegram
(Esto nos servirรก para continuar nuestra investigaciรณn)

โฌ‡๏ธ Image
Read 17 tweets
๐Ÿงต1/8 Loading datasets from various sources is crucial for data analysis. In this thread, we'll explore how to read datasets from different sources and software using R! ๐Ÿ“š #RStats #DataScience Image
๐Ÿงต2/8 CSV Files: The "read.csv" function is a go-to for reading comma-separated values files. For improved performance and more flexibility, consider using the "read_csv" function from the readr package or the fread function from the data.table package. ๐Ÿ“ƒ #CSV #RStats
๐Ÿงต3/8 Excel Files: The readxl package provides functions like "read_excel" for reading data from Excel files (.xls and .xlsx). Alternatively, the openxlsx package offers more features, including reading and writing Excel files. ๐Ÿ“Š #Excel #RStats
Read 9 tweets
๐Ÿ—’๏ธ๐’๐„๐Ž + Website Audit Templates๐Ÿ—’๏ธ

Spending Too long managing & performing SEO audits.

Try using these ๐†๐จ๐จ๐ ๐ฅ๐ž ๐’๐ก๐ž๐ž๐ญ๐ฌ website audit templates to help...

I will Share For you ๐Ÿ‘‡

"15+๐†๐จ๐จ๐ ๐ฅ๐ž ๐’๐ก๐ž๐ž๐ญ๐ฌ ๐€๐ฎ๐๐ข๐ญ๐ฌ ๐“๐ž๐ฆ๐ฉ๐ฅ๐š๐ญ๐ž๐ฌ"

//A Big Thread // ๐Ÿงต
1 : ๐“๐ž๐œ๐ก๐ง๐ข๐œ๐š๐ฅ ๐’๐„๐Ž ๐€๐ฎ๐๐ข๐ญ ๐‚๐ก๐ž๐œ๐ค๐ฅ๐ข๐ฌ๐ญ

This technical audit checklist makes SEO work faster, more effective, and more impactful.

๐†๐ซ๐š๐› ๐“๐ก๐ž ๐’๐ก๐ž๐ž๐ญ:
bit.ly/3rO8DRe
2: ๐‹๐จ๐œ๐š๐ฅ ๐๐ฎ๐ฌ๐ข๐ง๐ž๐ฌ๐ฌ ๐‚๐จ๐ฆ๐ฉ๐ž๐ญ๐ข๐ญ๐ข๐ฏ๐ž ๐€๐ฎ๐๐ข๐ญ

If you are #LocalSEO then check it ๐Ÿ‘‡

This Local SEO analysis spreadsheet look at the strengths and weaknesses of multiple businesses.

๐†๐ซ๐š๐› ๐“๐ก๐ž ๐’๐ก๐ž๐ž๐ญ:
bit.ly/3IINOh2

Resource : @Moz
Read 16 tweets
New post! Web Scraping with #Python 101

Learn how to build a web scraper with Python using Requests and BeautifulSoup libraries. We will cover, step-by-step, a scraping process on a job board.

zenrows.com/blog/web-scrapโ€ฆ
#WebScraping might be divided into for main steps:

1. Explore the target site before coding
2. Retrieve the content (HTML)
3. Extract the data you need with selectors
4. Transform and store it for its use
1/ Understand the page you're trying to scrape, not just the content but the structure.

Use DevTools to take a look and inspect its content. What can be scraped, and how is it displayed inside the page.
Read 8 tweets
๐Ÿ’œ Turn your GoogleSheets into a web scraping machine for SEO ๐Ÿ’œ

There is a lot that you can accomplish w/ GSheets. Let's start the new year with some super cool productivity hacks w/ the IMPORTXML function of it๐Ÿ’ก

#WebScraping #ProductivityHacks #GoogleSheets #SEO

It's a ๐Ÿงต
1. Extract Title Tags

This IMPORTXML Formula extract the title tag from the URL that is on cell "A1"
2. Extract Meta Description

This IMPORTXML Formula extract the meta description tag from the URL that is on cell "A1"
Read 7 tweets
Day 3 of #100DaysOfCode
Python.
Motivation, Don't Repeat Yourself.

1)Defining a function
def function_name(parameters_if_any):
"""indentation identifies the code block of a function"""
return data_if_any
Parameters: are variables in function definition.
Arguments: are the values put into parameters when functions are called.
Calling a function: function_name(arguments_if_any)
2)Modules
These are the codes written to perform useful tasks. Some modules are already part of standard library and others need to be
installed.

-To import an existing module e.g. math
import math #imports whole math module
Read 15 tweets
O BรSICO DA RASPAGEM DE DADOS

Publicamos materiais que ensinam sobre automaรงรฃo de coleta de dados na web.
Reunimos neste fio nossos tutoriais com algumas das principais ferramentas e mais informaรงรตes sobre as tรฉcnicas de raspagem.

Veja mais ๐Ÿ‘‡

#webscraping
2. Raspagem de dados รฉ uma das tรฉcnicas mais importantes para usar em investigaรงรตes que envolvem sistemas digitais.
Nela, um programa de computador extrai informaรงรตes de uma interface feita para a leitura humana, como pรกginas da Web e PDFs.
Saiba mais +๐Ÿ‘‡
escoladedados.org/tutoriais/raspโ€ฆ
3. Neste tutorial, mostramos algumas ferramentas bรกsicas para ajudar quem quer automatizar coleta de dados sem programaรงรฃo +๐Ÿ‘‡

escoladedados.org/tutoriais/ferrโ€ฆ
Read 6 tweets

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