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C:\Users\hp>wget -v wget: missing URL Usage: wget [OPTION]... [URL]... Try `wget --help' for more options. this is what mine is saying after following the instructions

Thank you my friend, you help me a lot

I get this error on Windows 10 22h2 the specified image file is valid, but not for a computer of a different type than the current computer. How can I solve it?

I tied up *so many* IT resources before finding this. Thank you!

Thanks for sharing

'wget' is not recognized as an internal or external command, operable program or batch file. what should i do?

its so frustrating how inaccessible wget is to windows machines

Thank you!

but at this time you nee gpg keys and so on.. the tut is incomplete

thank you, man, easy and straight to the point.

Thanks a lot!

thank you so much no version on the internet worked for me except your video

Thank you

Thanks =].

This helped a ton as someone who's new to Python. Thank you, sir!

Works!

Dosent work bud thanks for time waste

Thank you!

thanks !!

which is better wget or Invoke-webrequest?

took me 30 minutes surfing through the web for answers only for this 3 minute video to save me. Thank you.

nice clip very very usefull

I followed your instructions but Wget is still not found in command prompt. What could I be doing wrong?

Thanks man!

This was helpful Jean-Christophe, thank you!

doesnt work with window 11

what password? Computer password?

It wasn't working until I put the python path on the program/script section with "quotations", I don't know why but that's how I got it running

This was awesome! Many thanks! But is this also usable in other languages like arabic, persian, chinese, etc?

thanks so much sir. before your video, I wasted 2 hours of my time trying to make this work.

Can we export urls/pages with all keywords for that pages? I want to export data and import it to sql DB and than simple to get all keywords per page...is it possible? I don`t need seperate data, one file with all pages with impressions/clicks and other file with keywords and some stats...

So much easier than every article i read on google. Thanks!

Easy and quick tutorial!

uh]

A short and straightforward video is what I needed! Great video!

<3

Thanks! worked perfectly!

Great to see VIM in use, thanks, liked and subbed!

@everyone you dont need to install git you can also just use command prompt

mine says missing URL

it doesnt work on RDP

Saved my day! Thanks for the very helpful video ❤

hey thanks man that was really helpful I just got into coding today and im looking for new beginner things to do. That was clear and helped a lot 👍 :)

Hola, a mi no me funciona!!

Thank you💐👌

🎯 Key Takeaways for quick navigation: 00:00 🎉 The speaker is excited to be at the Melbourne SEO Meetup and emphasizes the benefits of learning Python for SEO. 01:12 🧰 Python offers diverse benefits to different types of SEO professionals: small site owners can automate marketing and build free SEO tools, agencies can enhance reporting and create reusable scripts, and larger websites can engage in data analysis and API usage. 03:04 🐍 Python provides several key reasons to be used in SEO: it can replace Excel for data manipulation and reporting, leverage APIs for data collection and automation, and create customized tools and automated testing for SEO tasks. 09:29 🕷️ Web scraping in Python can replace manual tasks, but specialized tools like Screaming Frog are more powerful and efficient for crawling large websites. 11:57 🔌 Python can interface with APIs effectively, offering access to data and functionalities from various sources such as Google Search Console, Wayback Machine, and Reddit, aiding in data extraction and analysis. 18:28 🗂️ Python allows you to build custom tools for SEO tasks, including web scraping for data collection, automated testing with Selenium, and even interactive analysis like prioritizing SEO improvements based on Lighthouse scores. 25:43 😄 The speaker highlights the fun and engaging aspect of using Python for SEO, encouraging experimentation and creativity while harnessing the power of the Python community. 26:09 🐍 Learning Python for SEO can provide valuable insights and automation capabilities. 26:50 🚀 Focus on tasks that have actual long-term benefits and can be replicated through automation. 28:02 🕵️‍♂️ Use Python to analyze SEO data, such as Bird Score, for understanding on-page optimization and content quality. 30:48 🦉 Bird Score analyzes SERPs to evaluate if your content aligns with Google's search results, useful but not a primary focus. 33:09 💻 Create Python apps to test SEO hypotheses, for example, analyzing timeouts, redirects, and more. 35:13 🔍 Understand how entities work using Python's Knowledge Graph API for evaluating content relevance. 37:54 🤖 Leverage Python for SEO automation, like automating tasks using task schedulers or Chrome. 42:47 👩‍💻 Learn Python basics through online courses and resources like DataCamp to get comfortable with the language. 43:53 🐼 Dive into learning Pandas, a powerful library for data manipulation and analysis in Python. 46:24 🐼 Embrace Pandas to enhance data handling, while gradually transitioning from tools like Excel and Google Sheets. 48:02 🌐 Learn GitHub to collaborate with web developers, understand code, and manage projects effectively. 49:00 🔧 Explore Python libraries for SEO tasks, like Advertools and Googlebot, for log analysis and automation. 50:06 🛠️ Consider building streamlined apps using tools like Streamlit or Flask for SEO automation and analysis. 51:18 🙌 Acknowledge and appreciate the contributions of SEO experts in the community for their guidance and support. 51:33 🐍 Learning Python for SEO can be challenging, but fellow SEOs and programmers are valuable resources for assistance and guidance. 52:13 🌐 The SEO community is tight-knit and helpful, especially within the smaller Python SEO subgroup. 52:37 🌐 J.R. Oaks and Vincent Teresi are acknowledged for their significant contributions to the Python SEO field. 53:09 🌐 Vincent Teresi developed a translation machine learning model for instant content translation across various languages. 53:51 🌐 Python is great for SEO, but other programming languages like JavaScript and Julia can also be effective for similar tasks. 54:28 🌐 There are various programming languages like JavaScript and Julia worth exploring for different applications beyond Python. 55:38 📊 Data analysis and manipulation tools like Pandas can significantly speed up tasks, making them more efficient. 56:19 📊 Python can be used to perform fuzzy string matching for identifying commonalities among URLs. 58:30 📊 Python's ability to perform automated processes with formulas or scripts can save time and provide insights for URL management. 59:12 📊 Using Python's APIs, like Google Search Console and Google Analytics, can help gather data without needing to crawl the entire website. 01:09:07 📊 Python scripting can automate tasks such as generating reports, which can save substantial time and improve efficiency in SEO analysis. Made with HARPA AI

good

which email we have to use here? The one from which my GitHub is created or the one you have used?

i tried but it said not found i need some help

THANK YOU SO MUCH