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Screener.in needs no introduction. All
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of us traders and investors here in
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India use this extensively. Um,
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screener.in is an incredibly powerful
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tool for stock market enthusiasts,
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helping us filter stocks based on
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fundament parameters. Um, it allows us
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to build custom screens, apply complex
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financial filters and overall makes it
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really easy uh to scan and implement any
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complicated uh trading and investing
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strategy. But the way most people use
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this website uh uh is they code their
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scans and then they manually download
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download these results in an Excel sheet
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then apply a ton of Excel formulas on
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top. And this whole process is quite you
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know timeconuming and frustrating. How
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nice it would be if you can directly
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have your algo system interact with this
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website and automate all of this with a
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single click of a button. In this video
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I'll walk you through a simple but
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powerful Python scraper that will fetch
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data directly from your uh screener.in
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screen. Handle pagenations automatically
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so you get the the full list of stocks.
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Convert the extracted data into a nice
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pandas data frame for easy analysis. And
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finally, uh it'll let you save it as an
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Excel or a CSV CSV file so that you can
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analyze it at your own convenience. And
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the best part is that it's very easy to
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implement and requires very minimal
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setup. Even if you're not a coding
1:03
expert, uh I'll break it down step by
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step so you can start using it right
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started. If this is your first time
1:09
here, welcome. My name is Vive and I'm a
1:11
financially independent algo trader.
1:12
This channel is all about building a
1:14
community of algo traders. We discuss
1:15
everything about our trading using
1:16
Python, building and back testing
1:17
trading strategies, market updates, and
1:19
much more. Please do visit our community
1:20
website fabtrader.in Also do check out
1:22
my other YouTube channel, Fab Wealth,
1:24
where I talk about my own financial
1:25
independence journey and share tools,
1:27
methods, and strategies that help me
1:28
achieve my financial freedom. Thank
1:32
you. All the details that I'm about to
1:34
share with you are currently available
1:35
in the the blog article. I'll provide a
1:37
link to this in the description as well
1:38
as it on the comment section. So this
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has a detailed account of everything
1:42
that I'm just covering um including you
1:44
know what the dependencies you'd have to
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install and the the entire Python code
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is available so that you can just copy
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and use it as you want. U and also uh
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I've given you a practical example of
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how I've used this uh in my own uh one
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of the strategies. If you want to see
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the utility in action uh click on this
1:58
one where I've created another article.
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In this article I cover uh one of
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Shankarnat's strategies investing
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strategies which is called the GAP which
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is growth at reasonable prices. Um where
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he basically gives you a very detailed
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uh screen uh for finding stocks within
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for the strategy and based on this back
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test uh he he almost got 115% return
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right. Uh so typically uh if you want to
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apply this uh you know the filter and
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then download the excel sheets apply all
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of the logics involved in it uh it's at
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least going to take you a couple of
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hours to do it but this Python
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implementation here which exactly uses
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the the utility that I'm just about to
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walk you through does that with a single
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click of a button right so that's how
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simple you could use that utility and
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build really complex strategies for
2:33
yourself if you haven't joined our
2:35
telegram group please do so I share
2:37
market insights algo trading tips and
2:38
new video notifications and this way you
2:40
can stay up to date with our community
2:42
events before I walk you through uh the
2:44
Python code this is what exactly the
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Python code is going to be doing here is
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a screen that I've already saved on
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screener.in this is the one and these
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are the results so the idea is when I
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run the screen all of this information
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that you see on the screen would need to
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be downloaded into a pandas data frame
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and that's the overall idea and this is
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the Python implementation of the scanner
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uh the the things that you have to do is
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very very simple only you have to do a
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couple of things first thing is you will
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have to uh install the dependencies
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these three ones ensure that the
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beautiful soup you are installing the
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latest one the time of the recording of
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my video 4.11.2 two works on the the
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screener.in anything lesser than this
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you know it gives you some error so it's
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important that you know you install the
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latest one I'm currently using uh 3.13
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uh for Python version the the other one
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only other thing that you need to do is
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just give the link of your screen uh
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from screener.in And that's all you need
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to do and then when you run it, it
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provides you an output just like this, a
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Python pandas data frame of the actual
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results that you see on the the website.
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So hope you like this little tool. Uh
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I'll give you a couple of examples of uh
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on how I've used this on a couple of
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strategies, complex strategies. So you
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can take a look at this from the the
3:40
blog and then try this you sit and see
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how it goes. And if you have any
3:44
feedback or suggestions uh please do let
3:45
me know in the comments and I'll
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it. If there are any other popular tools
3:51
like this where you think some
3:52
automation would help everyone, please
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do suggest that as well. And if I
3:54
permits, I'll definitely, you know,
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build scripts for those ones as well. If
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you genuinely found this video useful,
4:00
please consider subscribing and liking
4:01
the video. And I will see you soon in
4:03
another video. And until then, take care
