YouTube Parsers
What information is needed:
Name of the channel
Number of subscribers
Link to the channel (called)
The filter:
From how many subscribers I will to how many I will
with the gallon
Without Gloves
Everything
How does the parser work:
I give parser key words.
I show the filter, which channels to add to the table, for example from 10,000 subscribers, without a rubber.
Each key he sets into the search and gives me the necessary data in the form of a table (channel name, number of subscribers, clickable link)
On the opposite of each channel should be the buttons green and black, hardly speaking if the channel is normal, I add it to the list of channels with which I will work, if the channel is not very, I get black and add it to the black list.
Every channel that goes into any of the lists, no longer should go into further search, that is, if it once got me in search, so that in the future the parser no longer issued it to me, so that I always work with new channels.
Work results
Client's review of cooperation with freelancer
YouTube ParsersExcellent execution, performed the work well, the software is ready and works well.
The most important thing is always online, people who have a lot of experience with freelancers know what I am 🙂
Freelancer's review of cooperation with Yerbol Alipov
YouTube ParsersErbol is a good customer with whom it is pleasant to work. Not tortured with excessive questions and paid the project in time, in general the dream of any freelancer.
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555 35 1 3 Hello, I’ve already had experience working with YouTube parking. I can implement a script for you in Python programming language.
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694 16 0 I do it on C# wpf mvvm
with selenium webdriver + AngleSharp
A beautiful and comfortable interface.
Write to ls we will discuss the price of the line and all the nuances
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463 12 1 Hello, ready to complete your project after discussing a technical task (if you have it) or details.
I specialize in creating web applications, as well as a great experience in working with different APIs. During the development will be used such a set of technologies as: Python/Django, Python/YouTubeAPI, SQL (any SUBD you need).
At the end, the project will fully set up the Linux server for hotsing on it parser. As a bonus, I will give the supervisor.
You can also see examples of my work in the portfolio.
I will be happy to cooperate with you.
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136 I do it quickly and efficiently with a caston UI. Go to LS.
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