How to scrape OTT streaming platforms(Netflix, Prime video, HULU, Hotstar, etc.) catalogue list with details like flixjini, justwatchit and other's do?
Some of the above services used to offer API's to 3rd party search services to help list their content but it does seem that most now do not.
Without this you may find you have to create your own web crawler and also have accounts for every service and region you want to crawl, which may make it unviable commercially. You also probably need to check the applicable laws in any regions you want to do this.
There are some open source web crawling solutions you could look at and also engage with the community on - e.g.
:
https://scrapy.org
Related
I want to know what keywords brings users to our website. The result should be such that, every time a user clicks on a link of the company's website, the page URL, timestamp and keywords entered in search are recorded.
I'm not really much of a coder, but I do understand the basics of Google Tag Manager. So I'd appreciate some solutions that can allow me to implement this in GTM's interface itself.
Thanks!
You don't track them. Well, that is unless you can deploy your GTM on Google's search result pages. Which you're extremely unlikely to be able to do.
HTTPS prevents query parameters to get populated for referrers, which is what the core reason for it is.
You still can, technically, track Google search keywords for the extremely rare users who manage to use Google via http, but again, no need to do anything in GTM. GA will automatically track it with its legacy keyword tracking.
Finally, you can use Google Search Console where Google reports what keywords were used to get to your site. That information, however, is so heavily sampled that it's just not joinable to any of the GA data. It is possible, however, to join GSC with GA, but that will only lead to GA having a separate report from GSC and that's it. No real data joins.
I am tasked with the development of a web page.
As a part of this, I also need to collect the details of browser used by the users to browse the web page (along with version, timestamp & IP).
Tried searching over the internet but maybe my search was not properly directed.
I am not sure how to go about this.
Any pointer to get me started here would help me a long way.
I would also like to know how to store the information thus collected.
Not sure if this is a good idea - but just thinking out loud - are there any online service/channel available where the data can be uploaded in real time - like thingspeak.
Thanks
Google Analytics is great, but it doens't give you the data (for free). So if you want your data in e.g. SQL format then I may suggest a you use a tool that collects the data for you and then sends it to Google Analytics.
We use Segment (segment.io, but there are probably other tools out there too) for this, they have a free plan. You will need to create a Warehouse in AWS and all your data will be stored there, incl. details of the browser (version, timestamp, IP).
Disclaimer: I do not work for Segment, but I am a customer.
Enable Google Analytics in your website, then after 1 week, take a look at the Google Analytics page to see data that was collected.
Follow the guide here to configure Google Analytics on your website: https://support.google.com/analytics/answer/1008080?hl=en
You should go for alternatives like Segment(https://segment.com/), Mixpanel(https://mixpanel.com/) and similars. They can guarantee consistency for your data and also integrate to many different analytics tools and platforms.
I'm a middle school student learning computer programming, and I just have some questions about search engines like Google and Yahoo.
As far as I know, these search engines consist of:
Search algorithm & code
(Example: search.py file that accepts search query from the web interface and returns the search results)
Web interface for querying and showing result
Web crawler
What I am confused about is the Web crawler part.
Do Google's and Yahoo's Web crawlers immediately search through every single webpage existing on WWW? Or do they:
First download all the existing webpages on WWW, save them on their huge server, and then search through these saved pages??
If the latter is the case, then wouldn't the search results appearing on the google search results be outdated, Since I suppose searching through all the webpages on WWW will take tremendous amount of time??
PS. One more question: Actually.. How exactly does a web crawler retrieve all the web pages existing on WWW? For example, does it search through all the possible web addresses, like www.a.com, www.b.com, www.c.com, and so on...? (although I know this can't be true)
Or is there some way to get access to all the existing webpages on world wide web?? (sorry for asking such a silly question..)
Thanks!!
The crawlers search through pages, download them and save (parts of them) for later processing. So yes, you are right that the results that search engines return can easily be outdated. And a couple of years ago they really were quite outdated. Only relatively recently Google and others started to do more realtime searching by collaborating with large content providers (such as Twitter) to get data from them directly and frequently but they took the realtime search again offline in July 2011. Otherwise they for example take notice how often a web page changes so they know which ones to crawl more often than others. And they have special systems for it, such as the Caffeine web indexing system. See also their blogpost Giving you fresher, more recent search results.
So what happens is:
Crawlers retrieve pages
Backend servers process them
Parse text, tokenize it, index it for full text search
Extract links
Extract metadata such as schema.org for rich snippets
Later they do additional computation based on the extracted data, such as
Page rank computation
In parallel they can be doing lots of other stuff such as
Entity extraction for Knowledge graph information
Discovering what pages to crawl happens simply by starting with a page and then its following links to other pages and following their links, etc. In addition to that, they have other ways of learning about new web sites - for example if people use their public DNS server, they will learn about pages that they visit. Sharing links on G+, Twitter, etc.
There is no way of knowing what all the existing web pages are. There may be some that are not linked from anywhere and noone publicly shares a link to them (and doesn't use their DNS, etc.) so they have no way of knowing what these pages are. Then there's the problem of the Deep Web. Hope this helps.
Crawling is not an easy task (for example Yahoo is now outsourcing crawling via Microsoft's Bing). You can read more about it in Page's and Brin's own paper: The Anatomy of a Large-Scale Hypertextual Web Search Engine
More details about storage, architecture, etc. you can find for example on the High Scalability website: http://highscalability.com/google-architecture
I understand that same work should not be repeated when Google CSE is already there, so what may be the reasons to should consider implementing a dedicated search engine for a public facing website similar to SO(& why probably StackOverflow did that ?). Paid version of CSE(Google site Search), already eliminates several drawbacks that forced dedicated implementation. Cost may be one reason to not choose Google CSE, but what are other reasons ?
Another thing I want to ask is my site is similar kind as StackOverflow, so when Google indexes its content every now & then, won't that overload my database servers with lots of queries may be when there is peak traffic time?
I look forward to use Google Custom search API but I need to clarify whether the 1000 paid queries that I get for 5$ are valid only for 1 day or they get adjusted to extra queries(beyond free ones) on the next day & so on. Can anyone clarify on this too?
This depends on the content of your site, the frequency of the updates, and the kind of search you want to provide.
For example, with StackOverflow, there'd probably be no way to search for questions of an individual user through Google, but it can be done with an internal search engine easily.
Similarly, Google can outdate their API at any time; in fact, if past experience is any indication, Google has already done so with their Google Web Search API, where a lot of non-profits that had projects based on such API were left on the street with no Google options for continuation of their services (paying 100 USD/year for only 20'000 search queries per year, may be fine for a posh blog indeed, but greatly limits what you can actually use the search API for).
On the other hand, you probably already want to have Google index all of your pages, to get the organic search traffic, so Google CSE would probably use rather minimal resources of your server, compared to having a complete in-house search engine.
Now that Google Site Search is gone, the best search tool alternative for all the loyal Google fans is Google Custom Search (CSE)
Some of the features of Google Custom Search that I loved the most, were :-
Its free (with ads)
Ability to monetise those ads with your AdSense Account
Tons of Customization options, including removing the Google branding,
Ability to link it with Google Analytics account, for highly comprehensive analytical report,
Powerful auto correct feature to understand the real intention behind the typos,
Cons : Lacks customer Support…
Read More: https://www.techrbun.com/2019/05/google-custom-search-features.html
I have a blog site, a WP 3.0 install. I've dropped Google Analytics' tacker code into the footer (a recommended technique I believe). I also have two different types of web statistic software available on the virtual server, through the hosting company. However the web statistics vary greatly. Why such variation?
Statitics --
http://pastebin.com/Nc10iGaA
Thanks a million!
Google removes bot hits from it's traffic. You might be seeing google bots in the other hit counts.
I would guess that the software counts analytics differently. You should look at the documentation to figure out what qualifies a "visit," which may exclude/include crawlers, certain user agents, certain access patterns, etc.