As the question suggest, does the Google Custom Search API have function to return category (music, entertainment, news, gaming, etc) based on input keywords?
You can use Adwords Keyword Planner tool or display plannertool for getting related ideas of keywords.
Related
I am a long time customer of using the Custom Search API.
The problem - as described in the CSE documentation - is that the API is intended to search your own site and not the web in general. It misses results, for example from books.google.com, and results from other languages etc.
Is there another (paid) API that returns all results?
Sample search string: "الاستخدامات التالية من التطبيق"
(The above search gets 1 result in Google Search but 0 results in the Custom Search I am paying for.)
Thanks.
I didn't want to switch to Bing, but I was getting better results in the end.
For anyone else having this issue:
https://learn.microsoft.com/en-us/rest/api/cognitiveservices/bing-web-api-v7-reference
I'm currently building a book search application using the Google Books API. I am sending the search term to Google Books API via a query parameter string in URL.
Let's say I am searching for the book The Game of Chess by Harry Golombek.
If I submit to the API: "the game of chess h goiombek" with the name spelled wrong, the search results will not include the book that I am after.
However if I go to book search on Google and use the same search term, it will suggest "Did you mean: the game of chess h golombek". Only after clicking this will the correct book appear.
So how can I use Google's search engine to autocorrect my search terms? There are many resources on how to build you own did-you-mean functionality, however I want to use Google's.
Is there a way to do this?
Thank you!
Well i guess tihs is what you are looking for-
Autocomplete
I'm looking for an API that would give similar results to the Google's "people also search for" feature. So that, for instance, when I search for Stanley Kubrik, I see all the other film directors that people search for.
I know about the Freebase API but it simply provides information about the search item, not what other search items it may be related to.
There is also a TargetingIdeaSelector tool in Google AdWords API that shows related keywords, but that doesn't really range the results semantically.
Finally, there's a very simple Bing API that shows related searches (also here), but, again, it does not range information semantically.
Do you know of any API or maybe if there is something like that in Google's APIs that would show me related searches ranged semantically?
Google used to offer such API but it was decapricated a few years back. I am unsure why this was the case but my guess is because it housed no real benefit for them and likely cost a lot to maintain. most major search engines tend to not have search API's in my experience.
You could however try an make your own using a PHP and DOM Parser to parse the results from somewhere like google and export the data out as JSON.
available for download here http://simplehtmldom.sourceforge.net
This should pull out all the links from Google which you can then format out. You can parse all data and can target objects see the documentation for more
$search = $_GET['search'];
> $google_search = file_get_html('https://www.google.co.uk/?gws_rd=ssl#q=' . $search);
>
> foreach($google_search->find('a') as $item) {
> echo $item->href . '<br>';
> }
Hope that helps
The results that Google shows is based on massive amount of data that i guess built on "what X who searched for Y also searched for", "what other people similar to X who also searched for Y searched for" and so on. In addition maybe there is some reliance on semantic information coming from Freebase.
On an initiative to understand what kind of properties Google shows in their infoboxes, i.e. Why when we search for France we get a card with map, flag, capital, population ... etc. amongst the hundreds of properties relate to France i created a "Knowledge Base Extractor " that is able to parse the Google infobox and expose the data as RDF using the Fresnel Vocabulary.
The Algorithm implemented is the following:
Query DBpedia for all concepts (types) for which there is at least one instance that has a link to a Freebase ID
For each of these concepts pick (n) instances randomly
For each instance, issue a Google Search query:
if an infobox is available -> scrap the infobox to extract the properties
if no infoxbox is available, check if Google suggests "do you mean ... ?" and if so, traverse the link and look for an infobox
if no infobox or correction is available, disambiguate the concept (type) used in the search query and check if an infobox is returned
if Google suggests disambiguation in an infobox parse all the links in it -> it is best to find which suggestion maps to the current data-type we are using -> check the Freebase - DBpedia mappings
Cluster properties for each concept
I also capture that "people searched for" section, but you might also want to tweak it a bit more.
Also note that you might want to check the CSS selectors for the infobox as Google changes them often (maybe auto-generated). This is done in the options.json
"knowledgeBox" : "#kno-result",
"knowledgeBox_disambiguate" : ".kp-blk",
"property" : "._Nl",
"property_value" : ".kno-fv",
"label" : ".kno-ecr-pt",
"description" : ".kno-rdesc",
"type" : "._kx",
"images" : ".bicc",
"special_property" : ".kno-sh",
"special_property_value" : "._Zh",
"special_property_value_link" : "a._dt"
I'm trying to find out if there is a programmatic way to determine how far down in a search engine's search results my site shows up for given keywords. For example, my query would provide my domain name, and keywords, and the result would return a say 94 indicating that my site was the 94th result. I'm specifically interested in how to do this with google but also interested in Bing and Yahoo.
No.
There is no programmatic access to such data. People generally roll out their own version of such trackers. Get the Google search page and use regexes to find your position. But now different results are show in different geographies and results are personalize.
gl=us parameter will help you getting results from US, you can change geography accordingly to get the results.
Before creating this from scratch, you may want to save yourself some time (and money) by using a service that does exactly that [and more]: Ginzametrics.
They have a free plan (so you can test if it fits your requirements and check if it's really worth creating your own tool), an API and can even import data from Google Analytics.
Does anyone know how I could track what search terms people are using to arrive at my site. For instance, someone searchs google for 'giant inflatable house' and clicks through to my site. I want to be able to capture those keywords and which search engine they came from.
You must parse the referer. For exemple a google search query will contains: http://www.google.be/search?q=oostende+taxi&ie=UTF-8&oe=UTF-8&hl=en&client=safari
It's a real life query, yes I'm in Oostebde right now :)
See the query string. You can determine pretty easily what I was looking for.
Not all search engines are seo friendly, must major players are.
How to get the referer ? It depends on the script language you use.
You should use a tool like Google analytics.
Besides the Google Analytics, Google Webmaster Tools is also very useful. It can report a detail analysis of the search queries' impressions, clicks, CTR, position etc.