1676636786
This is a step-by-step guide on scraping Google maps place data with NodeJS.
Initially, we have to make a project in Node.js* and add npm packages , puppeteer-extra, puppeteer and puppeteer-extra-plugin-stealth for controlling Chromium (or Firefox, or Chrome but now we can only work with Chromium that is utilized by default) with a DevTools Protocol in both headless and non-headless modes.
To do that, in a directory with a project, open a command line to enter npm i puppeteer puppeteer-extra puppeteer-extra-plugin-stealth and npm init -y.
Note: In addition, you can utilize puppeteer with no extensions, but we strongly suggest to use that with puppeteer-extra-plugin-stealth and puppeteer-extra to prevent site detection that you are using a headless Chromium or a web driver. You could check that on a Chrome headless test site. The screenshot given here shows the difference.
Chrome extension SelectorGadget was used for grabbing CSS selectors just by clicking on required elements in a browser. The Gif image below shows the approach of choosing various parts of results.
After that, we "say" puppeteer and use StealthPlugin to write a place URL:
After that, we will write a function to get place information from a page:
And lastly, a function for controlling a browser, and find information:
Instead, you can utilize a Google Maps Places Result API from iWeb Data Scraping.
The difference here is that you don’t require writing any codes from the scratch and sustain it. You might also experience blocking from Google and varying selectors that will break a parser. As an alternative, you just have to repeat a structured JSON to get the required data. Check out your playground.
Initially, we have to make installation of google-search-results-nodejs. For doing this, you have to pass in the console: npm i google-search-results-nodejs
Note: For making search, we want a data parameter that must get set in next format:
Announce constants from necessary libraries:
After that, we write the required parameters to make a request:
After that, we wrap a search method from iWeb Data Scraping library with the promise to work further with search results:
And lastly, run a getJson function which gets place data and returns that:
Announce constants from necessary libraries:
Still if you are not comfortable with these long codes or if you want more clarity about web scraping Google Maps Places using NodeJS then contact iWeb Data Scraping now!
You can also contact us for all your mobile app scraping and web scraping services requirements.
know more : https://www.iwebdatascraping.com/scraping-google-maps-place-data-with-node-js.php
#Scraping Google Maps Place Data
#Google Maps Places Result API
#scraping Google maps place data with NodeJS.
1659713120
Seat Reservation with jQuery
In my Online Bus Reservation System project, I got queries from many people about how to implement seat selection screen effectively. So, I decided to write on it. This post explains how to implement seat booking with jQuery. It can be used in online Bus, flight, hotel, exam support, cinema and ticket booking system.
<h2> Choose seats by clicking the corresponding seat in the layout below:</h2>
<div id="holder">
<ul id="place">
</ul>
</div>
<div style="float:left;">
<ul id="seatDescription">
<li style="background:url('images/available_seat_img.gif') no-repeat scroll 0 0 transparent;">Available Seat</li>
<li style="background:url('images/booked_seat_img.gif') no-repeat scroll 0 0 transparent;">Booked Seat</li>
<li style="background:url('images/selected_seat_img.gif') no-repeat scroll 0 0 transparent;">Selected Seat</li>
</ul>
</div>
<div style="clear:both;width:100%">
<input type="button" id="btnShowNew" value="Show Selected Seats" />
<input type="button" id="btnShow" value="Show All" />
</div>
We will add seats in “#place” element using javascript.
To make it generalize, settings object is used.
var settings = {
rows: 5,
cols: 15,
rowCssPrefix: 'row-',
colCssPrefix: 'col-',
seatWidth: 35,
seatHeight: 35,
seatCss: 'seat',
selectedSeatCss: 'selectedSeat',
selectingSeatCss: 'selectingSeat'
};
rows: total number of rows of seats.
cols: total number of seats in each row.
rowCssPrefix: will be used to customize row layout using (rowCssPrefix + row number) css class.
colCssPrefix: will be used to customize column using (colCssPrefix + column number) css class.
seatWidth: width of seat.
seatHeight: height of seat.
seatCss: css class of seat.
selectedSeatCss: css class of already booked seats.
selectingSeatCss: css class of selected seats.
We will create basic layout of seats.
var init = function (reservedSeat) {
var str = [], seatNo, className;
for (i = 0; i < settings.rows; i++) {
for (j = 0; j < settings.cols; j++) {
seatNo = (i + j * settings.rows + 1);
className = settings.seatCss + ' ' + settings.rowCssPrefix + i.toString() + ' ' + settings.colCssPrefix + j.toString();
if ($.isArray(reservedSeat) && $.inArray(seatNo, reservedSeat) != -1) {
className += ' ' + settings.selectedSeatCss;
}
str.push('<li class="' + className + '"' +
'style="top:' + (i * settings.seatHeight).toString() + 'px;left:' + (j * settings.seatWidth).toString() + 'px">' +
'<a title="' + seatNo + '">' + seatNo + '</a>' +
'</li>');
}
}
$('#place').html(str.join(''));
};
//case I: Show from starting
//init();
//Case II: If already booked
var bookedSeats = [5, 10, 25];
init(bookedSeats);
init method is used to draw seats layout. Already booked seats array will be passed as argument of this method.
$('.' + settings.seatCss).click(function () {
if ($(this).hasClass(settings.selectedSeatCss)){
alert('This seat is already reserved');
}
else{
$(this).toggleClass(settings.selectingSeatCss);
}
});
$('#btnShow').click(function () {
var str = [];
$.each($('#place li.' + settings.selectedSeatCss + ' a, #place li.'+ settings.selectingSeatCss + ' a'), function (index, value) {
str.push($(this).attr('title'));
});
alert(str.join(','));
})
$('#btnShowNew').click(function () {
var str = [], item;
$.each($('#place li.' + settings.selectingSeatCss + ' a'), function (index, value) {
item = $(this).attr('title');
str.push(item);
});
alert(str.join(','));
})
When user clicks on available seat, it is selected and second click on same seat will unselect seat. Button “Show All” will show all booked seat numbers and “Show Selected Seats” will show selected seats only.
#holder{
height:200px;
width:550px;
background-color:#F5F5F5;
border:1px solid #A4A4A4;
margin-left:10px;
}
#place {
position:relative;
margin:7px;
}
#place a{
font-size:0.6em;
}
#place li
{
list-style: none outside none;
position: absolute;
}
#place li:hover
{
background-color:yellow;
}
#place .seat{
background:url("images/available_seat_img.gif") no-repeat scroll 0 0 transparent;
height:33px;
width:33px;
display:block;
}
#place .selectedSeat
{
background-image:url("images/booked_seat_img.gif");
}
#place .selectingSeat
{
background-image:url("images/selected_seat_img.gif");
}
#place .row-3, #place .row-4{
margin-top:10px;
}
#seatDescription li{
verticle-align:middle;
list-style: none outside none;
padding-left:35px;
height:35px;
float:left;
}
In my next post, you will get how to use this in asp.net project with sql server database .
https://www.pakainfo.com/seat-reservation-with-jquery-and-php/
1620466520
If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.
If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.
In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.
#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition
1676636786
This is a step-by-step guide on scraping Google maps place data with NodeJS.
Initially, we have to make a project in Node.js* and add npm packages , puppeteer-extra, puppeteer and puppeteer-extra-plugin-stealth for controlling Chromium (or Firefox, or Chrome but now we can only work with Chromium that is utilized by default) with a DevTools Protocol in both headless and non-headless modes.
To do that, in a directory with a project, open a command line to enter npm i puppeteer puppeteer-extra puppeteer-extra-plugin-stealth and npm init -y.
Note: In addition, you can utilize puppeteer with no extensions, but we strongly suggest to use that with puppeteer-extra-plugin-stealth and puppeteer-extra to prevent site detection that you are using a headless Chromium or a web driver. You could check that on a Chrome headless test site. The screenshot given here shows the difference.
Chrome extension SelectorGadget was used for grabbing CSS selectors just by clicking on required elements in a browser. The Gif image below shows the approach of choosing various parts of results.
After that, we "say" puppeteer and use StealthPlugin to write a place URL:
After that, we will write a function to get place information from a page:
And lastly, a function for controlling a browser, and find information:
Instead, you can utilize a Google Maps Places Result API from iWeb Data Scraping.
The difference here is that you don’t require writing any codes from the scratch and sustain it. You might also experience blocking from Google and varying selectors that will break a parser. As an alternative, you just have to repeat a structured JSON to get the required data. Check out your playground.
Initially, we have to make installation of google-search-results-nodejs. For doing this, you have to pass in the console: npm i google-search-results-nodejs
Note: For making search, we want a data parameter that must get set in next format:
Announce constants from necessary libraries:
After that, we write the required parameters to make a request:
After that, we wrap a search method from iWeb Data Scraping library with the promise to work further with search results:
And lastly, run a getJson function which gets place data and returns that:
Announce constants from necessary libraries:
Still if you are not comfortable with these long codes or if you want more clarity about web scraping Google Maps Places using NodeJS then contact iWeb Data Scraping now!
You can also contact us for all your mobile app scraping and web scraping services requirements.
know more : https://www.iwebdatascraping.com/scraping-google-maps-place-data-with-node-js.php
#Scraping Google Maps Place Data
#Google Maps Places Result API
#scraping Google maps place data with NodeJS.
1620629020
The opportunities big data offers also come with very real challenges that many organizations are facing today. Often, it’s finding the most cost-effective, scalable way to store and process boundless volumes of data in multiple formats that come from a growing number of sources. Then organizations need the analytical capabilities and flexibility to turn this data into insights that can meet their specific business objectives.
This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that’s designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You’ll also explore key benefits and common use cases.
As technology continues to evolve with new data sources, such as IoT sensors and social media churning out large volumes of data, there has never been a better time to discuss the possibilities and challenges of managing such data for varying analytical insights. In this Refcard, we dig deep into how data lakes solve the problem of storing and processing enormous amounts of data. While doing so, we also explore the benefits of data lakes, their use cases, and how they differ from data warehouses (DWHs).
This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.
#big data #data analytics #data analysis #business analytics #data warehouse #data storage #data lake #data lake architecture #data lake governance #data lake management
1614263355
PHP 8 google address autocompletes without showing the map. In this tutorial, i will show youhow to create a google autocomplete address web app using google address APIs in PHP.
Note that, Google autocomplete address API will return address and as well as latitude, longitude, place code, state, city, country, etc. Using latitude and longitude of address, you can show markers location in google map dynamically in php.
This tutorial guide to you step by step how to implement google places autocomplete address web application without showing google maps in PHP.
For implementing the autocomplete address in php, you will have to get the key from google console app. So, just go to the link https://cloud.google.com and get the google API key.
https://www.tutsmake.com/php-google-places-autocomplete-example/
#autocomplete address google api php #google places autocomplete example in php #google places autocomplete example without map in php #php google places autocomplete jquery #php google places autocomplete jquery example