A Way to Internet Collect Data, 'Related to a Specific Subject'.

The Special Case: For Albanian Agritourism Users Data

GJOVALIN DEDA1, ORGEST ZAKA2

1Department of Computer Science, Faculty of Information Technology,

Aleksander Moisiu University, Durres,

Neighborhood no. 1, Currilave Street, Durres, 2001,

ALBANIA

2Department of Mathematics-Informatics, Faculty of Economy and Agribusiness,

Agricultural University of Tirana,

Paisi Vodica Street, 1025, Tirana,

ALBANIA

Abstract: - In this paper, we will present the way to collect the data related to agrotourism destinations (AGT)

in Albania. In the last years, there has been an increase in their number. AGT in our country continuously uses

various social media platforms, such as Facebook, Booking, Instagram, etc. there is a lot of data that is not

centred, and often contradictory or even incorrect, and very scattered about these websites. This makes it

difficult for interest groups (tourists, suppliers, etc.) to easily find information on different AGTs in Albania.

What these AGT destinations have in common is that they put their location on Google Maps along with other

details, such as business name, their website if they have one, booking methods, contact numbers, etc. Other

real data such as the star ratings of visitors and their comments or other information are created and enriched

over time. In this paper, we aim to have this information grouped and systematized in such a way that we can

analyze and study them. Through this paper, we offer a solution by developing algorithms and scripts that will

make it possible to collect and systematize data in a single database and systematically analyze such distributed

data for Agrotourism in Albania.

Key-Words: - Agrotourism, social networks, information technology, Google Maps, data collection, data

analysis.

Received: June 15, 2024. Revised: October 28, 2024. Accepted: November 23, 2024. Published: December 16, 2024.

1 Introduction

During the last years, agrotourism in Albania has

had a growing development and has increased the

focus of institutions to improve this sector. Such

destinations play an important role in the economic

development of rural areas. This sector, in Albania,

is very favored by climatic conditions, gastronomic

culture, diversity of relief, virgin nature, etc. The

economic importance of these points has increased

the attention to promotion and expansion.

Agrotourism destinations are not just tourist spots

but constantly interact with visitors through social

networks and various digital platforms, increasing in

this way the cooperation between them. Despite the

efforts in the promotion of these destinations, an

important challenge comes from the distribution of

information across different platforms and social

networks, this distribution represents an obstacle to

accessibility and comparability between them. The

non-existence of a platform with detailed

information and as complete as possible for

agrotourism where these points were grouped and to

have a more accurate overview of the results as

some of the neighboring countries have, as well as

the lack of studies for Albania regarding this

problem, prompted us to prepare this paper.

Recognizing these problems and knowing that

each subject places its location on Google Maps to

be easily found by interest groups (tourists,

suppliers, etc.), we have found a way to get this

information which includes essential details written

directly by users like websites they use, contact

numbers, ratings and visitor comments, etc.

However, a large amount of data continues to be

distributed across different social networks, giving

us fragmented information. To fix this problem, this

study presents the creation of algorithms and scripts

to systematically collect and analyze distributed

information. We will use an existing application to

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collect the information found on social networks or

other websites and we will create another

application that will collect the information found

on the Google Places Api site. We will have this

data in our database to analyze later. The main

objective is to centralize and simplify this

information, thus providing accurate and up-to-date

data on agrotourism in Albania. This not only

provides access to information for current and

potential visitors but also helps with valuable

information to interested parties engaged in the

development and management of these agrotourism

destinations. This study will also contribute to the

sustainable growth of agrotourism in Albania.

Utilizing the power of digital platforms, the work

envisages the creation of a unified and well-

organized database. In the end, our research aims to

create as much simplicity as possible for

agrotourism stakeholders in Albania by providing

updated digital information about agrotourism

points in Albania which will help them in their

decision-making.

2 Literature Review

In this section, we will present an analysis of several

different research and scientific works related to the

topic of the development of agrotourism, the digital

platforms used in that field, and the collection of

information in the rural environments where this

activity takes place. Our special focus is Albania

and finding and collecting information distributed,

in a single database.

2.1 The Development of Agrotourism in

Rural Places

The concept of AGT has received a lot of attention

in the academic literature as a good opportunity to

develop rural places. In papers [1] and [2], the

various advantages of agrotourism are presented,

starting from the diversification of the economy to

the preservation of cultural heritage. The first paper

focuses more on the long-term design of

agrotourism stakeholders while second paper looks

more at the impact of society and possible

commercialization. Effective strategies for the

promotion of agrotourism destinations must be

developed.

2.2 Digital Platforms used in Tourism

The role of digital platforms in the tourism industry

is widely studied. In the papers [3] and [4] the

effects of information technology in tourism

marketing are discussed. They also addressed the

importance of digital platforms in destination

promotion and visitor engagement. Both agree on

the very important role of information technology in

the development of tourism. They show that by

centralizing information they help tourists in

decision-making and information security. Even

though they agree on the importance of ICT, they

express different opinions on its importance. The

first thinks that ICT is more important for the

tourism industry, improving efficiency, competition,

and management, while the second emphasizes that

ICT helps tourists more in obtaining information

and making decisions.

2.3 Challenges of Fragmented Information

Studies on the challenges of fragmented information

in tourism provide useful insights. The paper [5]

explores the issues related to information distributed

on different online platforms, emphasizing the need

for centralized databases as an effective way to

manage destinations. In the paper [6] it is shown

that the information distributed in many sources

negatively affects the decision-making of tourists as

they cannot find all the complete information they

need, also discussed the information distributed in

social networks and the problems they bring while

in first paper the same problem of information is

dealt with, but they do not look at the problem of the

information found in social networks. The second

paper focuses more on the management of

information located in social networks by

systematizing and analyzing them while the first

paper focuses more on creating databases to

systematize information on tourist spots.

2.4 Community Involvement and User-

generated Data

In papers [7] and [8], the importance of community

involvement and user-generated data for destination

marketing was addressed. They agree on the

importance of information written by users, they

also think that social interaction and community

involvement through the data they create is

necessary. Regarding information technology, the

first paper focuses on the impact of user-generated

data on tourism marketing and decision-making,

while second paper shows more how information

technology and user-generated data can enrich and

personalize tourism experiences by fostering

innovation. In the first paper, personalization in the

tourist experience is not emphasized, while in

second paper they see this as very important to meet

the individual needs of travelers.

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2.5 Digital Platforms and Data Collection

In the papers [9], [10], [11] it is discussed about the

importance of digital platforms in the inclusion of

visitors as well as in improving the development of

agrotourism. They all agree that the collection and

analysis of data helps to improve the quality of

service to tourists. They also think that the

centralization of information is needed so that the

data can be managed easily. In the first paper, the

problems that come from being a rural area and the

lack of technological infrastructure and knowledge

are highlighted, while in second paper the

differentiation of digital levels between urban and

rural areas is made to more efficiently implement e-

tourism platforms. In the third paper the concern for

privacy is presented and data fragmentation is

suggested. In the first paper the inclusion of a wide

range of digital technologies is suggested,

introducing here also applications and social

networks from where we will receive the necessary

information for the development of agrotourism. In

the second paper the use of technologies for e-

tourism is further suggested while the third paper

focuses on the use of these data and technologies for

marketing.

Also, for a wider literature on issues related to

agrotourism, see the papers, [12], [13], [14], [15].

[16], [17], [18], [19], [20], where a variety of

viewpoints and studies on this sector are presented.

3 Methodology

In order to collect the information that is on social

networks and on Google Maps for the agrotourism

points that are located in Albania, our methodology

integrates two different methods for data collection.

At first, we will use a data scraper to download in

tabular form the various data entered by users and

by the agrotourism businesses themselves in social

networks or on various pages on Google. The data

obtained will be their names, locations, websites if

they have, user comments, ratings, etc. At the same

time, we will build a web application that connects

to the Google Places API for detailed data about

addresses, contacts, web pages if they have them,

ratings, comments, etc. This comes as a result of the

fact that each of these agro-tourism points tries to be

easily found by the interested parties by placing

their location on Google Maps. This site has also

attached other information on that point. Then, these

data sets will be collected and systematized in a

single database from where we will be able to make

comparisons without any technical obstacles. We

will make sure that we do not duplicate information

or receive wrong data. By periodically updating and

comparing the data obtained from the processing of

this database, useful results will be extracted to help

in the study and decision-making processes of the

stakeholders that will help in the sustainable

development of agrotourism in Albania.

4 Data Collection of Agrotourism

Destinations in Albania

In this section, we will present the two methods

used to collect data written by agrotourism

businesses and by customers located on social

networks as well as on Google Maps. The data is

checked for duplicates or deficiencies and added to

our database. The useful data that we will extract are

the names of these destinations, their location,

comments, ratings, websites or social networks they

use, etc. To accomplish this, we have used two

ways: Using Instant Data Scraper and Building an

application for receiving data from the API site.

4.1 Using Instant Data Scraper

First, we need to install a data scraper as an

extension in our Google Chrome browser. This

application will allow us to download the data

selected by us in tabular form in different formats

such as csv, json, etc. on the website where we are

located.

After installing the instant data scraper in our

Google Chrome browser, we searched with the

keyword "Agrotourizem Shqiperi". In the list of

results, we selected "countries" and then clicked on

the data scrapper icon. The table shown in Figure 1

shows the presentation of the results.

Fig. 1: Using data scraper

We change the table type until we reach the

results that suit us. The results are the name of the

agrotourism, the type of service, star ratings, the

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total number of comments, the city where it is

located, etc. These data can be downloaded in Excel

or copied directly. We have saved them in Excel

because we need them in tabular form to analyze

later. We will follow the same procedure for

booking and social networks. The results are

presented in Figure 2, Figure 3 and Figure 4.

Since the Booking platform is one of the most

used platforms for reservations, we are also

presenting the data that the data scraper collects

from this platform.

Figure 2 shows the data we receive from

Booking. In the resulting table, we get the names of

the agro-tourist points that are registered in the

booking. Reciprocally with nominations we have

comments, ratings, impressions of the location, etc.

The data can be copied or in our case, we

downloaded it in Excel.

Fig. 2: Agrotourism data from booking

The Facebook social network is one of the most

used networks by all age groups, everywhere in

Albania. For this reason, many of the Albanian

AGTs refer to this social network to advertise their

business, and to interact with their clients. We are

using a data scraper to collect data for some of the

AGTs with information presented on Facebook, and

specifically, in Figure 3, this data is presented.

Fig. 3: Information obtained from Facebook

On Facebook, we search for agrotourism and a

list of their profiles will be presented to us. Activate

the data scraper, which will present in a table all the

information that this social network has for them.

Let's look at the presented names of destinations that

have a Facebook profile, how many likes or follows

they have there, how many comments, etc.

In Table 1, a part of the table in Excel is

presented, which we obtained from the process that

generated Figure 1 regarding the locations of AGTs.

We now have this data ready to be checked for

errors or overlaps and save it in our database. We

will look at their uses below.

Table 1. Results obtained by data scraper

Similarly, we can generate complete Tables,

with data for each platform.

We can also use data scrapers for other

platforms, such as Instagram, Twitter, LinkedIn, etc.

4.2 Building and using a Web Application to

Retrieve Data from the API Site

A challenging goal for us is the building of a web

application that would be useful for our case. With

this application, we will get all the information

about the agrotourism points in Albania which are

located in the places API. We will add this data to

our database and also from this data we can display

them on the application interface (Figure 2). In the

application we have built, we can request the

agrotourism points located around a city to be

displayed. We want to illustrate with photos,

comments, and ratings received in real-time from

the place API.

First, we have built a query that we send to

Google Places API to bring us all the IDs of agro-

tourism businesses in Albania. These IDs are unique

text that represents a point registered in Google. To

make cooperation with Google possible, we have

created an account from which we got our code to

be able to continue sending requests to the API

platform. We have marked this personal code with

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'ourGoogleApiKey' in the code below because it is

personal.

const apiKey = 'ourGoogleApiKey'; const apiUrl =

'https://maps.googleapis.com/maps/api/place/textsearc

h/json';

const searchQuery = 'agrotourism Albania';

const fetchAgrotourismPlaces = async () => {

try { const response = await fetch(`${apiUrl}

?query=${encodeURIComponent(searchQuery)}&ke

y=${apiKey}`); const data = await response.json();

if (data.status === 'OK') {

const agrotourismPlaces = data.results;

const placeIds = agrotourismPlaces.map(place =>

place.place_id);

console.log('Agrotourism Place IDs:', placeIds); }

else { console.error('Error fetching data from Google

Places API:', data.status); } } catch (error) {

console.error('Error fetching data:', error); } };

fetchAgrotourismPlaces();

Below we have presented all the IDs that

Google gives us for each of the agrotourism points.

With these IDs, they are registered in Google Maps,

and through them, we can get all the other necessary

information:

{"Agroturizëm

Harapi":"ChIJB_CgejwDThMRtwAeWABwRmA",

"Agroturizem Faqedol":

"ChIJneZJ6C0BThMRuDn3uMOQfMI",

"Agroturizem shega":

"ChIJ09QzrAAFThMRqN7EY0EAgsA",

"Mrizi i Zanave - Restorant Agroturizëm":

"ChIJZ1msF5rkURMR1mv-ndiy5Sk",

"Hysaj Agroturizëm Restorant & Hotel &

Camping":"ChIJTfZdxe79TRMR8xgb1KoWCgg",

"Restorant Agroturizëm Gardenland":

"ChIJjaw5uzEdThMRNKGadqcU9XY",

"Agroturizëm Hylli i Dritës":

"ChIJ60fCDVnkURMRDMLISKP9lWE",

"Ullishtja Agroturizëm":

"ChIJ_6oztHnbTxMRmn95pUlRg40",

"Agroturizëm Rruga e Mullirit": "ChIJwbgBF-

j5TRMR0PvomAO9KWM",

"Bonum Agroturizem": "ChIJM-

kxR5EvUBMREXBWlzEGIO4",

"Agriturizem Loka":

"ChIJLy6eSkgrUBMRPZRPhq2mhjw",

"Agroturizem Marku":

"ChIJmTVQXLL_URMR0LQ-MjGBNKo",

"Nëna Dashuri Agroturizëm":

"ChIJBe6KHvxzURMR7TYdN7XJt7w",

"Lahuta e Vjetër Agroturizëm":

"ChIJ5WcU27rbURMRHYXqasr8vy8",

"KRONOS AGROTURIZEM":

"ChIJUX3UBDcpUBMRDO0VdDTINfs",

"Alpeta Agrotourism & Winery (Alpeta

Agroturizem)":

"ChIJq6qquoGeWhMRELpOwVzp0nM",

"Agroturizëm Ndryshe":

"ChIJ1xPI5C61URMRuITXJ1GWDik",

"Agroturizëm Lugina e Agrumeve": "ChIJe-

Emjh5vWxMR1I-0O0rSv8Q",

"FAMA - Agroturizem & Argetim":

"ChIJbbD4XEfbTxMR37pNRgELq3E",

"Sirena Agroturizëm":"ChIJOcRlSTzfTxMR7B-lc-

XJmMI",

"AGROTURIZEM PAJENGA FARM":

"ChIJf5O0_yRBUBMRlsYrQn8gS9I",

"Pema e Jetës Agroturizëm":

"ChIJG_CqwFjYTxMRILpFGlq2BnA",

"Agroturizëm Kodra e Gjelbër":

"ChIJQ5zIxCifWhMRsApkRMEH_3E",

"Agroturizem":

"ChIJ6ZVk_v7ZTxMRj9P33DOVqO0",

"Villa Bianca Agriturismo & SPA":"ChIJf-

T2CZopUBMRGa89DcgOYbs",

"Aromë Natyre Agroturizëm & Hotel":

"ChIJ98arTsQrThMR81bW2qhWLjE",

"Agroturizëm Eldi":

"ChIJY1Nnj0xFRRMRCzRvBzYaOHs",

"Agroturizem Gjepali":

"ChIJY_GcKNPXTxMR97Z9TIXopAg",

"Agroturizëm Via Egnatia":

"ChIJO_M4yYQbUBMR_mBl5L6XioQ",

"Bar Restorant Bardhi Agroturizem":

"ChIJOd85eNDNURMROzCAH8Vjw-E",

"Agroturizëm Bylis":"ChIJS-

LmTM63WhMRnRlCy02nW1g",

"Farma Sotira":

"ChIJQVZkrEBGWhMRf11DxkBToE0",

"Agroturizem Xhon Leti":

"ChIJ1x6DYxgzUBMRRohjVVBEalI",

"Agroturizëm Agabeu":

"ChIJ6QKwboe7WhMRWFZuT2dJVSE",

"Agroturizëm Cantina Cassar":

"ChIJYWYMnb4vUBMRkw_TMwBlaKo",

"Agroturizem Kantina Kopliku": "ChIJJxmm-

Sz7TRMR_VprtaJTvLM",

"Mulliri Sali Shijaku Pikë Turistike Bujtinë

Agroturizëm":"ChIJPcKkLcA5UBMR-vt1usSjOzY"}

In the next step, we have created a web

application that is able to communicate with the Api

place and extract the necessary information

automatically or according to the settings with the

search from the user in the search box. The

application sends requests to the Google Places API

using queries built according to the format specified

for the attributes we want to retrieve and their order.

In response, Google sends us data in JSON format

containing the requested details. In our case, we

have searched for attributes such as name, address,

contact number, comments, photos, web pages of

these countries if they have and other relevant fields

for each destination. A piece of code written for this

purpose is as follows:

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https://maps.googleapis.com/maps/api/place/deta

ils/json?

place_id=ChIJZ1msF5rkURMR1mv_ndiy5Sk&f

ields=name,formatted_address,geometry,types,ra

ting,user_ratings_total,opening_hours,photos,we

bsite,formatted_phone_number,international_pho

ne_number,reviews&key=ourPersonalGoogleAp

iKey

This is an example of query send to Google

ending. Each query ends with a key that is given

Google and is unique for every user. The responses

received from the API site in JSON are ready to be

processed and stored in the database or to be

displayed in the visual presentation of our

application.

Below is the visual presentation of the

application (Figure 4).

Fig. 4: The web application we used to collect data

from places API

As can be seen from Figure 4, in the first view

we see some photos of agrotourism points together

with some information about each one, such as the

type of service, ratings, number of comments on

Google, etc. If we want to look for agrotourism

spots near a certain location, it is enough to write

the name of the city in the search box and the

closest spots will appear.

A main piece of code for getting some data from

the API and displaying it:

"use strict";

var __awaiter=(this && this.__awaiter) || function

(thisArg, _arguments, P, generator) {

function adopt(value) { return value instanceof P ?

value : new P(function (resolve) { resolve(value); });

}

return new (P || (P=Promise))(function (resolve,

reject) {

function fulfilled(value) { try {

step(generator.next(value)); } catch (e) { reject(e); } }

function rejected(value) { try {

step(generator["throw"](value)); } catch (e) {

reject(e); } }

function step(result) { result.done ?

resolve(result.value) :

adopt(result.value).then(fulfilled, rejected); }

step((generator=generator.apply(thisArg,

_arguments || [])).next());

}); };

const express=require("express");

const axios=require('axios').default;

const apiKey='@here is my google places key';

module.exports=(() => {

let router=express.Router();

router.get('/initial', (req, res) => __awaiter(void 0,

void 0, void 0, function* () {

const agroturizem=yield

axios.get(`https://maps.googleapis.com/maps/api/plac

e/textsearch/json?query=agroturizem+albania&key=$

{apiKey}`); const

result=agroturizem.data.results.filter((e) => {

return e.hasOwnProperty('photos'); });

let photosArray=yield photosFilter(result);

result.forEach((e, i) => {

e['photolink']=photosArray[i];

}); return res.json({ location: result,

}); }));

router.get('/initial/:param', (req, res) =>

__awaiter(void 0, void 0, void 0, function* () {

const agroturizem=yield

axios.get(`https://maps.googleapis.com/maps/api/plac

e/textsearch/json?query=${req.params.param}&key=

${apiKey}`); const

result=agroturizem.data.results.filter((e) => {

return e.hasOwnProperty('photos'); });

let photosArray=yield photosFilter(result);

result.forEach((e, i) => {

e['photolink']=photosArray[i]; }); return

res.json({ location: result, }); }));

router.post('/search', (req, res) => __awaiter(void 0,

void 0, void 0, function* () {

const agroturizem=yield

axios.get(`https://maps.googleapis.com/maps/api/plac

e/textsearch/json?query=${req.body.search}&key=${

apiKey}`); const

result=agroturizem.data.results.filter((e) => {

return e.hasOwnProperty('photos'); });

let photosArray=yield photosFilter(result);

result.forEach((e, i) => {

e['photolink']=photosArray[i]; });

return res.json({ location: result, }); }));

router.post('/search/:param', (req, res) =>

__awaiter(void 0, void 0, void 0, function* () {

const agroturizem=yield

axios.get(`https://maps.googleapis.com/maps/api/plac

e/textsearch/json?query=${req.body.search}+"

Albania"&key=${apiKey}`); const

result=agroturizem.data.results.filter((e) => {

return e.hasOwnProperty('photos'); });

let photosArray=yield photosFilter(result);

result.forEach((e, i) => {

e['photolink']=photosArray[i]; });

return res.json({ location: result, });

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}));

function photosFilter(result) {

return __awaiter(this, void 0, void 0, function* ()

{ let photosArray=yield Promise.all(result.map((e)

=> __awaiter(this, void 0, void 0, function* () { let

photos=yield

axios.get(`https://maps.googleapis.com/maps/api/plac

e/photo?maxwidth=400&photoreference=${e.photos[

0].photo_reference}&language=sq&key=${apiKey}`,

{

maxRedirects: 0,

validateStatus: null,

});

let pdata=photos.data.toString();

let rlength=pdata.length; let

photosstring=`https://${pdata.substr(176, rlength -

205).toString()}`; return photosstring; })));

return photosArray; }); } return router; })();

4.3 Database Test Results

A challenging goal for us is the building of a web

application that would be useful for our case. With

this application, we will get all the information

about the agrotourism points in Albania which are

located in the places API.

Now that our MySql database is populated with

values, we can request results from it. To get these

results, we need to send several queries to the

database depending on the results we are looking

for. Since we are interested in the information

technology used by these agrotourism points, we are

trying to see which are the 5 agrotourism points that

have built their own website, their designations, and

the website links, taking first those with the highest

rating sorted by ratings. Along with this, we also

need the place where they are located.

We build a query with the parameters we are

looking for, which in the case of our table has this

form:

SELECT agroturism_site_name, website, ratings, city

FROM agrotourism_sites

WHERE website IS NOT NULL

ORDER BY ratings DESC

LIMIT 5;

After the query is sent to the database in Figure

5 we see the requested results:

Fig. 5: Top 5 agrotourism destinations that have

their own website selected by ratings

5 Conclusions and Recommendations

The study provides a solution to the collection of

distributed information about agrotourism

destinations in Albania using a Google Chrome

extension called data scrapper and the Google Maps

API through several queries, thus collecting

essential details from users. This centralization

effort results in a complete and easily accessible

database that can be used to analyze data, make

predictions, see periodic changes, etc. The active

use of social networks and various digital platforms

by agrotourism destinations shows their

commitment to increasing interactivity with visitors.

This approach not only drives engagement but also

demonstrates the need for these destinations to adapt

to modern communication channels.

Basically, we propose to build algorithms and

scripts that we need for the systematic collection

and analysis of distributed information. This process

is necessary to discover the current state, trends, and

opportunities of digital and information

technologies in agrotourism, providing knowledge

and valuable information to interested parties. The

centralization and systematization of data enable

potential visitors to have faster access to the relevant

information they want such as websites, contact

numbers, ratings and comments of visitors, and

other information. This facilitates access to

information and decision-making for individuals

interested in agrotourism in Albania.

The study aims to contribute to the sustainable

growth of agrotourism in Albania using information

technologies. By using the power of digital

platforms and creating a unified database, we seek

to help agrotourism stakeholders.

We have implemented an application, but we

suggest adding the building and implementation of

algorithms and scripts for systematic data collection

and analysis. This will ensure that the database is

kept up-to-date and populated with new and

different information. It is necessary to achieve an

interaction and obtain useful information from

social networks to simplify and integrate the

distributed data. This can be achieved by securing

partnerships to obtain information from different

platforms thereby increasing the comprehensiveness

of the database. It is necessary to provide a regular

mechanism for periodic updating of the centralized

database to reflect changes or new additions to

agrotourism. This will make it possible to have

accuracy and validity of information for visitors and

other interested parties. An easy-to-use interface

should be built for users to navigate and find the

information they need. This may include the

introduction of search options and interactive maps

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to help users as much as possible. Promote the

database built and create access to the necessary

information for potential visitors, other interested

parties, and policy makers. This would have a

positive impact on decision-making processes and

the overall growth of agrotourism in Albania as a

result. This study could also serve other countries in

the region, since in the application we have built,

agrotourism and the name of the other country

where we want to collect the data can be requested.

Also, instant data scrappers can be used for the

websites of those countries.

In the following works, we think of using

geometric considerations, for the study,

clarification, and more interesting presentation of

the infrastructural connections that the agrotourism

points in Albania have among themselves but also

with the farms of the surrounding areas, for

geometric considerations, we will follow some of

our works earlier, [21], [22], there the applications

of geometry are diverse, and we think that even in

this research line they will give interesting results.

6 Discussions

In Albania, the number of agrotourism points is

increasing every year. Given that these enterprises

are developed in rural areas, the updating of the

enterprises with information technologies proceeds

with slower steps. We have noticed that studies on

information technologies and software systems used

for agrotourism in Albania are missing. Similar

studies have been done only in other countries of the

world. One of the first things that agrotourism

businesses do to be in contact with other

stakeholders is to put their positioning on the map.

These locations, even though they are sometimes

not absolute, become a source of additional

information that is set by the entrepreneur or by the

users. In this article, we do not guarantee the

absolute accuracy of the data that our application

collects and presents with the methods that we have

presented in this article, since the data presented in

social networks by the owners of AGT may not be

absolutely correct. correct. But during further

analysis, and evaluations (such as likes, comments,

etc.) from the attendees of these AGTs, we can

derive a level of security regarding the accuracy of

the information.

From the data obtained, we understand how

many of these points use their website, booking,

different social networks, etc. Having the

coordinates, we can find the shortest ways to access

them, which we are currently studying. By knowing

which social networking platforms, they use the

most, we know where to find most of these

destinations. Ratings and comments help in

customer choices.

Declaration of Generative AI and AI-assisted

Technologies in the Writing Process

During the preparation of this work the authors used

Grammarly for language editing. After using this

service, the authors reviewed and edited the content

as needed and take full responsibility for the content

of the publication.

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DOI: 10.37394/232015.2024.20.76

Gjovalin Deda, Orgest Zaka

E-ISSN: 2224-3496

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Contribution of Individual Authors to the

Creation of a Scientific Article (Ghostwriting

Policy)

- Gjovalin Deda: Methodology, Testing, Writing

- Orgest Zaka: Methodology, Writing, Review

Sources of Funding for Research Presented in a

Scientific Article or Scientific Article Itself

No funding was received for conducting this study.

Conflict of Interest

The authors have no conflicts of interest to declare.

Creative Commons Attribution License 4.0

(Attribution 4.0 International, CC BY 4.0)

This article is published under the terms of the

Creative Commons Attribution License 4.0

https://creativecommons.org/licenses/by/4.0/deed.en

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DOI: 10.37394/232015.2024.20.76

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Volume 20, 2024