├── LICENSE
├── README.md
├── copyright.md
├── data
├── ars_electronica_prizewinners.json
└── ars_electronica_prizewinners_ru.json
├── main.py
├── requirements.txt
└── scripts
└── parser.py
/LICENSE:
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623 | How to Apply These Terms to Your New Programs
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674 | .
675 |
--------------------------------------------------------------------------------
/README.md:
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1 | # Ars Electronica Archive parser
2 |
3 | Parses data from [Ars Electronica Archive](https://archive.aec.at/prix/) to a json file.
4 |
5 | The data contains info about artwork's name, authors, award, year of nomination, category, description, a list of links to artwork's photos, and also a link to the artwork itself.
6 |
7 | Just run `main.py` to use the parser.
8 | You can filter the required artworks by years, awards and nominations.
9 |
10 | Full Ars Electronica Archive is available in the **data** folder.
11 |
12 | If you face `ConnectionReset` problem, try to run the parser in Google Colab.
13 |
14 | If you have any questions, feel free to write me in Telegram:
15 | [@AGet_man_off](https://t.me/AGet_man_off).
16 |
17 | I will be happy, if you star⭐ my repo.
18 |
19 | *License: GNU General Public License v3.0*
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/copyright.md:
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1 | Ars Electronica Archive parser
2 |
3 | Copyright (C) 2023 Andrey Getmanov
4 |
5 | This program is free software: you can redistribute it and/or modify
6 | it under the terms of the GNU General Public License as published by
7 | the Free Software Foundation, either version 3 of the License, or
8 | (at your option) any later version.
9 |
10 | This program is distributed in the hope that it will be useful,
11 | but WITHOUT ANY WARRANTY; without even the implied warranty of
12 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
13 | GNU General Public License for more details.
14 |
15 | You should have received a copy of the GNU General Public License
16 | along with this program. If not, see .
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/main.py:
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1 | from scripts.parser import Parser
2 |
3 | """
4 | To parse the full archive (all years, categories and awards) just run parse_data() with default parameters.
5 |
6 | Years can be given as list:
7 | years=[1987, 1995, 2000, 2010]
8 | or as range:
9 | years=range(1987, 1995)
10 |
11 | Award and category can be given as str:
12 | award='Golden Nica'
13 | or as list (if multiple):
14 | category=['Interactive Art', 'Artificial Intelligence & Life Art']
15 |
16 | Saving path can be given as str:
17 | path_to_save='data/IA_AI_prizewinners.json'
18 |
19 | Awards:
20 | All
21 | Submissions with Award
22 | Golden Nica
23 | Award of Distinction
24 | Honorary Mention
25 | Grant
26 | Special Prize
27 | Nomination
28 |
29 | Categories:
30 | All
31 | Computer Graphics
32 | Computer Animation
33 | Interactive Art
34 | Music & Sound
35 | Hybrid Art
36 | Netbased Art
37 | Digital Communities
38 | the next idea
39 | Media Art.Research Award
40 | u19
41 | Visionary Pioneers
42 | Klasse! Lernen
43 | Artificial Intelligence & Life Art
44 | Digital Humanity
45 |
46 | Enjoy!
47 | """
48 | if __name__ == '__main__':
49 | parser = Parser()
50 | parser.parse_data()
51 |
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/requirements.txt:
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https://raw.githubusercontent.com/andreygetmanov/ars_electronica_parser/4c5492b02fc2e2b783f33be3a17bc82097ca967c/requirements.txt
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/scripts/parser.py:
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1 | import json
2 |
3 | import requests
4 | from typing import Union
5 | from bs4 import BeautifulSoup
6 | from tqdm import tqdm
7 |
8 | CATEGORIES = {
9 | 'All': -1,
10 | 'Computer Graphics': 'CG',
11 | 'Computer Animation': 'CA',
12 | 'Interactive Art': 'IA',
13 | 'Music & Sound': 'DM',
14 | 'Hybrid Art': 'HA',
15 | 'Netbased Art': 'N',
16 | 'Digital Communities': 'DC',
17 | 'the next idea': 'NI',
18 | 'Media Art.Research Award': 'LBI',
19 | 'u19': 'U19',
20 | 'Visionary Pioneers': 'VP',
21 | 'Klasse! Lernen': 'KL',
22 | 'Artificial Intelligence & Life Art': 'AI',
23 | 'Digital Humanity': 'DH'
24 | }
25 |
26 | AWARDS = {
27 | 'All': -1,
28 | 'Submissions with Award': -2,
29 | 'Golden Nica': 1,
30 | 'Award of Distinction': 2, # Auszeichnung
31 | 'Honorary Mention': 3, # Anerkennung
32 | 'Grant': 5, # Stipendium
33 | 'Special Prize': 4, # Sonderpreise
34 | 'Nomination': 20 # Nominierung
35 | }
36 |
37 |
38 | class Parser:
39 | """
40 | A class that parses data from the ArsElectronica Archive.
41 |
42 | Attributes
43 | ----------
44 | headers : dict
45 | A dictionary containing the headers for the HTTP request.
46 | data : dict
47 | A dictionary containing the data for the HTTP request.
48 | params : dict
49 | A dictionary containing the parameters for the HTTP request.
50 | """
51 |
52 | def __init__(self):
53 | self.headers = {'Accept-Language': 'en-US'}
54 | self.data = {'languageform_select': 'en'}
55 | self.params = {'lang': 'en'}
56 |
57 | def parse_data(self,
58 | award: Union[list, str] = 'All',
59 | category: Union[list, str] = 'All',
60 | years: Union[list, range] = range(1987, 2023),
61 | path_to_save: str = 'data/ars_electronica_prizewinners.json'):
62 | """
63 | Retrieves the data of artworks in Interactive Art category for the given years and saves it to json.
64 |
65 | Parameters
66 | ----------
67 | award : Union[list, str]
68 | The name/list of names of award for which the data should be retrieved (-1 for all).
69 | category: Union[list, str]
70 | The name/list of names of category for which the data should be retrieved (-1 for all).
71 | years : Union[list, range]
72 | The list/range of years for which the data should be retrieved.
73 | path_to_save : str
74 | The path where the json with data will be saved
75 | """
76 | print(f'Collecting works of {category} category with {award} award from {years[0]} to {years[-1]}')
77 | artwork_ids = self.get_ids(category, award, years)
78 | print(f'Collected {len(artwork_ids)} artworks')
79 | artworks = {}
80 | print('Data parsing has started')
81 | for artwork_id in tqdm(artwork_ids):
82 | url = f'https://archive.aec.at/prix/showmode/{artwork_id}/'
83 | data = self.get_data(url)
84 | artworks[artwork_id] = data
85 | print('Parsing finished. Saving the data to json...')
86 | self._save(artworks, path_to_save)
87 | print(f'Completed! Saved to {path_to_save}')
88 |
89 | def get_ids(self, category: Union[list, str], award: Union[list, str], years: Union[list, range]):
90 | """
91 | Retrieves the ids of artworks in Interactive Art category for the given years.
92 |
93 | Parameters
94 | ----------
95 | award : Union[list, str]
96 | The name/list of names of award for which the data should be retrieved (-1 for all).
97 | category: Union[list, str]
98 | The name/list of names of category for which the data should be retrieved (-1 for all).
99 | years : Union[list, range]
100 | The list/range of years for which the data should be retrieved.
101 |
102 | Returns
103 | -------
104 | id_list : list
105 | A list containing ids of artworks for the given years:
106 | """
107 | if isinstance(category, str):
108 | category = [category]
109 | if isinstance(award, str):
110 | award = [award]
111 | id_list = []
112 | for cat in category:
113 | for aw in award:
114 | for year in years:
115 | cat_id = CATEGORIES[cat]
116 | aw_id = AWARDS[aw]
117 | url = f'https://archive.aec.at/winners/?category={cat_id}&award={aw_id}&searchstring=&years=&artist_letters=&year={year}'
118 | ids_data = {'languageform_select': 'en',
119 | 'button_winners': True}
120 | ids_params = {'setlang': 'en'}
121 | content = self._get_raw_html(url, self.headers, ids_data, ids_params)
122 | elements = content.find_all('div', {'class': 'winner_title'})
123 | ids = [el['id'].replace('winner_title_', '') for el in elements if self._contains_id(el['id'])]
124 | id_list += ids
125 | return id_list
126 |
127 | def get_data(self, url: str):
128 | """
129 | Retrieves the artwork data from the given URL, parses it and returns as a dict.
130 |
131 | Parameters
132 | ----------
133 | url : str
134 | The URL of the page to be parsed.
135 |
136 | Returns
137 | -------
138 | artwork_data : dict
139 | A dictionary containing the parsed artwork data with the following keys:
140 | - `name` : str
141 | The name of the artwork.
142 | - `authors` : str
143 | The authors of the artwork.
144 | - `award` : str
145 | The award received by the artwork.
146 | - `year` : str
147 | The year the award was received.
148 | - `category` : str
149 | The category of the artwork.
150 | - `description` : str
151 | The description of the artwork.
152 | - 'img_list' : list
153 | The list containing the URLs to the artwork images.
154 | - 'url' : str
155 | The URL to the artwork.
156 | """
157 | content = self._get_raw_html(url, self.headers, self.data, self.params)
158 | name = content.find_all("div", class_="row")[2].text.strip()
159 | authors = self._clean(
160 | content.find_all("div", class_="row")[3].find("div", class_='col-md-12').find("div").get_text())
161 | award_and_year = content.find('h3', class_='bar-color').find('img').find('span').get_text()
162 | award = ' '.join(award_and_year.split()[:-1])
163 | year = award_and_year.split()[-1]
164 | category = content.find('h3', {'class': 'bar-color'}).get_text().replace(award_and_year, '').strip()
165 | try:
166 | description = content.find_all("div", class_="tab-pane fade", id="tab-1")[0].get_text().strip().replace(
167 | '\xa0\xa0', '\n').replace('\xa0', '')
168 | except IndexError:
169 | print(f'Artwork {name} ({year}) has no description')
170 | description = ''
171 | root_link = 'https://archive.aec.at'
172 | try:
173 | img_list = [root_link + img['src'] for img in content.find_all('img', class_='media')]
174 | except IndexError:
175 | print(f'Artwork {name} ({year}) has no images')
176 | img_list = []
177 |
178 | artwork_data = {
179 | 'name': name,
180 | 'authors': authors,
181 | 'award': award,
182 | 'year': year,
183 | 'category': category,
184 | 'description': description,
185 | 'img_list': img_list,
186 | 'url': url
187 | }
188 | return artwork_data
189 |
190 | @staticmethod
191 | def _get_raw_html(url: str, headers: dict = None, data: dict = None, params: dict = None):
192 | # Gets the raw html content of the given URL.
193 | response = requests.get(url, headers=headers, data=data, params=params)
194 | html_content = response.text
195 | return BeautifulSoup(html_content, 'html.parser')
196 |
197 | @staticmethod
198 | def _clean(text: str) -> str:
199 | text = text.replace("\n", "")
200 | text = text.replace("\t", "")
201 | return ', '.join([name.strip() for name in text.split(',')])
202 |
203 | @staticmethod
204 | def _contains_id(winner_title: str):
205 | # Checks if the title refers to a real artwork
206 | if len('winner_title_') == len(winner_title):
207 | return False
208 | return True
209 |
210 | @staticmethod
211 | def _save(artworks: dict, path_to_save: str):
212 | if '.json' not in path_to_save:
213 | path_to_save += '.json'
214 | with open(path_to_save, "w") as outfile:
215 | json.dump(artworks, outfile, indent=4)
216 |
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