add python image scrape script

.gitignore

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+# Environments
+venv/
+.venv/
+/pyvenv.cfg
+.python-version
+
+# Media
+media/
+downloaded_images
+downloaded_videos

README.md

@@ -1,4 +1,5 @@
 # git repo for art num
+
 *the wiki will be updated with more information and usefull snipet. fell free to contribute*
 
 test port ssh 

python/scrape/README.md

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+## A script that scrapes images from a given URL
+we need to use the requests and BeautifulSoup libraries to retrieve and parse the HTML content. `os` and `shutil` are helpful for managing files and saving the images. Scraping should be done ethically, following the website's robots.txt rules and terms of service.
+
+```
+pip install requests beautifulsoup4 tldextract
+
+```
+
+Run the script with:
+```
+python cyberfeminist_images.py
+```

python/scrape/get_images.py

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+import requests
+import time
+from bs4 import BeautifulSoup
+from urllib.parse import urlparse
+import os
+import sys
+import tldextract
+
+# URL of the webpage with images
+input_url = sys.argv[1] 
+
+# extract full domain
+def split_domain_or_subdomain_and_path(url):
+    # Parse the URL
+    parsed_url = urlparse(url)
+    extracted = tldextract.extract(url)
+    
+    # Build the full domain, including subdomain if present
+    if extracted.subdomain:
+        full_domain = f"{extracted.subdomain}.{extracted.domain}.{extracted.suffix}"
+    else:
+        full_domain = f"{extracted.domain}.{extracted.suffix}"
+    
+    return "https://" + full_domain
+
+full_domain = split_domain_or_subdomain_and_path(input_url)
+print(f"Domain/Subdomain: {full_domain}")
+
+# Folder to save images
+save_folder = "downloaded_images"
+if not os.path.exists(save_folder):
+    os.makedirs(save_folder)
+
+# Send GET request to the page
+response = requests.get(input_url)
+if response.status_code == 200:
+    # Parse the HTML content with BeautifulSoup
+    soup = BeautifulSoup(response.text, 'html.parser')
+
+    # Find all image tags
+    images = soup.find_all('img')
+
+    # Loop through image tags
+    for idx, img in enumerate(images):
+        img_url = img.get('src')
+        
+        # Check if img_url is complete; if not, adjust it accordingly
+        if not img_url.startswith("http"):
+            img_url = full_domain + "/" + img_url
+
+        try:
+            # Send request to the image URL
+            img_data = requests.get(img_url).content
+            # Define file name and path
+            img_name = os.path.join(save_folder, f"image_{idx}.jpg")
+            # Write image data to file
+            with open(img_name, 'wb') as handler:
+                handler.write(img_data)
+
+            print(f"Downloaded {img_name}")
+            time.sleep(1)
+        
+        except Exception as e:
+            print(f"Failed to download {img_url}. Error: {e}")
+else:
+    print("Failed to retrieve the page.")

references/python_arti_ref_mara.md

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-# artistic ref : usage de python
-
-## [Computational Poems : Les deux, Nick Montfort](https://nickm.com/2/les_deux.html) 
-
-  - US digital artist / chercheur
-  - générateur de poème online dynamique (javascript)
-  - poème multilangue (fr, esp, cn) => dispositif de traduction (js)
-    
-## [The Great Netfix, *Ritasdatter & Gansing*](http://netflix.lnd4.net/)
-*a video store after the end of the world*
-
-- notion de de-clouding : proposition speculative de redistribution de la “cloub-base” contemporaine
-- activité de **scraping** de film Netflix via VPN (utilitaire de deplacement immatérielle de la localisation du client) & enregistrement **VHS**
-- dispositif rspi (WLAN) - tape recorder VHS
-
-## [Videogrep, *Sam Lavigne* (2014)](https://antiboredom.github.io/videogrep/)
-
-- python script that searches through dialog on videos and combine then in a flesh video
-- e.g : condense toute les itération d’une expression d’une video originale
-
-- visibilisation de normalisation d’usage de stratégie marketing (element de langage) dans contexte politique -partisant-
-  
-- commande ligne tool / python module en libre acces sur archive github du project
-  ```videogrep -- input path/to/vid.mp4 --search 'search phrase'```
-
-## [Unerasable Characters, *Winnie Soon*](https://calls.ars.electronica.art/2023/prix/winners/7149/)
-Prix Ars Electronica, 2023
-
-- scraping data censurées/suprimées from Weibo (chinese social media == twitter)
-- dispersion des ideogram dans matrice lumineuse physique
-- concatenation de l’ensemble des caractère par machine learning (Tensor Flow) pour republication sur source (Weibo) et production d’une édition physique