1 files changed, 0 insertions, 44 deletions
diff --git a/binance-scraping-bot.py b/binance-scraping-bot.py
deleted file mode 100644
index 79fae56..0000000
--- a/binance-scraping-bot.py
+++ /dev/null
@@ -1,44 +0,0 @@
-import os, requests
-import pandas as pd
-from bs4 import BeautifulSoup
-from requests import get
-from discord_webhook import DiscordWebhook
-
-# Webhook settings
-url_wb = os.environ.get('DISCORD_WH')
-
-# Data for the scrap
-url = "https://www.binance.com/en/support/announcement"
-response = get(url)
-soup = BeautifulSoup(response.text, 'html.parser')
-news_list = soup.find_all(class_ = 'css-sbrje5')
-
-# Create a bag of key words for getting matches
-key_words = ['list', 'token sale', 'open trading', 'opens trading', 'perpetual', 'defi', 'uniswap', 'airdrop']
-
-# Open old database file
-path = "/home/pi/OpenAlpha/db.xlsx"
-df = pd.read_excel(path)
-
-# Empty list
-updated_list = []
-
-for news in news_list:
-	article_text = news.text
-
-	# Check for matchings
-	for item in key_words:
-		if (item in article_text.lower()) and (article_text not in df.values):
-			article_link = 'https://www.binance.com' + news.get('href')
-			msg = article_text + '\n' + article_link
-			updated_list.append([article_text, article_link])
-			print(article_text)
-
-			# Send message to Discord server
-			webhook = DiscordWebhook(url=url_wb, content=msg)
-			response = webhook.execute()
-
-# Export updated news to Excel
-cols = ['Text', 'Link']
-df = df.append(pd.DataFrame(updated_list, columns=cols), ignore_index = True)
-df.to_excel(path, index = False)