fixed could not turn str to float error

README.md

@@ -24,17 +24,22 @@ This repo contains scripts for the following sites:
 - GOAT
 - eBay
 - Depop
-- BUMP
 
 ## How to use
 
 These scripts can be run via the command line.
 The general structure is as follows
 
+#### Windows
 ```
 python [script name] [argument 1] [argument 2]
 ```
 
+#### Linux/Mac
+```
+python3 [script name] [argument 1] [argument 2]
+```
+
 With most of the tools, you will only need to pass 1 argument, with the exception of `eBayBot.py` which takes 2.
 An example of how to pass arguments is shown below:
 ```
@@ -47,3 +52,4 @@ An example is shown below:
 ```
 python eBayBot.py current 'yeezy 350 creams'
 ```
+including the single quotations around the item is important to the accuracy of your results.

src/DepopBot.py

@@ -8,11 +8,13 @@
 def scrape_site(item):
     current_listings = []
     try:
-        url = f'https://webapi.depop.com/api/v1/search/?what={item.replace(" ", "%20")}&country=gb&limit=200'
+        #change country_code to your countries two letter code (eg. gb for great britain)
+        country_code = 'gb'
+        url = f'https://webapi.depop.com/api/v2/search/products/?what={item.replace(" ", "+")}&itemsPerPage=40&country={country_code}&sort=relevance'
         html = rq.get(url=url)
         output = json.loads(html.text)
         for i in output['products']:
-            price = i['price']['price_amount']
+            price = i['price']['priceAmount']
             current_listings.append(float(price))
         return current_listings
     except Exception as e:
@@ -28,11 +30,14 @@ def clean_data(data):
 
 
 def summary_of_prices(data):
-    print('Max: ', max(data))
-    print('Min: ', min(data))
-    print('Average: ', sum(data) / len(data))
-    print('Standard Deviation: ', statistics.stdev(data))
-    print('Number of listings: ', len(data))
+    try:
+        print('Max: ', max(data))
+        print('Min: ', min(data))
+        print('Average: ', (sum(data) / len(data)).__round__(2))
+        print('Standard Deviation: ', statistics.stdev(data).__round__(2))
+        print('Number of listings: ', len(data))
+    except ValueError:
+        print('Not enough listings to calculate statistics')
 
 
 if __name__ == '__main__':

src/eBayBot.py

@@ -15,7 +15,8 @@ def get_current_prices(item):
             try:
                 current_listings.append(float(price.replace('£', '')))
             except:
-                price = price.replace(' to', '').replace('£', '')
+                #replaces dollar sign and pound sign
+                price = price.replace(' to', '').replace('£', '').replace(',', '').replace('$', '')
                 price = price.split()
                 prices = [float(item) for item in price]
                 current_listings.append(statistics.mean(prices))
@@ -29,7 +30,9 @@ def get_sold_prices(item):
     sold_listings = []
 
     try:
-        url = f'https://www.ebay.co.uk/sch/i.html?_nkw={item.replace(" ", "+")}&_ipg=200&rt=nc&LH_Sold=1'
+        #to use USA ebay replace .co.uk with .com
+        base_url = 'https://www.ebay.co.uk'
+        url = f'{base_url}/sch/i.html?_nkw={item.replace(" ", "+")}&_ipg=200&rt=nc&LH_Sold=1'
         html = rq.get(url=url)
         soup = BeautifulSoup(html.text, 'html.parser')
 
@@ -38,7 +41,7 @@ def get_sold_prices(item):
             try:
                 sold_listings.append(float(price.replace('£', '')))
             except:
-                price = price.replace(' to', '').replace('£', '')
+                price = price.replace(' to', '').replace('£', '').replace(',', '').replace('$', '')
                 price = price.split()
                 sold_listings.append(statistics.mean([float(item) for item in price]))
         return sold_listings
@@ -50,8 +53,8 @@ def get_sold_prices(item):
 def summary_of_prices(data):
     print('Max: ', max(data))
     print('Min: ', min(data))
-    print('Average: ', sum(data) / len(data))
-    print('Standard Deviation: ', statistics.stdev(data))
+    print('Average: ', (sum(data) / len(data)).__round__(2))
+    print('Standard Deviation: ', statistics.stdev(data).__round__(2))
     print('Number of listings: ', len(data))
 
 
@@ -67,4 +70,4 @@ def summary_of_prices(data):
     if output != 'Exception' and output != []:
         summary_of_prices(output)
     else:
-        print('Please check second argument variable')
+        print('Please check second argument variable')