Python 3.7 Issue with append function - python-3.x

Question

I'm learning Python and decided to adapte code from an example to scrape Craigslist data to look at prices of cars. https://towardsdatascience.com/web-scraping-craigslist-a-complete-tutorial-c41cea4f4981
I've created a Jupyter notebook and modified the code for my use. I recreated the same error when running the code in Spyder Python 3.7.
I'm running into an issue at line 116.
File "C:/Users/UserM/Documents/GitHub/learning/Spyder Python Craigslist Scrape Untitled0.py", line 116
post_prices.append(post_price). I receive a "SynaxError: invalid syntax".
Any help appreciated. Thanks.
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 2 12:26:06 2019
"""
#import get to call a get request on the site
from requests import get
#get the first page of the Chicago car prices
response = get('https://chicago.craigslist.org/search/cto?bundleDuplicates=1') #eliminate duplicates and show owner only sales
from bs4 import BeautifulSoup
html_soup = BeautifulSoup(response.text, 'html.parser')
#get the macro-container for the housing posts
posts = html_soup.find_all('li', class_= 'result-row')
print(type(posts)) #to double check that I got a ResultSet
print(len(posts)) #to double check I got 120 (elements/page
#grab the first post
post_one = posts[0]
#grab the price of the first post
post_one_price = post_one.a.text
post_one_price.strip()
#grab the time of the post in datetime format to save on cleaning efforts
post_one_time = post_one.find('time', class_= 'result-date')
post_one_datetime = post_one_time['datetime']
#title is a and that class, link is grabbing the href attribute of that variable
post_one_title = post_one.find('a', class_='result-title hdrlnk')
post_one_link = post_one_title['href']
#easy to grab the post title by taking the text element of the title variable
post_one_title_text = post_one_title.text
#the neighborhood is grabbed by finding the span class 'result-hood' and pulling the text element from that
post_one_hood = posts[0].find('span', class_='result-hood').text
#the price is grabbed by finding the span class 'result-price' and pulling the text element from that
post_one_hood = posts[0].find('span', class_='result-price').text
#build out the loop
from time import sleep
import re
from random import randint #avoid throttling by not sending too many requests one after the other
from warnings import warn
from time import time
from IPython.core.display import clear_output
import numpy as np
#find the total number of posts to find the limit of the pagination
results_num = html_soup.find('div', class_= 'search-legend')
results_total = int(results_num.find('span', class_='totalcount').text) #pulled the total count of posts as the upper bound of the pages array
#each page has 119 posts so each new page is defined as follows: s=120, s=240, s=360, and so on. So we need to step in size 120 in the np.arange function
pages = np.arange(0, results_total+1, 120)
iterations = 0
post_timing = []
post_hoods = []
post_title_texts = []
post_links = []
post_prices = []
for page in pages:
#get request
response = get("https://chicago.craigslist.org/search/cto?bundleDuplicates=1"
+ "s=" #the parameter for defining the page number
+ str(page) #the page number in the pages array from earlier
+ "&hasPic=1"
+ "&availabilityMode=0")
sleep(randint(1,5))
#throw warning for status codes that are not 200
if response.status_code != 200:
warn('Request: {}; Status code: {}'.format(requests, response.status_code))
#define the html text
page_html = BeautifulSoup(response.text, 'html.parser')
#define the posts
posts = html_soup.find_all('li', class_= 'result-row')
#extract data item-wise
for post in posts:
if post.find('span', class_ = 'result-hood') is not None:
#posting date
#grab the datetime element 0 for date and 1 for time
post_datetime = post.find('time', class_= 'result-date')['datetime']
post_timing.append(post_datetime)
#neighborhoods
post_hood = post.find('span', class_= 'result-hood').text
post_hoods.append(post_hood)
#title text
post_title = post.find('a', class_='result-title hdrlnk')
post_title_text = post_title.text
post_title_texts.append(post_title_text)
#post link
post_link = post_title['href']
post_links.append(post_link)
#removes the \n whitespace from each side, removes the currency symbol, and turns it into an int
#test removed: post_price = int(post.a.text.strip().replace("$", ""))
post_price = int(float((post.a.text.strip().replace("$", ""))) #does this work??
post_prices.append(post_price)
iterations += 1
print("Page " + str(iterations) + " scraped successfully!")
print("\n")
print("Scrape complete!")
import pandas as pd
eb_apts = pd.DataFrame({'posted': post_timing,
'neighborhood': post_hoods,
'post title': post_title_texts,
'URL': post_links,
'price': post_prices})
print(eb_apts.info())
eb_apts.head(10)

Answer 1

Welcome to StackOverflow. Usually when you see syntax errors in already working code, it means that you've either messed up indentation, forgot to terminate a string somewhere, or missed a closing bracket.
You can tell this when a line of what looks to be ok code is throwing you a syntax error. This is because the line before isn't ended properly and the interpreter is giving you hints around where to look.
In this case, you're short a paranthesis in the line before.
post_price = int(float((post.a.text.strip().replace("$", "")))
should be
post_price = int(float((post.a.text.strip().replace("$", ""))))
or delete the extra paranthesis after float
post_price = int(float(post.a.text.strip().replace("$", "")))