无法爬取某网站各项产品的url？

Question

相关代码如图所示（第一段代码选自scraper，已用于第二段代码）

# function to get project url
def extract_project_url(df_input):
    list_url = []
    for ele in df_input["clickthrough_url"]:
        list_url.append("https://www.indiegogo.com" + ele)
    return list_url

import sys
sys.path.append("C:/Users/1/Desktop/indiegogo-scrapper-main/src/main.py")
import os

# load data analysis library
import pandas as pd

# load modules in scraper
from scraper import *
import multiprocessing


def main():
    args = sys.argv[1:]

    if os.path.exists("chromedriver\\chromedriver.exe") is False:
        print("put chromedriver.exe into chromedriver directory.")
    else:
        if os.path.exists("data\\1.csv") is False:
            print("put 1.csv into data directory.")
        else:
            if len(args) < 1:
                print("define the json filename.")
            elif args[0].find(".json") != -1:
                dir_path_data = "data"
                dir_path_output = "out/" + args[0]

                filenames = next(os.walk(dir_path_data), (None, None, []))[2]

                list_project_site = []
                for ele in filenames:
                    df_indiegogo = pd.read_csv(dir_path_data + "\\" + ele, encoding="gbk", encoding_errors="ignore", sep='\t', on_bad_lines='skip')
                    list_project_site.extend(extract_project_url(df_indiegogo))

                list_project_site = [[i, e] for i, e in enumerate(list_project_site)]

                try:
                    f = open(dir_path_output, "r",)
                    data = json.loads(f.read())
                    f.close()
                except Exception as e:
                    data = {}

                list_processed = [e for e in list_project_site if e[1]
                                  not in [data[key]["site"] for key in data]]

                # process-based parallelism
                # use one third of the available processors
                processor = int(-1 * (multiprocessing.cpu_count() / 3) // 1 * -1)
                # use one fourth of the available processors
                # processor = int(multiprocessing.cpu_count()/4)
                pool = multiprocessing.Pool(processes=processor)

                print("*** start ***")

                for b in [list_processed[i:i + processor] for i in range(0, len(list_processed), processor)]:
                    dict_tmp = {}
                    list_bres = pool.map(scrapes, b)

                    for i in list_bres:
                        dict_tmp.update(i)

                    if len(data) < 1:
                        with open(dir_path_output, 'w') as file:
                            json.dump(dict_tmp, file, indent=4)
                    else:
                        with open(dir_path_output, "r+") as file:
                            old_data = json.load(file)
                            old_data.update(dict_tmp)
                            file.seek(0)
                            json.dump(old_data, file, indent=4)
                    print("scraped", str(b[-1][0] + 1), "of", str(len(list_project_site) - 1))
                    break
            else:
                print("wrong output file extension. use json extension.")
            print("*** end ***")


if __name__ == '__main__':
    main()

结果如下

听从网上建议修改后代码和结果

# function to get project url
def extract_project_url(df_input):
    list_url = []
    for ele in df_input[["clickthrough_url"]]:
        list_url.append("https://www.indiegogo.com" + ele)
    return list_url

求助各位大佬此修改是否正确，错误的原因是否跟设置cookie有关，以及后续应该如何编程。如果觉得麻烦，请给予相关连接让萌新自行学习，十分感谢！