我怎样才能让 TikTok scraper 抓取并添加到 CSV

Question

我正在构建这个抓取工具，我正在尝试抓取 TikTok hastags，然后从该 hashtag 中获取用户名，然后删除我之前抓取的每个用户名。完成后希望将信息组织在 csv 文件中。这是我想出的，但它没有像我预期的那样工作。我是初学者，我正在尝试学习一门新语言。我错过了什么和做错了什么？

import requests
import json
import pandas as pd

# scrape hastag
url = "https://api.tikapi.io/public/hashtag?count=30&id=9261"

payload={}
headers = {
  'X-API-KEY': 'xxxxxx'
}

response = requests.request("GET", url, headers=headers, data=payload)
hashtag_response = response.text
hashtag_json = json.loads (hashtag_response)

# write data to hashtag json file
results_json = open("data.json", "w")
L = [response.text]
results_json.writelines(L)
results_json.close()

# list
influencer = []

followerCount = []
bioLink = []
signature = []


for uniqueId in hashtag_json ['uniqueId']:
   influencer.append(uniqueId)


# scrape influencer username
url = "https://api.tikapi.io/public/check?username={influencer}"

payload={}
headers = {
  'X-API-KEY': 'xxxxx'
}

influencerresponse = requests.request("GET", url, headers=headers, data=payload)
infl_response = influencerresponse.text
influencer_json = json.loads (infl_response)

# write data to influencer json file
results_json = open("infl_data.json", "w")
I = [influencerresponse.text]
results_json.writelines(I)
results_json.close()

for followerCount, bioLink in influencer_json ['followerCount','bioLink','signature']:
    followerCount.append(followerCount)
    bioLink.append(bioLink)
    signature.append(signature)

#  create csv file of results 

influencer_df = pd.DataFrame({  
    'Influencer' : influencer,
    'Follower Count' : followerCount,
    'Link' : bioLink,
    'Signature' : signature,   

    })

influencer_df.to_csv('/Users/john/Repos/TikTok/influencer.csv', index=False)

Answer 1

这部分你错了

for uniqueId in hashtag_json ['uniqueId']:
   influencer.append(uniqueId)

应该是

influencer.append(hashtag_json["itemList"][0]['author']['uniqueId'])

这部分

for followerCount, bioLink in influencer_json ['followerCount','bioLink','signature']:

应该是

followerCount.append(influencer_json['userInfo']['stats']['followerCount'])
bioLink.append(influencer_json['userInfo']['user']['bioLink']['link'])
signature.append(influencer_json['userInfo']['user']['signature'])

.

import requests
import json
import pandas as pd

# scrape hastag
url = "https://api.tikapi.io/public/hashtag?count=30&id=9261"

payload={}
headers = {
  'X-API-KEY': 'xxxx'
}

response = requests.request("GET", url, headers=headers, data=payload)
hashtag_response = response.text
hashtag_json = json.loads(hashtag_response)

# write data to hashtag json file
results_json = open("data.json", "w")
L = [response.text]
results_json.writelines(L)
results_json.close()

# list
influencer = []
followerCount = []
bioLink = []
signature = []



influencer.append(hashtag_json["itemList"][0]['author']['uniqueId'])


# scrape influencer username
url = "https://api.tikapi.io/public/check?username={}".format(influencer[0])

payload={}
headers = {
  'X-API-KEY': 'xxxx'
}

influencerresponse = requests.request("GET", url, headers=headers, data=payload)
infl_response = influencerresponse.text
influencer_json = json.loads(infl_response)

# write data to influencer json file
results_json = open("infl_data.json", "w")
I = [influencerresponse.text]
results_json.writelines(I)
results_json.close()

followerCount.append(influencer_json['userInfo']['stats']['followerCount'])
bioLink.append(influencer_json['userInfo']['user']['bioLink']['link'])
signature.append(influencer_json['userInfo']['user']['signature'])

#  create csv file of results 
influencer_df = pd.DataFrame({  
    'Influencer' : influencer,
    'Follower Count' : followerCount,
    'Link' : bioLink,
    'Signature' : signature,  
    })

influencer_df.to_csv('/Users/john/Repos/TikTok/influencer.csv', index=False)

我怎样才能让 TikTok scraper 抓取并添加到 CSV

How can I make TikTok scraper scrape and add to CSV

python

json

tiktok