爬取失信人员（只需输入姓名就能获取）

来源

代码：

import requests
import json
import pandas as pd
def listname(iname):
    name = []
    cardNum = []
    areaName = []
    for i in range(0, 100):
        url = 'https://sp0.baidu.com/8aQDcjqpAAV3otqbppnN2DJv/api.php'
        para = {
            'pn': str(i * 10),
            'resource_id': '6899',
            'query': '失信被执行人名单',
            'iname': iname,
            'rn': '10',
            'ie': 'utf-8',
            'oe': 'utf-8',
            'format': 'json',
            'cb': 'cb=jQuery110204669623007201096_1546820149157'
        }
        head = {
            "Host": "sp0.baidu.com",
            "Accept": "*/*",
            "Connection": "keep-alive",
            "Accept-Encoding": "gzip, deflate, br",
            'Accept-Language': 'zh-CN,zh;q=0.8',
            'Referer': 'https://www.baidu.com/s?wd=%E5%A4%B1%E4%BF%A1%E4%BA%BA',
            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.75 Safari/537.36'
        }
        rep = requests.get(url, headers=head, params=para)
        rep_str = rep.content.decode()
        rep_json = json.loads(rep_str[7:-2])
        rep_data = rep_json['data']
        for each in rep_data:
            for data in each['result']:
                name.append(data['iname'])
                cardNum.append(data['cardNum'])
                areaName.append(data['areaName'])
    result_all = pd.DataFrame({'Name': iname, 'IDcard': cardNum, 'Area': areaName})
    result_signal = result_all.drop_duplicates()
    result = result_signal.reset_index(drop=True)
    return result
print(listname('XXX'))