【问题标题】:Python data scraping and format output into json dataPython数据抓取并格式化输出为json数据
【发布时间】:2018-05-13 09:35:06
【问题描述】:

我设法从一个动态网站上抓取了一些数据,我的输出是 json 格式,只有值,如何修改此代码以获取 key 和 value json 格式并使用 python 写入文件

import requests
import json

URL='http://tfda.go.tz/portal/en/trader_module/trader_module/getRegisteredDrugs_products'
payload = "draw=1&columns%5B0%5D%5Bdata%5D=no&columns%5B0%5D%5Bname%5D=&columns%5B0%5D%5Bsearchable%5D=True&columns%5B0%5D%5Borderable%5D=True&columns%5B0%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B0%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B1%5D%5Bdata%5D=certificate_no&columns%5B1%5D%5Bname%5D=&columns%5B1%5D%5Bsearchable%5D=True&columns%5B1%5D%5Borderable%5D=True&columns%5B1%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B1%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B2%5D%5Bdata%5D=brand_name&columns%5B2%5D%5Bname%5D=&columns%5B2%5D%5Bsearchable%5D=True&columns%5B2%5D%5Borderable%5D=True&columns%5B2%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B2%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B3%5D%5Bdata%5D=classification_name&columns%5B3%5D%5Bname%5D=&columns%5B3%5D%5Bsearchable%5D=True&columns%5B3%5D%5Borderable%5D=True&columns%5B3%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B3%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B4%5D%5Bdata%5D=common_name&columns%5B4%5D%5Bname%5D=&columns%5B4%5D%5Bsearchable%5D=True&columns%5B4%5D%5Borderable%5D=True&columns%5B4%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B4%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B5%5D%5Bdata%5D=dosage_form&columns%5B5%5D%5Bname%5D=&columns%5B5%5D%5Bsearchable%5D=True&columns%5B5%5D%5Borderable%5D=True&columns%5B5%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B5%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B6%5D%5Bdata%5D=product_strength&columns%5B6%5D%5Bname%5D=&columns%5B6%5D%5Bsearchable%5D=True&columns%5B6%5D%5Borderable%5D=True&columns%5B6%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B6%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B7%5D%5Bdata%5D=registrant&columns%5B7%5D%5Bname%5D=&columns%5B7%5D%5Bsearchable%5D=True&columns%5B7%5D%5Borderable%5D=True&columns%5B7%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B7%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B8%5D%5Bdata%5D=registrant_country&columns%5B8%5D%5Bname%5D=&columns%5B8%5D%5Bsearchable%5D=True&columns%5B8%5D%5Borderable%5D=True&columns%5B8%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B8%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B9%5D%5Bdata%5D=manufacturer&columns%5B9%5D%5Bname%5D=&columns%5B9%5D%5Bsearchable%5D=True&columns%5B9%5D%5Borderable%5D=True&columns%5B9%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B9%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B10%5D%5Bdata%5D=manufacturer_country&columns%5B10%5D%5Bname%5D=&columns%5B10%5D%5Bsearchable%5D=True&columns%5B10%5D%5Borderable%5D=True&columns%5B10%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B10%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B11%5D%5Bdata%5D=expiry_date&columns%5B11%5D%5Bname%5D=&columns%5B11%5D%5Bsearchable%5D=True&columns%5B11%5D%5Borderable%5D=True&columns%5B11%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B11%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B12%5D%5Bdata%5D=id&columns%5B12%5D%5Bname%5D=&columns%5B12%5D%5Bsearchable%5D=True&columns%5B12%5D%5Borderable%5D=True&columns%5B12%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B12%5D%5Bsearch%5D%5Bregex%5D=False&order%5B0%5D%5Bcolumn%5D=0&order%5B0%5D%5Bdir%5D=asc&start=0&length=3911&search%5Bvalue%5D=&search%5Bregex%5D=False"

with requests.Session() as s:
s.headers={"User-Agent":"Mozilla/5.0"}
s.headers.update({'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8'})
res = s.post(URL, data = payload)

for data in res.json()['data']:
    serial = data['no']
    certno = data['certificate_no']
    brndname = data['brand_name']
    clssification = data['classification_name']
    common_name = data['common_name']
    dosage_form = data['dosage_form']
    expiry_date = data['expiry_date']
    manufacturer = data['manufacturer']
    manufacturer_country = data['manufacturer_country']
    product_strength = data['product_strength']
    registrant = data['registrant']
    registrant_country = data['registrant_country']
    output = (dataserial,certno,brndname,clssification,
    common_name,dosage_form,expiry_date,m anufacturer, manufacturer_country,
    product_strength,registrant,registrant_country)

   data = {'brandname':brndname, 'cerficate_number':certno,'expiry_date':expiry_date,'product_strength':product_strength}
    output = json.dumps(data, ensure_ascii=True, sort_keys=True)


    with open('drugs.json', 'w') as file:
        json.dump(output, file)
        file.write('file')
        file.close()

这是我设法得到 screenshot 的输出,但我需要的示例是这种格式

{
 "brand_name":"Supirocin"
 "certificate_no":"TAN 00,1820 D01A GLE"
 "classification_name":"Human Medicinal Products"
 "common_name":"Mupirocin"
 "dosage_form":"Ointment"
 "expiry_date":"22-06-2018"
 "id":"18345"
 "manufacturer":"Glenmark Pharmaceuticals Limited"
 "manufacturer_country":"INDIA"
 "no":"6"
 "product_strength":"2 %w/w"
 "registrant":"Glenmark Pharmaceuticals Limited"
 "registrant_country":"INDIA"
 }

【问题讨论】:

    标签: python json python-3.x web-scraping python-requests


    【解决方案1】:

    试试这个以获得您在帖子中提到的确切输出:

    import requests
    import json
    
    URL='http://tfda.go.tz/portal/en/trader_module/trader_module/getRegisteredDrugs_products'
    payload = "draw=1&columns%5B0%5D%5Bdata%5D=no&columns%5B0%5D%5Bname%5D=&columns%5B0%5D%5Bsearchable%5D=True&columns%5B0%5D%5Borderable%5D=True&columns%5B0%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B0%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B1%5D%5Bdata%5D=certificate_no&columns%5B1%5D%5Bname%5D=&columns%5B1%5D%5Bsearchable%5D=True&columns%5B1%5D%5Borderable%5D=True&columns%5B1%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B1%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B2%5D%5Bdata%5D=brand_name&columns%5B2%5D%5Bname%5D=&columns%5B2%5D%5Bsearchable%5D=True&columns%5B2%5D%5Borderable%5D=True&columns%5B2%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B2%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B3%5D%5Bdata%5D=classification_name&columns%5B3%5D%5Bname%5D=&columns%5B3%5D%5Bsearchable%5D=True&columns%5B3%5D%5Borderable%5D=True&columns%5B3%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B3%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B4%5D%5Bdata%5D=common_name&columns%5B4%5D%5Bname%5D=&columns%5B4%5D%5Bsearchable%5D=True&columns%5B4%5D%5Borderable%5D=True&columns%5B4%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B4%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B5%5D%5Bdata%5D=dosage_form&columns%5B5%5D%5Bname%5D=&columns%5B5%5D%5Bsearchable%5D=True&columns%5B5%5D%5Borderable%5D=True&columns%5B5%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B5%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B6%5D%5Bdata%5D=product_strength&columns%5B6%5D%5Bname%5D=&columns%5B6%5D%5Bsearchable%5D=True&columns%5B6%5D%5Borderable%5D=True&columns%5B6%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B6%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B7%5D%5Bdata%5D=registrant&columns%5B7%5D%5Bname%5D=&columns%5B7%5D%5Bsearchable%5D=True&columns%5B7%5D%5Borderable%5D=True&columns%5B7%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B7%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B8%5D%5Bdata%5D=registrant_country&columns%5B8%5D%5Bname%5D=&columns%5B8%5D%5Bsearchable%5D=True&columns%5B8%5D%5Borderable%5D=True&columns%5B8%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B8%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B9%5D%5Bdata%5D=manufacturer&columns%5B9%5D%5Bname%5D=&columns%5B9%5D%5Bsearchable%5D=True&columns%5B9%5D%5Borderable%5D=True&columns%5B9%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B9%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B10%5D%5Bdata%5D=manufacturer_country&columns%5B10%5D%5Bname%5D=&columns%5B10%5D%5Bsearchable%5D=True&columns%5B10%5D%5Borderable%5D=True&columns%5B10%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B10%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B11%5D%5Bdata%5D=expiry_date&columns%5B11%5D%5Bname%5D=&columns%5B11%5D%5Bsearchable%5D=True&columns%5B11%5D%5Borderable%5D=True&columns%5B11%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B11%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B12%5D%5Bdata%5D=id&columns%5B12%5D%5Bname%5D=&columns%5B12%5D%5Bsearchable%5D=True&columns%5B12%5D%5Borderable%5D=True&columns%5B12%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B12%5D%5Bsearch%5D%5Bregex%5D=False&order%5B0%5D%5Bcolumn%5D=0&order%5B0%5D%5Bdir%5D=asc&start=0&length=3911&search%5Bvalue%5D=&search%5Bregex%5D=False"
    
    with requests.Session() as s:
        s.headers={"User-Agent":"Mozilla/5.0"}
        s.headers.update({'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8'})
        res = s.post(URL, data = payload)
        itemlist = []
        for data in res.json()['data']:
            item = {}
            item['serial'] = data['no']
            item['certno'] = data['certificate_no']
            item['brndname'] = data['brand_name']
            item['clssification'] = data['classification_name']
            item['common_name'] = data['common_name']
            item['dosage_form'] = data['dosage_form']
            item['expiry_date'] = data['expiry_date']
            item['manufacturer'] = data['manufacturer']
            item['manufacturer_country'] = data['manufacturer_country']
            item['product_strength'] = data['product_strength']
            item['registrant'] = data['registrant']
            item['registrant_country'] = data['registrant_country']
            itemlist.append(item)
    
        print(itemlist)
    

    【讨论】:

    • return codecs.charmap_encode(input,self.errors,encoding_map)[0] UnicodeEncodeError: 'charmap' codec can't encode characters in position 278445-278448: character maps to 我得到了以上错误
    【解决方案2】:

    您首先创建一个字典,然后将其转换为 JSON。例如:

    name ='ali'
    family='shahabi'
    output={'name' :name ,'family': family}
    json.dumps(output)
    

    打印:

    '{"name": "ali", "family": "shahabi"}'
    

    我建议转换:

    output = (dataserial,certno,brndname,clssification, common_name,dosage_form,expiry_date,m anufacturer, manufacturer_country, product_strength,registrant,registrant_country)
    

    到

    output = {'dataserial':dataserial,'certno':certno,'brndname':brndname , ....}
    

    【讨论】:

    • 我在控制台中得到了我需要的输出,但是当我写入文件时,只有最后一个数据对象被写入,而不是我需要澄清的所有对象,检查我编辑的代码
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