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99 lines
4.3 KiB
99 lines
4.3 KiB
5 months ago
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from bs4 import BeautifulSoup
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import requests
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import csv
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def ask_url(url):
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head = {
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"User-Agent":
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
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}
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try:
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r = requests.get(url, headers=head, timeout=30)
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r.raise_for_status()
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r.encoding = 'utf-8'
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return r.text
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except:
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return ""
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def get_data(base_url):
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data_list = []
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for i in range(0, 10):
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url = base_url + str(i + 1)
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html = ask_url(url)
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if html == "":
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continue
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soup = BeautifulSoup(html, 'lxml')
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for item in soup.find_all('div', class_="result_item"):
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data = {}
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if item.div.p.span.string == "疾病":
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data['diseaseName'] = item.div.p.a.string
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symptoms = []
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p = item.find('p', class_='result_item_content_label')
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for symptom in p.find_all('a'):
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symptoms.append(symptom.string)
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sub_url = item.div.p.a.attrs["href"]
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sub_html = ask_url(sub_url)
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if sub_html == "":
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continue
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sub_soup = BeautifulSoup(sub_html, 'html.parser')
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information_ul = sub_soup.find('ul', class_="information_ul")
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for detail in information_ul.find_all('li'):
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if detail.i.string == '别名：':
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data['diseaseAlias'] = detail.span.string
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elif detail.i.string == '发病部位：':
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data['siteOfOnset'] = []
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for site in detail.span.find_all('a'):
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data['siteOfOnset'].append(site.string)
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elif detail.i.string == '传染性：':
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data['infectivity'] = detail.span.string
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elif detail.i.string == '多发人群：':
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data['multiplePopulation'] = detail.span.string
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elif detail.i.string == '并发症：':
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data['complication'] = []
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for complication in detail.span.find_all('a'):
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data['complication'].append(complication.string)
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elif detail.i.string == '挂号科室：':
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data['registrationDepartment'] = []
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for department in detail.span.find_all('a'):
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data['registrationDepartment'].append(department.string)
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elif detail.i.string == '临床检查：':
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data['clinicalExamination'] = []
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for examination in detail.span.find_all('a'):
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data['clinicalExamination'].append(examination.string)
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elif detail.i.string == '典型症状：':
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for symptom in detail.span.find_all('a'):
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symptoms.append(symptom.string)
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data['commonDrugs'] = symptoms
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information_ul1 = sub_soup.find('ul', class_="information_ul information_ul_bottom")
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for detail in information_ul1.find_all('li'):
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if detail.i.string == '常用药品：':
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data['commonDrugs'] = []
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for drug in detail.span.find_all('a'):
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data['commonDrugs'].append(drug.string)
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data_list.append(data)
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return data_list
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def save_data(data_list, save_path):
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with open(save_path, 'w', newline='', encoding='utf-8') as csvfile:
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fieldnames = ["diseaseName", "diseaseAlias", "siteOfOnset", "infectivity", "multiplePopulation", "complication", "registrationDepartment", "clinicalExamination", "commonDrugs"]
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writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
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writer.writeheader()
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for data in data_list:
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writer.writerow(data)
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return ""
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if __name__ == "__main__":
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base_url = "https://jbk.39.net/bw/jizhenke_p"
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save_path = "D:\数据采集\PycharmProjects\pythonProject\数据采集\文件\疾病.csv"
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data_list = get_data(base_url)
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save_data(data_list, save_path)
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