Crawling drug trials info from China gov-site

date
Jul 1, 2021
slug
china-drug-trials-crawler
status
Published
summary
A web crawler for chinadrugtrials.org.cn, written in Python 3.6+.
tags
Crack
Python
Academic
type
Post
A web crawler for chinadrugtrials.org.cn, written in Python 3.6+.
notion image

GETTING START

  1. Install requirements:pip install -r requirements.txt
  1. Run:python main.py

PROGRAMME STRUCTURE

File structure

  • main.py # Start the whole project - lib/fetch.py # Network I/O - lib/extract.py # Data extraction - lib/text.py # Text tools for extraction - lib/df.py # Local I/O

Type & function annotations

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OUTPUT DATA

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Table columns

pd.DataFrame:
['ID', '实验数据ID', '实验数据获取时间', '登记号1', '试验状态', '申请人联系人', '首次公示信息日期', '申请人名称', '登记号2', '相关登记号', '药物名称', '药物类型', '临床申请受理号', '适应症', '试验专业题目', '试验通俗题目', '试验方案编号', '方案最新版本号', '版本日期', '方案是否为联合用药', '申请人名称', '联系人姓名', '联系人座机', '联系人手机号', '联系人Email', '联系人邮政地址', '联系人邮编', '试验目的', '试验分类', '试验分期', '设计类型', '随机化', '盲法', '试验范围', '受试者年龄', '受试者性别', '健康受试者', '受试者入选标准', '受试者排除标准', '试验药', '对照药', '主要终点指标及评价时间', '次要终点指标及评价时间', '数据安全监查委员会DMC', '为受试者购买试验伤害保险', '主要研究者信息', '各参加机构信息', '伦理委员会信息', '试验状态', '试验人数', '受试者招募及试验完成日期', ' 临床试验结果摘要']

变量 Variables

[trial_id, trial_id_hash, srcdate, regid, status, contact, pubdate, regstor, regno, relno, medname, medtype, recordno, indic, protitle, comtitle, planno, planver, verdate, united, regname, contname, contfixed, contmobile, contemail, contaddr, contzip, cltpps, clttype, cltpart, cltclass, cltrandom, cltblind, cltrange, subage, subsex, subheal, subin, subex, grpint, grpcomp, pind, sind, dmc, ins, prim, inst, ethic, tristatus, tripop, trirecru, triresult]

REQUIREMENTS

  • PyppeteerUnofficial Python port of puppeteer JavaScript (headless) chrome/chromium browser automation library.
  • Beautifulsoup4Beautiful Soup is a library that makes it easy to scrape information from web pages. It sits atop an HTML or XML parser, providing Pythonic idioms for iterating, searching, and modifying the parse tree.
  • PandasPandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with structured (tabular, multidimensional, potentially heterogeneous) and time series data both easy and intuitive.

MAJOR STATEMENT

本项目用于技术学习和小型实验,禁止任何使用者用于盈利目的或违法用途。This project is for technical learning and small experiments, and any user is prohibited from using it for profit purposes or illegal use.
项目及其作者不对其他使用者的任何使用、传播及相应后果承担任何责任。The project and its authors do not assume any responsibility for any use, dissemination and corresponding consequences by other users.

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