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This article is about how Python crawls Gaode map subway line and station data. Xiaobian thinks it is quite practical, so share it with everyone for reference. Let's follow Xiaobian and have a look.

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# coding=utf-8import requestsimport timeimport jsonimport astimport osimport utilsfrom lxml import etreePAGE_URL = 'http://map.amap.com/subway/index.html?& 1100'DATA_URL = 'http://map.amap.com/service/subway? srhdata='HEADER = { "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36"}def fetchAllCity(url, header): r = requests.get(url, header) html = r.content element = etree.HTML(html) options = element.xpath("//a[contains(@class, 'city')]") cities = [] for option in options: city = { 'id': option.get('id'), 'name': option.get('cityname'), 'text': option.text } cities.append(city) return citiesdef parseCityData(citys): lw = open('./ lwkt.txt', 'w') lw.write('wkt' + '\n') pw = open('./ pwkt.txt', 'w') pw.write('wkt' + '\n') for city in citys: parseCityPointFromApi(city, lw, pw)def parseCityPointFromApi(city, lw, pw): url = DATA_URL + "{}_drw_{}.json".format(city['id'], city['name']) print(url) json_str = requests.get(url).text res = json.loads(json_str) res = res['l'] for r in res: st = r['st'] coords = [] for s in st: _coords = s.get('sl', '').split(',') coords.append(_coords) pwkt = '"POINT ({} {})"'.format(_coords[0], _coords[1]) pw.write(pwkt + '\n') new_coords = ','.join(['%s %s' % (coord[0], coord[1]) for coord in coords]) lwkt = '"LINESTRING(%s)"' % new_coords lw.write(lwkt + '\n')def main(): cities = fetchAllCity(PAGE_URL, HEADER) print(cities) parseCityData(cities)if __name__ == '__main__': main() Thank you for reading! About "Python how to crawl Gaode map subway line and site data" This article is shared here, I hope the above content can be of some help to everyone, so that everyone can learn more knowledge, if you think the article is good, you can share it to let more people see it!

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