抓取动态网页(您可能感兴趣的列队申请是：+Season+J(图) )
优采云 发布时间: 2022-02-06 16:18抓取动态网页(您可能感兴趣的列队申请是：+Season+J(图)
)
在此示例中，Javascript 仅允许在网页上发送、接收和显示内容，而无需为每个请求实际重新加载网页。所以不需要解析javascript，只需要找到请求的信息，模拟那个请求，解析响应即可。为此，您可以在 Firefox 中使用 Firebug，或在 Chrome 中使用开发人员工具（在 Windows 中使用 ctrl+shift+J，在 Mac 中使用 cmd+opt+J）。在 Chrome 中，只需单击“网络”选项卡，当您单击 网站 时，您将看到请求和响应。
在这个特定的示例中，当您想要获取克利夫兰团队“2008-09”的统计数据时，javascript 会发出多个请求。您可能感兴趣的队列应用是：+Season&Season=2008-09&PaceAdjust=N&DateFrom=&sortOrder=DES&VsConference=&OpponentTeamID=0&DateTo=&GameSegment=&LastNGames=0&VsDivision=&LeagueID=00&Outcome=&GameScope=&MeasureType=Base&PerMode=Per48&sortPeriod=0N&SeasonSegment=& =0&rowsPerPage=100
下面是一个小蜘蛛的例子。你只需要定义 LineupItem 然后你就可以用 scrapy crawl stats -o output.json 来执行它。
import json
from scrapy.spider import Spider
from scrapy.http import Request
from nba.items import LineupItem
from urllib import urlencode
class StatsSpider(Spider):
name = "stats"
allowed_domains = ["stats.nba.com"]
start_urls = (
'http://stats.nba.com/',
)
def parse(self, response):
return self.get_lineup('1610612739','2008-09')
def get_lineup(self, team_id, season):
params = {
'Season': season,
'SeasonType': 'Regular Season',
'LeagueID': '00',
'TeamID': team_id,
'MeasureType': 'Base',
'PerMode': 'Per48',
'PlusMinus': 'N',
'PaceAdjust': 'N',
'Rank': 'N',
'Outcome': '',
'Location': '',
'Month': '0',
'SeasonSegment': '',
'DateFrom': '',
'DateTo': '',
'OpponentTeamID': '0',
'VsConference': '',
'VsDivision': '',
'GameSegment': '',
'Period': '0',
'LastNGames': '0',
'GroupQuantity': '5',
'GameScope': '',
'GameID': '',
'pageNo': '1',
'rowsPerPage': '100',
'sortField': 'MIN',
'sortOrder': 'DES'
}
return Request(
url="http://stats.nba.com/stats/teamdashlineups?" + urlencode(params),
dont_filter=True,
callback=self.parse_lineup
)
def parse_lineup(self,response):
data = json.loads(response.body)
for lineup in data['resultSets'][1]['rowSet']:
item = LineupItem()
item['group_set'] = lineup[0]
item['group_id'] = lineup[1]
item['group_name'] = lineup[2]
item['gp'] = lineup[3]
item['w'] = lineup[4]
item['l'] = lineup[5]
item['w_pct'] = lineup[6]
item['min'] = lineup[7]
item['fgm'] = lineup[8]
item['fga'] = lineup[9]
item['fg_pct'] = lineup[10]
item['fg3m'] = lineup[11]
item['fg3a'] = lineup[12]
item['fg3_pct'] = lineup[13]
item['ftm'] = lineup[14]
item['fta'] = lineup[15]
item['ft_pct'] = lineup[16]
item['oreb'] = lineup[17]
item['dreb'] = lineup[18]
item['reb'] = lineup[19]
item['ast'] = lineup[20]
item['tov'] = lineup[21]
item['stl'] = lineup[22]
item['blk'] = lineup[23]
item['blka'] = lineup[24]
item['pf'] = lineup[25]
item['pfd'] = lineup[26]
item['pts'] = lineup[27]
item['plus_minus'] = lineup[28]
yield item
这将产生一个json记录，例如：
{"gp": 30, "fg_pct": 0.491, "group_name": "Ilgauskas,Zydrunas - James,LeBron - Wallace,Ben - West,Delonte - Williams,Mo", "group_set": "Lineups", "w_pct": 0.833, "pts": 103.0, "min": 484.9866666666667, "tov": 13.3, "fta": 21.6, "pf": 16.0, "blk": 7.7, "reb": 44.2, "blka": 3.0, "ftm": 16.6, "ft_pct": 0.771, "fg3a": 18.7, "pfd": 17.2, "ast": 23.3, "fg3m": 7.4, "fgm": 39.5, "fg3_pct": 0.397, "dreb": 32.0, "fga": 80.4, "plus_minus": 18.4, "stl": 8.3, "l": 5, "oreb": 12.3, "w": 25, "group_id": "980 - 2544 - 1112 - 2753 - 2590"}
