此脚本将从 boardgamegeek api 获取项目数据并将数据存储在 csv 文件中。
我更新了之前的脚本。由于 api 响应采用 xml 格式，并且没有端点可以一次获取所有项目，因此前面的脚本将循环遍历提供的 id 范围，对每个项目进行逐一调用。这不是最优的，对于较大范围的 id 来说需要很长时间（目前 bgg 上可用的项目 (id) 的最高数量高达 400k+），并且结果可能不可靠。因此，通过对此脚本的一些修改，更多的项目id将作为参数值添加到单个请求url中，这样，单个响应将返回多个项目（〜800是单个响应返回的最高数量。bgg稍后可能会更改它；您可以轻松调整batch_size以便根据需要进行调整）。
此外，此脚本将获取所有项目，而不仅仅是与棋盘游戏相关的数据。
为每个棋盘游戏获取和存储的信息如下：
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名称、游戏 id、类型、评级、权重、发布年份、最小玩家数、最大玩家数、最短游戏时间、最大支付时间、最小年龄、所属者、类别、机制、设计师、艺术家和发行商。
该脚本的更新如下；我们首先导入此脚本所需的库：
# import libraries from bs4 import beautifulsoup from csv import dictwriter import pandas as pd import requests import time
以下是脚本完成时根据 id 范围调用的函数。此外，如果发出请求时出现错误，将调用此函数以存储截至异常发生时附加到游戏列表的所有数据。
# csv file saving function
def save_to_csv(games):
csv_header = [
'name', 'game_id', 'type', 'rating', 'weight', 'year_published', 'min_players', 'max_players',
'min_play_time', 'max_play_time', 'min_age', 'owned_by', 'categories',
'mechanics', 'designers', 'artists', 'publishers'
]
with open('bgg.csv', 'a', encoding='utf8') as f:
dictwriter_object = dictwriter(f, fieldnames=csv_header)
if f.tell() == 0:
dictwriter_object.writeheader()
dictwriter_object.writerows(games)
我们需要定义请求的标头。请求之间的暂停可以通过 sleep_between_requests 设置（我看到一些信息说速率限制是每秒 2 个请求，但它可能是过时的信息，因为我将暂停设置为 0 没有遇到问题）。另外，这里设置起始点id（start_id_range）、最大范围（max_id_range）和batch_size的值，batch_size是响应应该返回的游戏数量。基本 url 在本节中定义，但 id 在脚本的下一部分中添加。
# define request url headers
headers = {
"user-agent": "mozilla/5.0 (macintosh; intel mac os x 10.16; rv:85.0) gecko/20100101 firefox/85.0",
"accept-language": "en-gb, en-us, q=0.9, en"
}
# define sleep timer value between requests
sleep_between_request = 0
# define max id range
start_id_range = 0
max_id_range = 403000
batch_size = 800
base_url = "https://boardgamegeek.com/xmlapi2/thing?id="
下面是这个脚本的主要逻辑。首先，根据批量大小，它会生成一个在定义的 id 范围内的 id 字符串，但 id 的数量不得超过 batch_size 中定义的数量，并将其附加到 url 的 id 参数中。这样，每个响应将返回与批量大小相同的项目数量的数据。之后，它将处理数据并将其附加到每个响应的游戏列表中，最后附加到 csv 文件中。
# main loop that will iterate between the starting and maximum range in intervals of the batch size
for batch_start in range(start_id_range, max_id_range, batch_size):
# make sure that the batch size will not exceed the maximum ids range
batch_end = min(batch_start + batch_size - 1, max_id_range)
# join and append to the url the ids within batch size
ids = ",".join(map(str, range(batch_start, batch_end + 1)))
url = f"{base_url}?id={ids}&stats=1"
# if by any chance there is an error, this will throw the exception and continue on the next batch
try:
response = requests.get(url, headers=headers)
except exception as err:
print(err)
continue
if response.status_code == 200:
soup = beautifulsoup(response.text, features="html.parser")
items = soup.find_all("item")
games = []
for item in items:
if item:
try:
# find values in the xml
name = item.find("name")['value'] if item.find("name") is not none else 0
year_published = item.find("yearpublished")['value'] if item.find("yearpublished") is not none else 0
min_players = item.find("minplayers")['value'] if item.find("minplayers") is not none else 0
max_players = item.find("maxplayers")['value'] if item.find("maxplayers") is not none else 0
min_play_time = item.find("minplaytime")['value'] if item.find("minplaytime") is not none else 0
max_play_time = item.find("maxplaytime")['value'] if item.find("maxplaytime") is not none else 0
min_age = item.find("minage")['value'] if item.find("minage") is not none else 0
rating = item.find("average")['value'] if item.find("average") is not none else 0
weight = item.find("averageweight")['value'] if item.find("averageweight") is not none else 0
owned = item.find("owned")['value'] if item.find("owned") is not none else 0
link_type = {'categories': [], 'mechanics': [], 'designers': [], 'artists': [], 'publishers': []}
links = item.find_all("link")
# append value(s) for each link type
for link in links:
if link['type'] == "boardgamecategory":
link_type['categories'].append(link['value'])
if link['type'] == "boardgamemechanic":
link_type['mechanics'].append(link['value'])
if link['type'] == "boardgamedesigner":
link_type['designers'].append(link['value'])
if link['type'] == "boardgameartist":
link_type['artists'].append(link['value'])
if link['type'] == "boardgamepublisher":
link_type['publishers'].append(link['value'])
# append 0 if there is no value for any link type
for key, ltype in link_type.items():
if not ltype:
ltype.append("0")
game = {
"name": name,
"game_id": item['id'],
"type": item['type'],
"rating": rating,
"weight": weight,
"year_published": year_published,
"min_players": min_players,
"max_players": max_players,
"min_play_time": min_play_time,
"max_play_time": max_play_time,
"min_age": min_age,
"owned_by": owned,
"categories": ', '.join(link_type['categories']),
"mechanics": ', '.join(link_type['mechanics']),
"designers": ', '.join(link_type['designers']),
"artists": ', '.join(link_type['artists']),
"publishers": ', '.join(link_type['publishers']),
}
# append current item to games list
games.append(game)
except typeerror:
print(">>> nonetype error. continued on the next item.")
continue
save_to_csv(games)
print(f">>> request successful for batch {batch_start}-{batch_end}")
else:
print(f">>> failed batch {batch_start}-{batch_end}")
# pause between requests
time.sleep(sleep_between_request)
下面您可以以 pandas dataframe 的形式预览 csv 文件中的前几行记录。
# Preview the CSV as pandas DataFrame
df = pd.read_csv('./bgg.csv')
print(df.head(5))
