如何使用 Graph API 和 User Token 抓取 Facebook 数据？

我正在尝试抓取公共页面的 Facebook 数据。

我几个月前（可能是 10 个月前）使用的代码运行良好。现在，当我想继续那个项目时，但代码不再工作了。我曾经使用我的私人用户令牌，它会在几分钟后过期。但这对我的用例来说已经足够了。我不需要 App 和 App Review 等来获得永久令牌。

这是代码：

def getData(page, urlToConnect, startTime, filterStart, filterEnd):

    posts = []
    found = False

    try:
        while (True):
            #print(url)
            facebook_connection = urlopen(urlToConnect)
            data = facebook_connection.read().decode('utf8')
            json_object = json.loads(data)
            #posts=json_object["data"]
            allposts=json_object["data"]
            allposts = np.asarray(allposts)
            created = startTime
            for i in range(0,100,1):
                if (pd.to_datetime(allposts[i]['created_time']) > pd.to_datetime(created)):
                    posts.append(allposts[i])
                else:
                    print(" found date at this index: ", i)
                    posts.append(allposts[i])
                    found = True
                    break;
                if (i == 99):
                    urlToConnect = json_object["paging"]["next"]
            if (found == True):
                break; 



        df=pd.DataFrame(allposts)

        df['Angry'] = df['Angry'].astype(str).str.replace('{\'data\':(.*?)count\': ','')
        df['Angry'] = df['Angry'].str.replace(',(.*?)}}','')

        df['Haha'] = df['Haha'].astype(str).str.replace('{\'data\':(.*?)count\': ','')
        df['Haha'] = df['Haha'].str.replace('}}','')

        df['Love'] = df['Love'].astype(str).str.replace('{\'data\':(.*?)count\': ','')
        df['Love'] = df['Love'].str.replace('}}','')

        df['Sad'] = df['Sad'].astype(str).str.replace('{\'data\':(.*?)count\': ','')
        df['Sad'] = df['Sad'].str.replace(',(.*?)}}','')

        df['Wow'] = df['Wow'].astype(str).str.replace('{\'data\':(.*?)count\': ','')
        df['Wow'] = df['Wow'].str.replace('}}','')

        df['comments'] = df['comments'].astype(str).str.replace('{\'data\':(.*?)count\': ','')
        df['comments'] = df['comments'].str.replace(',(.*?)}}','')

        df['likes'] = df['likes'].astype(str).str.replace('{\'(.*?)count\':','')
        df['likes'] = df['likes'].str.replace(',(.*?)}}','')

        df['shares'] = df['shares'].astype(str).str.replace('{\'count\': ','')
        df['shares'] = df['shares'].str.replace('}','')

        df['date'], df['time'] = df['created_time'].astype(str).str.split('T', 1).str
        df['time'] = df['time'].str.replace('[+]0000','')

        # Convert NaN's to 0 (as string)
        df['shares'] = df['shares'].str.replace('nan','0')
        df['shares'] = df['shares'].str.replace('Nan','0')
        df['shares'] = df['shares'].str.replace('NaN','0')

        # Convert Series values from str to int
        df['shares'] = df['shares'].astype(int)
        df['likes'] = df['likes'].astype(int)
        df['comments'] = df['comments'].astype(int)
        df['Love'] = df['Love'].astype(int)
        df['Wow'] = df['Wow'].astype(int)
        df['Sad'] = df['Sad'].astype(int)
        df['Angry'] = df['Angry'].astype(int)
        df['Haha'] = df['Haha'].astype(int)


        # Sum over all number columns of one row
        col_list= list(df)
        df['total_reac'] = df[col_list].sum(axis=1)

        # Sort values by 'total_reac' column, descending
        df = df.sort_values(by='total_reac', ascending=False)

        # Convert column from str to datetime
        df['created_time'] = pd.to_datetime(df['created_time'])

        # Filter for dates needed
        df = df[(df['created_time'] > fStart) & (df['created_time'] <= fEnd)]


        # Save Dataframe as csv
        df.to_csv("Facebook_Posts_" + page + ".csv" )



    except Exception as ex:
        print (ex)

    return df



token="my_User__Token_Here (got from my personal  https://developers.facebook.com/tools/explorer)"

sTime = '2018-05-01'
fStart = '2018-05-01'
fEnd = '2018-05-29'


page_id="nytimes"

url="https://graph.facebook.com/3.2/"+page_id+"/posts/?fields=id,created_time,message,shares.summary(true).limit(0),comments.summary(true).limit(0),likes.summary(true),reactions.type(LOVE).limit(0).summary(total_count).as(Love),reactions.type(WOW).limit(0).summary(total_count).as(Wow),reactions.type(HAHA).limit(0).summary(total_count).as(Haha),reactions.type(SAD).limit(0).summary(1).as(Sad),reactions.type(ANGRY).limit(0).summary(1).as(Angry)&access_token="+token+"&limit=100"

dataNYT = getData(page_id, url, sTime, fStart, fEnd)


dataNYT.to_csv("NYT_posts.csv")

这是我现在遇到的错误：

HTTP Error 400: Bad Request

当我尝试在浏览器中输入请求的 url 时，出现此错误：

{
   "error": {
      "message": "Unknown path components: /nytimes/posts",
      "type": "OAuthException",
      "code": 2500,
      "fbtrace_id": "HsN9zi+byTD"
   }
}

有人有想法吗？