我试图从freebase请求大量数据。但我收到错误消息“HTTP响应代码:403”。以前有没有人有类似的问题?
这是我的代码
private static final String service_url =“https://www.googleapis.com/freebase/v1/mqlread”;
public static void main(String[] args)
{
try
{
String cursor = "";
String urlStr_initial = service_url + "?query=" + URLEncoder.encode(getQuery(), "UTF-8") + "&cursor";
URL url = new URL(urlStr_initial);
List<Freebase> list = new ArrayList<Freebase>();
Freebase f_b;
do
{
HttpURLConnection url_con = (HttpURLConnection)url.openConnection();
url_con.addRequestProperty("User-Agent", "Mozilla/4.76");
StringBuilder str_builder = new StringBuilder();
BufferedReader reader = new BufferedReader(new InputStreamReader(url_con.getInputStream()));
String line;
while((line = reader.readLine()) != null)
{
str_builder.append(line);
}
String response = str_builder.toString();
JSONObject j_object = new JSONObject(response);
if(j_object.has("result"))
{
JSONArray j_array = j_object.getJSONArray("result");
for(int i = 0; i < j_array.length(); i++)
{
JSONObject j_o = j_array.getJSONObject(i);
if(j_o.has("id") == true && j_o.has("name"))
{
String id = j_o.getString("id");
String name = j_o.getString("name");
System.out.println("ID: " + id + " / Name:" + name);
f_b = new Freebase(id, name);
if(f_b != null)
{
list.add(f_b);
}
else
{
System.out.println("Null value in Freebase");
}
}
}
}
else
{
System.out.println("There is no \"result\" key in JASON object");
}
if(j_object.has("cursor"))
{
cursor = j_object.get("cursor").toString();
}
else
{
cursor = "false";
}
String urlStr = urlStr_initial + "=" + cursor;
url = new URL(urlStr);
}while( !cursor.equalsIgnoreCase("false"));
if(list != null)
{
TextFile tf = new TextFile();
tf.writeToFile(list);
}
}
catch(Exception e)
{
e.printStackTrace();
}
}
private static String getQuery()
{
return "[{"
+ "\"name\": null,"
+ "\"id\": null,"
+ "\"type\":\"/people/person\","
+ "\"limit\": 500"
+ "}]";
}
答案 0 :(得分:1)
您没有说“大”是什么,但API并非专为批量下载而设计。您应该使用数据转储。
HTTP响应代码中通常包含更详细的错误消息。例如,如果它显示403 - Forbidden - 需要API密钥,则表示您没有包含API密钥(我没有看到您在代码中包含它的位置)。如果它显示403 - 禁止 - 超出配额意味着您已超出您的请求配额(您可以在API控制台上查看剩余的配额)。