趋势：探索

按关键词、日期范围和分类提取 Google Trends 数据。API 支持多种搜索类型和过滤。

该 google_trends_explore source 旨在检索 Google Trends 结果。

由于持续存在的问题，与通过网页浏览器直接使用 Google Trends 相比，抓取的数据可能不会 100% 准确。请谨慎使用，并注意可能存在差异。

请求示例

在此示例中，我们发起请求以获取某个搜索词的趋势结果 adidas 介于 2021 年 1 月 1 日和 2022 年 2 月 2 日之间，并将类别设为“艺术与娱乐”（类别 ID： 3).

cURL

curl 'https://realtime.oxylabs.io/v1/queries' \\
--user 'USERNAME:PASSWORD' \\
-H 'Content-Type: application/json' \\
-d '{
        "source": "google_trends_explore",
        "query": "adidas",
        "context": [
            {"key": "date_from", "value": "2021-01-01"},
            {"key": "date_to", "value": "2022-02-02"},
            {"key": "category_id", "value": 3}
        ]
    }'

Python

import requests
from pprint import pprint


# 结构化载荷。
payload = {
    'source': 'google_trends_explore',
    'query': 'adidas',
    'context': [
        {'key': 'date_from', 'value': '2021-01-01'},
        {'key': 'date_to', 'value': '2022-02-02'},
        {'key': 'category_id', 'value': 3},
    ],
}


# 获取响应。
response = requests.request(
    'POST',
    'https://realtime.oxylabs.io/v1/queries',
    auth=('USERNAME', 'PASSWORD'),
    json=payload,
)

# Print prettified response to stdout.
pprint(response.json())

Node.js

const https = require("https");

const username = "USERNAME";
const password = "PASSWORD";
const body = {
    source: "google_trends_explore",
    query: "adidas",
    context: [
        { key: "date_from", value: "2021-01-01" },
        { key: "date_to", value: "2022-02-02" },
        { key: "category_id", value: 3 },
    ],
};

const options = {
    hostname: "realtime.oxylabs.io",
    path: "/v1/queries",
    method: "POST",
    headers: {
        "Content-Type": "application/json",
        Authorization:
            "Basic " + Buffer.from(`${username}:${password}`).toString("base64"),
    },
};

const request = https.request(options, (response) => {
    let data = "";

    response.on("data", (chunk) => {
        data += chunk;
    });

    response.on("end", () => {
        const responseData = JSON.parse(data);
        console.log(JSON.stringify(responseData, null, 2));
    });
});

request.on("error", (error) => {
    console.error("Error:", error);
});

request.write(JSON.stringify(body));
request.end();

HTTP

https://realtime.oxylabs.io/v1/queries?source=google_trends_explore&query=adidas&context[0][key]=date_from&context[0][value]=2021-01-01&&context[1][key]=date_to&context[1][value]=2022-02-02&context[2][key]=category_id&context[0][value]=3&access_token=12345abcde

PHP

<?php

$params = array(
    'source' => 'google_trends_explore',
    'query' => 'adidas',
    'context' => [
        ['key' => 'date_from', 'value' => '2021-01-01'],
        ['key' => 'date_to', 'value' => '2022-02-02'],
        ['key' => 'category_id', 'value' => 3]
    ]
);

$ch = curl_init();

curl_setopt($ch, CURLOPT_URL, "https://realtime.oxylabs.io/v1/queries");
curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($params));
curl_setopt($ch, CURLOPT_POST, 1);
curl_setopt($ch, CURLOPT_USERPWD, "USERNAME" . ":" . "PASSWORD");


$headers = array();
$headers[] = "Content-Type: application/json";
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);

$result = curl_exec($ch);
echo $result;

if (curl_errno($ch)) {
    echo 'Error:' . curl_error($ch);
}
curl_close($ch);

Golang

package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"io/ioutil"
	"net/http"
)

func main() {
	const Username = "USERNAME"
	const Password = "PASSWORD"

	payload := map[string]interface{}{
		"source": "google_trends_explore",
		"query":  "adidas",
		"context": []map[string]interface{}{
			{"key": "date_from", "value": "2021-01-01"},
			{"key": "date_to", "value": "2022-02-02"},
			{"key": "category_id", "value": 3},
		},
	}

	jsonValue, _ := json.Marshal(payload)

	client := &http.Client{}
	request, _ := http.NewRequest("POST",
		"https://realtime.oxylabs.io/v1/queries",
		bytes.NewBuffer(jsonValue),
	)

	request.SetBasicAuth(Username, Password)
	response, _ := client.Do(request)

	responseText, _ := ioutil.ReadAll(response.Body)
	fmt.Println(string(responseText))
}

C#

using System;
using System.Collections.Generic;
using System.Net.Http;
using System.Net.Http.Json;
using System.Threading.Tasks;

namespace OxyApi
{
    class Program
    {
        static async Task Main()
        {
            const string Username = "USERNAME";
            const string Password = "PASSWORD";

            var parameters = new {
                source = "google_trends_explore",
                query = "adidas",
                context = new dynamic [] {
                    new { key = "date_from", value = "2021-01-01" },
                    new { key = "date_to", value = "2022-02-02" },
                    new { key = "category_id", value = 3 }
                }
            };

            var client = new HttpClient();

            Uri baseUri = new Uri("https://realtime.oxylabs.io");
            client.BaseAddress = baseUri;

            var requestMessage = new HttpRequestMessage(HttpMethod.Post, "/v1/queries");
            requestMessage.Content = JsonContent.Create(parameters);

            var authenticationString = $"{Username}:{Password}";
            var base64EncodedAuthenticationString = Convert.ToBase64String(System.Text.ASCIIEncoding.UTF8.GetBytes(authenticationString));
            requestMessage.Headers.Add("Authorization", "Basic " + base64EncodedAuthenticationString);

            var response = await client.SendAsync(requestMessage);
            var contents = await response.Content.ReadAsStringAsync();

            Console.WriteLine(contents);
        }
    }
}

Java

package org.example;

import okhttp3.*;
import org.json.JSONArray;
import org.json.JSONObject;
import java.util.concurrent.TimeUnit;

public class Main implements Runnable {
    private static final String AUTHORIZATION_HEADER = "Authorization";
    public static final String USERNAME = "USERNAME";
    public static final String PASSWORD = "PASSWORD";

    public void run() {
        JSONObject jsonObject = new JSONObject();
        jsonObject.put("source", "google_trends_explore");
        jsonObject.put("query", "adidas");
        jsonObject.put("context", new JSONArray()
                .put(new JSONObject().put("key", "date_from").put("value", "2021-01-01"))
                .put(new JSONObject().put("key", "date_to").put("value", "2022-02-02"))
                .put(new JSONObject().put("key", "category_id").put("value", 3))
        );

        Authenticator authenticator = (route, response) => {
            String credential = Credentials.basic(USERNAME, PASSWORD);
            return response
                    .request()
                    .newBuilder()
                    .header(AUTHORIZATION_HEADER, credential)
                    .build();
        };

        var client = new OkHttpClient.Builder()
                .authenticator(authenticator)
                .readTimeout(180, TimeUnit.SECONDS)
                .build();

        var mediaType = MediaType.parse("application/json; charset=utf-8");
        var body = RequestBody.create(jsonObject.toString(), mediaType);
        var request = new Request.Builder()
                .url("https://realtime.oxylabs.io/v1/queries")
                .post(body)
                .build();

        try (var response = client.newCall(request).execute()) {
            if (response.body() != null) {
                try (var responseBody = response.body()) {
                    System.out.println(responseBody.string());
                }
            }
        } catch (Exception exception) {
            System.out.println("Error: " + exception.getMessage());
        }

        System.exit(0);
    }

    public static void main(String[] args) {
        new Thread(new Main()).start();
    }
}

JSON

{
    "source": "google_trends_explore",
    "query": "adidas",
    "context": [
        {"key": "date_from", "value": "2021-01-01"},
        {"key": "date_to", "value": "2022-02-02"},
        {"key": "category_id", "value": 3}
    ]
}

我们在示例中使用同步 Realtime 集成方法。如果您想使用 Proxy Endpoint 或异步 Push-Pull 集成，请参阅 集成方法 部分。

请求参数值

通用

抓取 Google Trends 结果的基础设置和自定义选项。

参数	描述	默认值
source	设置抓取器。	google_trends_explore
查询	要搜索的关键词或短语。	-
callback_url	回调端点的 URL。 更多信息	-
user_agent_type	设备类型和浏览器。完整列表可在 此处.	desktop
geo_location	结果应适配的地理位置。对于 Google Trends: Explore，我们接受 2 位 ISO 国家代码作为 geo_location 参数值。	-

- 必填参数

筛选

用于定制和细化搜索上下文的高级选项。

参数	描述	默认值
context: search_type	用于设置搜索类型（Google Trends 界面上的选项之一）。可选值： web_search, image_search, google_shopping, youtube_search.	web_search
context: date_from	下限日期边界。格式： YYYY-MM-DD。最早可能日期： 2004-01-01.	-
context: date_to	上限日期边界。格式： YYYY-MM-DD。最早可能日期： 2004-01-01.	-
context: category_id	类别 ID。请参阅 此文件 中的有效值列表。	-

Context 参数

所有 context 参数都应添加到 context 数组中，作为带有 键 和 值 对的对象，例如：

...
"context": [
    {
        "key": "filter",
        "value": "0"
    }
]
...

注意: 此服务始终返回结构化数据 - 因此无需在此 source 中使用 解析 参数。

输出示例

{
    "results": [
        {
            "content":"{\"interest_over_time\": [{\"keyword\": \"adidas\", \"items\": [{\"time\": \"Jan 3\ \–\ 9, 2021\", \"value\": 75}, {\"time\": \"Jan 10\ \–\ 16, 2021\", \"value\": 79}...{\"query\": \"adidas zx\", \"value\": 10, \"formatted_value\": \"10\", \"link\": \"/trends/explore?q=adidas+zx&date=2021-01-01+2022-02-02\"}]}]}",
            "created_at": "2024-02-13 11:33:21",
            "updated_at": "2024-02-13 11:33:27",
            "page": 1,
            "url": "https://trends.google.com/trends/api/explore?hl=en-US&tz=0&req=%7B%22comparisonItem%22%3A+%5B%7B%22keyword%22%3A+%22adidas%22%2C+%22geo%22%3A+%22%22%2C+%22time%22%3A+%222021-01-01+2022-02-02%22%7D%5D%2C+%22category%22%3A+0%2C+%22property%22%3A+%22%22%7D",
            "job_id": "7163133042662350849",}
            "status_code": 200
        }
    ]
}