Fetch search keyword suggestions
curl --request POST \
--url https://api.aisa.one/apis/v1/tikhub/douyin/search/fetch_search_suggest \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"keyword": "人工智能"
}
'import requests
url = "https://api.aisa.one/apis/v1/tikhub/douyin/search/fetch_search_suggest"
payload = { "keyword": "人工智能" }
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({keyword: '人工智能'})
};
fetch('https://api.aisa.one/apis/v1/tikhub/douyin/search/fetch_search_suggest', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.aisa.one/apis/v1/tikhub/douyin/search/fetch_search_suggest",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'keyword' => '人工智能'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.aisa.one/apis/v1/tikhub/douyin/search/fetch_search_suggest"
payload := strings.NewReader("{\n \"keyword\": \"人工智能\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.aisa.one/apis/v1/tikhub/douyin/search/fetch_search_suggest")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"keyword\": \"人工智能\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.aisa.one/apis/v1/tikhub/douyin/search/fetch_search_suggest")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"keyword\": \"人工智能\"\n}"
response = http.request(request)
puts response.read_body{
"code": 200,
"request_id": "<string>",
"message": "Request successful. This request will incur a charge.",
"message_zh": "请求成功,本次请求将被计费。",
"support": "Discord: https://discord.gg/aMEAS8Xsvz",
"time": "<string>",
"time_stamp": 123,
"time_zone": "America/Los_Angeles",
"docs": "<string>",
"cache_message": "This response is cached and accessible via the URL below for 24 hours at no extra cost. The cache is for request tracing only — it doesn't affect the API's data freshness and won't be returned through the API again.",
"cache_message_zh": "本次响应已缓存,可通过下方 URL 直接查看,有效期 24 小时,访问缓存链接无额外费用。缓存仅用于请求溯源,不影响接口数据的时效性,也不会再次通过接口返回。",
"cache_url": "<string>",
"router": "",
"params": {},
"data": "<unknown>"
}基础
获取搜索关键词推荐
获取搜索关键词推荐
POST
/
tikhub
/
douyin
/
search
/
fetch_search_suggest
Fetch search keyword suggestions
curl --request POST \
--url https://api.aisa.one/apis/v1/tikhub/douyin/search/fetch_search_suggest \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"keyword": "人工智能"
}
'import requests
url = "https://api.aisa.one/apis/v1/tikhub/douyin/search/fetch_search_suggest"
payload = { "keyword": "人工智能" }
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({keyword: '人工智能'})
};
fetch('https://api.aisa.one/apis/v1/tikhub/douyin/search/fetch_search_suggest', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.aisa.one/apis/v1/tikhub/douyin/search/fetch_search_suggest",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'keyword' => '人工智能'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.aisa.one/apis/v1/tikhub/douyin/search/fetch_search_suggest"
payload := strings.NewReader("{\n \"keyword\": \"人工智能\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.aisa.one/apis/v1/tikhub/douyin/search/fetch_search_suggest")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"keyword\": \"人工智能\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.aisa.one/apis/v1/tikhub/douyin/search/fetch_search_suggest")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"keyword\": \"人工智能\"\n}"
response = http.request(request)
puts response.read_body{
"code": 200,
"request_id": "<string>",
"message": "Request successful. This request will incur a charge.",
"message_zh": "请求成功,本次请求将被计费。",
"support": "Discord: https://discord.gg/aMEAS8Xsvz",
"time": "<string>",
"time_stamp": 123,
"time_zone": "America/Los_Angeles",
"docs": "<string>",
"cache_message": "This response is cached and accessible via the URL below for 24 hours at no extra cost. The cache is for request tracing only — it doesn't affect the API's data freshness and won't be returned through the API again.",
"cache_message_zh": "本次响应已缓存,可通过下方 URL 直接查看,有效期 24 小时,访问缓存链接无额外费用。缓存仅用于请求溯源,不影响接口数据的时效性,也不会再次通过接口返回。",
"cache_url": "<string>",
"router": "",
"params": {},
"data": "<unknown>"
}获取搜索关键词推荐
计费 — 成功调用基准价 $0.0145(= provider 成本 × 1.45;最终扣费按你的套餐倍率浮动)。仅当上游响应体
code 为 200 时计费。
示例
curl -X POST "https://api.aisa.one/apis/v1/tikhub/douyin/search/fetch_search_suggest" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{}' # 请求体结构见下方 schema
授权
AIsa API key. Get yours at https://aisa.one
请求体
application/json
需要联想的关键词/The keyword to be suggested
响应
200 - application/json
Successful Response
HTTP status code | HTTP状态码
Unique request identifier | 唯一请求标识符
Response message (EN-US) | 响应消息 (English)
Response message (ZH-CN) | 响应消息 (中文)
Support message | 支持消息
The time the response was generated | 生成响应的时间
The timestamp the response was generated | 生成响应的时间戳
The timezone of the response time | 响应时间的时区
Link to the API Swagger documentation for this endpoint | 此端点的 API Swagger 文档链接
cache_message
string | null
默认值:This response is cached and accessible via the URL below for 24 hours at no extra cost. The cache is for request tracing only — it doesn't affect the API's data freshness and won't be returned through the API again.
Cache message (EN-US) | 缓存消息 (English)
cache_message_zh
string | null
默认值:本次响应已缓存,可通过下方 URL 直接查看,有效期 24 小时,访问缓存链接无额外费用。缓存仅用于请求溯源,不影响接口数据的时效性,也不会再次通过接口返回。
Cache message (ZH-CN) | 缓存消息 (中文)
The URL to access the cached result | 访问缓存结果的 URL
The endpoint that generated this response | 生成此响应的端点
The parameters used in the request | 请求中使用的参数
The response data | 响应数据