实时 Gemini LLM 抓取器高级版
curl --request POST \
--url https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
[
{
"keyword": "<string>",
"location_name": "<string>",
"language_name": "<string>",
"location_code": 123,
"language_code": "<string>",
"tag": "<string>",
"location_coordinate": "<string>"
}
]
'import requests
url = "https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced"
payload = [
{
"keyword": "<string>",
"location_name": "<string>",
"language_name": "<string>",
"location_code": 123,
"language_code": "<string>",
"tag": "<string>",
"location_coordinate": "<string>"
}
]
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: '<string>',
location_name: '<string>',
language_name: '<string>',
location_code: 123,
language_code: '<string>',
tag: '<string>',
location_coordinate: '<string>'
}
])
};
fetch('https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced', 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/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced",
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' => '<string>',
'location_name' => '<string>',
'language_name' => '<string>',
'location_code' => 123,
'language_code' => '<string>',
'tag' => '<string>',
'location_coordinate' => '<string>'
]
]),
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/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced"
payload := strings.NewReader("[\n {\n \"keyword\": \"<string>\",\n \"location_name\": \"<string>\",\n \"language_name\": \"<string>\",\n \"location_code\": 123,\n \"language_code\": \"<string>\",\n \"tag\": \"<string>\",\n \"location_coordinate\": \"<string>\"\n }\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/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("[\n {\n \"keyword\": \"<string>\",\n \"location_name\": \"<string>\",\n \"language_name\": \"<string>\",\n \"location_code\": 123,\n \"language_code\": \"<string>\",\n \"tag\": \"<string>\",\n \"location_coordinate\": \"<string>\"\n }\n]")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced")
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 {\n \"keyword\": \"<string>\",\n \"location_name\": \"<string>\",\n \"language_name\": \"<string>\",\n \"location_code\": 123,\n \"language_code\": \"<string>\",\n \"tag\": \"<string>\",\n \"location_coordinate\": \"<string>\"\n }\n]"
response = http.request(request)
puts response.read_body{
"version": "<string>",
"status_code": 123,
"status_message": "<string>",
"time": "<string>",
"cost": 123,
"tasks_count": 123,
"tasks_error": 123,
"tasks": [
"<string>"
],
"tasks.id": "<string>",
"tasks.status_code": 123,
"tasks.status_message": "<string>",
"tasks.time": "<string>",
"tasks.cost": 123,
"tasks.result_count": 123,
"tasks.path": [
"<string>"
],
"tasks.data": {},
"tasks.result": [
"<string>"
],
"tasks.result.keyword": "<string>",
"tasks.result.location_code": 123,
"tasks.result.language_code": "<string>",
"tasks.result.model": "<string>",
"tasks.result.datetime": "<string>",
"tasks.result.markdown": "<string>",
"tasks.result.sources": [
"<string>"
],
"tasks.result.sources.type": "<string>",
"tasks.result.sources.title": "<string>",
"tasks.result.sources.snippet": "<string>",
"tasks.result.sources.domain": "<string>",
"tasks.result.sources.url": "<string>",
"tasks.result.sources.thumbnail": "<string>",
"tasks.result.sources.source_name": "<string>",
"tasks.result.sources.publication_date": "<string>",
"tasks.result.sources.markdown": "<string>",
"tasks.result.se_results_count": 123,
"tasks.result.item_types": [
"<string>"
],
"tasks.result.items_count": 123,
"tasks.result.items": [
"<string>"
],
"tasks.result.items.gemini_text": {},
"tasks.result.items.gemini_text.type": "<string>",
"tasks.result.items.gemini_text.rank_group": 123,
"tasks.result.items.gemini_text.rank_absolute": 123,
"tasks.result.items.gemini_text.markdown": "<string>",
"tasks.result.items.gemini_text.original_text": "<string>",
"tasks.result.items.gemini_text.sources": [
"<string>"
],
"tasks.result.items.gemini_text.sources.type": "<string>",
"tasks.result.items.gemini_text.sources.title": "<string>",
"tasks.result.items.gemini_text.sources.snippet": "<string>",
"tasks.result.items.gemini_text.sources.domain": "<string>",
"tasks.result.items.gemini_text.sources.url": "<string>",
"tasks.result.items.gemini_text.sources.thumbnail": "<string>",
"tasks.result.items.gemini_text.sources.source_name": "<string>",
"tasks.result.items.gemini_text.sources.publication_date": "<string>",
"tasks.result.items.gemini_text.sources.markdown": "<string>",
"tasks.result.items.gemini_table": {},
"tasks.result.items.gemini_table.type": "<string>",
"tasks.result.items.gemini_table.rank_group": 123,
"tasks.result.items.gemini_table.rank_absolute": 123,
"tasks.result.items.gemini_table.markdown": "<string>",
"tasks.result.items.gemini_table.original_text": "<string>",
"tasks.result.items.gemini_table.table": {},
"tasks.result.items.gemini_table.table.table_header": [
"<string>"
],
"tasks.result.items.gemini_table.table.table_content": [
"<string>"
],
"tasks.result.items.gemini_images": {},
"tasks.result.items.gemini_images.type": "<string>",
"tasks.result.items.gemini_images.rank_group": 123,
"tasks.result.items.gemini_images.rank_absolute": 123,
"tasks.result.items.gemini_images.markdown": "<string>",
"tasks.result.items.gemini_images.items": [
"<string>"
],
"tasks.result.items.gemini_images.items.type": "<string>",
"tasks.result.items.gemini_images.items.url": "<string>",
"tasks.result.items.gemini_images.items.alt": "<string>",
"tasks.result.items.gemini_images.items.image_url": "<string>",
"tasks.result.items.gemini_images.items.markdown": "<string>"
}Gemini
实时 Gemini LLM 抓取器高级版
像用户那样把 keyword 问给 Gemini，返回解析后的答案。
POST
https://api.aisa.one/apis/v1
/
dataforseo
/
ai_optimization
/
gemini
/
llm_scraper
/
live
/
advanced
实时 Gemini LLM 抓取器高级版
curl --request POST \
--url https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
[
{
"keyword": "<string>",
"location_name": "<string>",
"language_name": "<string>",
"location_code": 123,
"language_code": "<string>",
"tag": "<string>",
"location_coordinate": "<string>"
}
]
'import requests
url = "https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced"
payload = [
{
"keyword": "<string>",
"location_name": "<string>",
"language_name": "<string>",
"location_code": 123,
"language_code": "<string>",
"tag": "<string>",
"location_coordinate": "<string>"
}
]
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: '<string>',
location_name: '<string>',
language_name: '<string>',
location_code: 123,
language_code: '<string>',
tag: '<string>',
location_coordinate: '<string>'
}
])
};
fetch('https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced', 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/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced",
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' => '<string>',
'location_name' => '<string>',
'language_name' => '<string>',
'location_code' => 123,
'language_code' => '<string>',
'tag' => '<string>',
'location_coordinate' => '<string>'
]
]),
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/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced"
payload := strings.NewReader("[\n {\n \"keyword\": \"<string>\",\n \"location_name\": \"<string>\",\n \"language_name\": \"<string>\",\n \"location_code\": 123,\n \"language_code\": \"<string>\",\n \"tag\": \"<string>\",\n \"location_coordinate\": \"<string>\"\n }\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/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("[\n {\n \"keyword\": \"<string>\",\n \"location_name\": \"<string>\",\n \"language_name\": \"<string>\",\n \"location_code\": 123,\n \"language_code\": \"<string>\",\n \"tag\": \"<string>\",\n \"location_coordinate\": \"<string>\"\n }\n]")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced")
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 {\n \"keyword\": \"<string>\",\n \"location_name\": \"<string>\",\n \"language_name\": \"<string>\",\n \"location_code\": 123,\n \"language_code\": \"<string>\",\n \"tag\": \"<string>\",\n \"location_coordinate\": \"<string>\"\n }\n]"
response = http.request(request)
puts response.read_body{
"version": "<string>",
"status_code": 123,
"status_message": "<string>",
"time": "<string>",
"cost": 123,
"tasks_count": 123,
"tasks_error": 123,
"tasks": [
"<string>"
],
"tasks.id": "<string>",
"tasks.status_code": 123,
"tasks.status_message": "<string>",
"tasks.time": "<string>",
"tasks.cost": 123,
"tasks.result_count": 123,
"tasks.path": [
"<string>"
],
"tasks.data": {},
"tasks.result": [
"<string>"
],
"tasks.result.keyword": "<string>",
"tasks.result.location_code": 123,
"tasks.result.language_code": "<string>",
"tasks.result.model": "<string>",
"tasks.result.datetime": "<string>",
"tasks.result.markdown": "<string>",
"tasks.result.sources": [
"<string>"
],
"tasks.result.sources.type": "<string>",
"tasks.result.sources.title": "<string>",
"tasks.result.sources.snippet": "<string>",
"tasks.result.sources.domain": "<string>",
"tasks.result.sources.url": "<string>",
"tasks.result.sources.thumbnail": "<string>",
"tasks.result.sources.source_name": "<string>",
"tasks.result.sources.publication_date": "<string>",
"tasks.result.sources.markdown": "<string>",
"tasks.result.se_results_count": 123,
"tasks.result.item_types": [
"<string>"
],
"tasks.result.items_count": 123,
"tasks.result.items": [
"<string>"
],
"tasks.result.items.gemini_text": {},
"tasks.result.items.gemini_text.type": "<string>",
"tasks.result.items.gemini_text.rank_group": 123,
"tasks.result.items.gemini_text.rank_absolute": 123,
"tasks.result.items.gemini_text.markdown": "<string>",
"tasks.result.items.gemini_text.original_text": "<string>",
"tasks.result.items.gemini_text.sources": [
"<string>"
],
"tasks.result.items.gemini_text.sources.type": "<string>",
"tasks.result.items.gemini_text.sources.title": "<string>",
"tasks.result.items.gemini_text.sources.snippet": "<string>",
"tasks.result.items.gemini_text.sources.domain": "<string>",
"tasks.result.items.gemini_text.sources.url": "<string>",
"tasks.result.items.gemini_text.sources.thumbnail": "<string>",
"tasks.result.items.gemini_text.sources.source_name": "<string>",
"tasks.result.items.gemini_text.sources.publication_date": "<string>",
"tasks.result.items.gemini_text.sources.markdown": "<string>",
"tasks.result.items.gemini_table": {},
"tasks.result.items.gemini_table.type": "<string>",
"tasks.result.items.gemini_table.rank_group": 123,
"tasks.result.items.gemini_table.rank_absolute": 123,
"tasks.result.items.gemini_table.markdown": "<string>",
"tasks.result.items.gemini_table.original_text": "<string>",
"tasks.result.items.gemini_table.table": {},
"tasks.result.items.gemini_table.table.table_header": [
"<string>"
],
"tasks.result.items.gemini_table.table.table_content": [
"<string>"
],
"tasks.result.items.gemini_images": {},
"tasks.result.items.gemini_images.type": "<string>",
"tasks.result.items.gemini_images.rank_group": 123,
"tasks.result.items.gemini_images.rank_absolute": 123,
"tasks.result.items.gemini_images.markdown": "<string>",
"tasks.result.items.gemini_images.items": [
"<string>"
],
"tasks.result.items.gemini_images.items.type": "<string>",
"tasks.result.items.gemini_images.items.url": "<string>",
"tasks.result.items.gemini_images.items.alt": "<string>",
"tasks.result.items.gemini_images.items.image_url": "<string>",
"tasks.result.items.gemini_images.items.markdown": "<string>"
}像用户那样把
keyword 问给 Gemini，返回解析后的答案。返回 keyword、location_code、language_code、model、datetime、markdown、sources、se_results_count、item_types、items_count 和 items。实测 26.1 KB、$0.004——同一个问题，负载是 ChatGPT 版的两倍多。响应包在信封里：数据在 tasks[0].result，成败在 tasks[0].status_code——请求被拒时 HTTP 仍是 200。 ChatGPT 孪生是 post_dataforseo_ai_chat_gpt_llm_scraper_live；两个都跑再对比，正是本家族的用法。
示例
curl -X POST "https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '[{"keyword": "...", "location_name": "...", "location_code": "..."}]'
授权
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
请求体
application/json
- Option 1
- Option 2
- Option 3
- Option 4
- Option 5
- Option 6
keyword 必填字段。您可以在 keyword 字段中指定最多 2000 个字符。所有 %## 都将被解码（加号字符“+”将被解码为空格字符）。如果需要在关键词中使用“%”字符，请将其指定为“%25”；如果需要在关键词中使用“+”字符，请将其指定为“%2B”。有关 DataForSEO API 中 keyword 和 keywords 字段的规则与限制的更多信息，请参阅此帮助中心文章
搜索引擎位置的完整名称；如果未指定 location_code，则为必填字段。如果使用此字段，则无需指定 location_code。您可以向 https://api.dataforseo.com/v3/ai_optimization/gemini/llm_scraper/locations 单独发出请求，以获取搜索引擎的可用位置及其 location_name 列表；示例：United States
搜索引擎语言的完整名称。如果未指定 language_code，则为必填字段；如果使用此字段，则无需指定 language_code；可通过向 https://api.dataforseo.com/v3/ai_optimization/gemini/llm_scraper/languages 单独发送请求，获取搜索引擎的可用语言及其 language_name。示例：English
搜索引擎位置代码；如果未指定 location_name，则为必填字段；如果使用此字段，则无需指定 location_name；您可以通过向 https://api.dataforseo.com/v3/ai_optimization/gemini/llm_scraper/locations 单独发出请求，获取搜索引擎可用位置及其 location_code 的列表；示例：2840
搜索引擎语言代码。如果未指定 language_name，则此字段为必填字段；如果使用此字段，则无需指定 language_name；您可以单独向 https://api.dataforseo.com/v3/ai_optimization/gemini/llm_scraper/languages 发出请求，以获取搜索引擎可用语言及其 language_code_ 的列表。示例：enn
用户定义的任务标识符。可选字段。字符数限制为 255。您可以使用此参数标识任务并将其与结果匹配；您将在响应的 data 对象中找到指定的 tag 值
搜索位置，格式为 latitude,longitude,radius；可替代 location_name 或 location_code。
响应
成功响应
API 的当前版本
通用状态码；您可以在此处查看完整的响应码列表。注意：我们强烈建议设计必要的系统来处理相关异常或错误情况
常规信息消息；可在此处查看常规信息消息的完整列表
执行时间（秒）
任务总成本（美元）
tasks 数组中的任务数量
返回错误的 tasks 数组中的任务数量
任务数组
任务标识符，系统中采用 UUID 格式的唯一任务标识符
DataForSEO 生成的任务状态码；范围为：10000-60000；完整响应代码列表可在此处查看
任务的信息性消息，你可以在此处查看通用信息性消息的完整列表
执行时间（秒）
任务成本（美元）
结果数组中的元素数量
URL 路径
包含您在 POST 请求中指定的相同参数
结果数组
通过 POST 数组接收的 keyword；返回时会解码 %##（加号“+”将被解码为空格字符）
POST 数组中的位置代码
POST 数组中的语言代码
指示模型版本
以 UTC 格式接收结果的日期和时间：“yyyy-mm-dd hh-mm-ss +00:00”，示例：2019-11-15 12:57:46 +00:00
Markdown 格式的元素内容，即使用 Markdown 标记语言格式化的结果内容
来源数组 模型在最终答案中实际引用或依据的来源
元素类型='gemini_source'
来源标题
来源描述
来源域名
来源 URL
来源缩略图
来源名称
结果发布日期和时间，格式为：“年-月-日 时:分:秒 UTC_时差小时数:UTC_时差分钟数”，示例：2019-11-15 12:57:46 +00:00
Markdown 格式的元素内容，即使用 Markdown 标记语言格式化的结果内容
结果总数
搜索结果类型，包含 SERP 中找到的搜索结果（项目）类型。可能的项目类型：gemini_text、gemini_table、gemini_images
items 数组中返回的结果数量
Gemini 结果的元素
响应中的元素
元素类型='gemini_text'
SERP 中的组内排名，即在 type 值相同的一组元素中的位置；type 值不同的元素位置不会计入 rank_group
SERP 中的绝对排名，即该元素在 SERP 所有元素中的绝对位置
Markdown 格式的元素内容，即使用 Markdown 标记语言格式化的结果内容
元素的未格式化文本内容
来源数组
元素类型='gemini_source'
来源标题
来源描述
SERP 中的来源域名
来源 URL
来源缩略图
来源名称
结果发布日期和时间，格式为：“年-月-日 时:分:秒 UTC_时差小时数:UTC_时差分钟数”，示例：2019-11-15 12:57:46 +00:00
Markdown 格式的元素内容，即使用 Markdown 标记语言格式化的结果内容
响应中的元素
element='gemini_table' 的类型
SERP 中的组内排名，即在 type 值相同的一组元素中的位置；type 值不同的元素位置不会计入 rank_group
SERP 中的绝对排名，即该元素在 SERP 所有元素中的绝对位置
Markdown 格式的元素内容，即使用 Markdown 标记语言格式化的结果内容
元素的未格式化文本内容
元素中的表格，包括元素中表格的表头和内容
表格标题中的内容
元素中表格内容的数组，每个数组代表一个表格行
响应中的元素
element='gemini_images' 的类型
SERP 中的组内排名，即在 type 值相同的一组元素中的位置；type 值不同的元素位置不会计入 rank_group
SERP 中的绝对排名，即该元素在 SERP 所有元素中的绝对位置
Markdown 格式的元素内容，即使用 Markdown 标记语言格式化的结果内容
元素中的项目
元素类型 = 'gemini_images_element'
相关 URL
图片的 alt 标签
图片的 URL；该 URL 指向原始资源或 DataForSEO 存储中的图片（当原始来源不可用时）
Markdown 格式的元素内容，即使用 Markdown 标记语言格式化的结果内容