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>",
  "location_code": 123,
  "language_name": "<string>",
  "language_code": "<string>",
  "tag": "<string>"
}
'

import requests

url = "https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced"

payload = {
    "keyword": "<string>",
    "location_name": "<string>",
    "location_code": 123,
    "language_name": "<string>",
    "language_code": "<string>",
    "tag": "<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>',
    location_code: 123,
    language_name: '<string>',
    language_code: '<string>',
    tag: '<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>',
    'location_code' => 123,
    'language_name' => '<string>',
    'language_code' => '<string>',
    'tag' => '<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  \"keyword\": \"<string>\",\n  \"location_name\": \"<string>\",\n  \"location_code\": 123,\n  \"language_name\": \"<string>\",\n  \"language_code\": \"<string>\",\n  \"tag\": \"<string>\"\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  \"keyword\": \"<string>\",\n  \"location_name\": \"<string>\",\n  \"location_code\": 123,\n  \"language_name\": \"<string>\",\n  \"language_code\": \"<string>\",\n  \"tag\": \"<string>\"\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  \"keyword\": \"<string>\",\n  \"location_name\": \"<string>\",\n  \"location_code\": 123,\n  \"language_name\": \"<string>\",\n  \"language_code\": \"<string>\",\n  \"tag\": \"<string>\"\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>"
}

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>",
  "location_code": 123,
  "language_name": "<string>",
  "language_code": "<string>",
  "tag": "<string>"
}
'

import requests

url = "https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced"

payload = {
    "keyword": "<string>",
    "location_name": "<string>",
    "location_code": 123,
    "language_name": "<string>",
    "language_code": "<string>",
    "tag": "<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>',
    location_code: 123,
    language_name: '<string>',
    language_code: '<string>',
    tag: '<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>',
    'location_code' => 123,
    'language_name' => '<string>',
    'language_code' => '<string>',
    'tag' => '<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  \"keyword\": \"<string>\",\n  \"location_name\": \"<string>\",\n  \"location_code\": 123,\n  \"language_name\": \"<string>\",\n  \"language_code\": \"<string>\",\n  \"tag\": \"<string>\"\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  \"keyword\": \"<string>\",\n  \"location_name\": \"<string>\",\n  \"location_code\": 123,\n  \"language_name\": \"<string>\",\n  \"language_code\": \"<string>\",\n  \"tag\": \"<string>\"\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  \"keyword\": \"<string>\",\n  \"location_name\": \"<string>\",\n  \"location_code\": 123,\n  \"language_name\": \"<string>\",\n  \"language_code\": \"<string>\",\n  \"tag\": \"<string>\"\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

Authorization

string

header

必填

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

请求体

application/json

keyword

string

必填

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

location_name

string

必填

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

location_code

integer

必填

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

language_name

string

必填

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

language_code

string

必填

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

tag

string

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

响应

成功响应

version

string

API 的当前版本

status_code

integer

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

status_message

string

常规信息消息；可在此处查看常规信息消息的完整列表

time

string

执行时间（秒）

cost

number

任务总成本（美元）

tasks_count

integer

tasks 数组中的任务数量

tasks_error

integer

返回错误的 tasks 数组中的任务数量

tasks

string[]

任务数组

tasks.id

string

任务标识符，系统中采用 UUID 格式的唯一任务标识符

tasks.status_code

integer

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

tasks.status_message

string

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

tasks.time

string

执行时间（秒）

tasks.cost

number

任务成本（美元）

tasks.result_count

integer

结果数组中的元素数量

tasks.path

string[]

URL 路径

tasks.data

object

包含您在 POST 请求中指定的相同参数

tasks.result

string[]

结果数组

tasks.result.keyword

string

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）

tasks.result.location_code

integer

POST 数组中的位置代码

tasks.result.language_code

string

POST 数组中的语言代码

tasks.result.model

string

指示模型版本

tasks.result.datetime

string

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

tasks.result.markdown

string

Markdown 格式的元素内容，即使用 Markdown 标记语言格式化的结果内容

tasks.result.sources

string[]

来源数组模型在最终答案中实际引用或依据的来源

tasks.result.sources.type

string

元素类型='gemini_source'

tasks.result.sources.title

string

来源标题

tasks.result.sources.snippet

string

来源描述

tasks.result.sources.domain

string

来源域名

tasks.result.sources.url

string

来源 URL

tasks.result.sources.thumbnail

string

来源缩略图

tasks.result.sources.source_name

string

来源名称

tasks.result.sources.publication_date

string

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

tasks.result.sources.markdown

string

Markdown 格式的元素内容，即使用 Markdown 标记语言格式化的结果内容

tasks.result.se_results_count

integer

结果总数

tasks.result.item_types

string[]

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

tasks.result.items_count

integer

items 数组中返回的结果数量

tasks.result.items

string[]

Gemini 结果的元素

tasks.result.items.gemini_text

object

响应中的元素

tasks.result.items.gemini_text.type

string

元素类型='gemini_text'

tasks.result.items.gemini_text.rank_group

integer

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

tasks.result.items.gemini_text.rank_absolute

integer

SERP 中的绝对排名，即该元素在 SERP 所有元素中的绝对位置

tasks.result.items.gemini_text.markdown

string

Markdown 格式的元素内容，即使用 Markdown 标记语言格式化的结果内容

tasks.result.items.gemini_text.original_text

string

元素的未格式化文本内容

tasks.result.items.gemini_text.sources

string[]

来源数组

tasks.result.items.gemini_text.sources.type

string

元素类型='gemini_source'

tasks.result.items.gemini_text.sources.title

string

来源标题

tasks.result.items.gemini_text.sources.snippet

string

来源描述

tasks.result.items.gemini_text.sources.domain

string

SERP 中的来源域名

tasks.result.items.gemini_text.sources.url

string

来源 URL

tasks.result.items.gemini_text.sources.thumbnail

string

来源缩略图

tasks.result.items.gemini_text.sources.source_name

string

来源名称

tasks.result.items.gemini_text.sources.publication_date

string

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

tasks.result.items.gemini_text.sources.markdown

string

Markdown 格式的元素内容，即使用 Markdown 标记语言格式化的结果内容

tasks.result.items.gemini_table

object

响应中的元素

tasks.result.items.gemini_table.type

string

element='gemini_table' 的类型

tasks.result.items.gemini_table.rank_group

integer

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

tasks.result.items.gemini_table.rank_absolute

integer

SERP 中的绝对排名，即该元素在 SERP 所有元素中的绝对位置

tasks.result.items.gemini_table.markdown

string

Markdown 格式的元素内容，即使用 Markdown 标记语言格式化的结果内容

tasks.result.items.gemini_table.original_text

string

元素的未格式化文本内容

tasks.result.items.gemini_table.table

object

元素中的表格，包括元素中表格的表头和内容

tasks.result.items.gemini_table.table.table_header

string[]

表格标题中的内容

tasks.result.items.gemini_table.table.table_content

string[]

元素中表格内容的数组，每个数组代表一个表格行

tasks.result.items.gemini_images

object

响应中的元素

tasks.result.items.gemini_images.type

string

element='gemini_images' 的类型

tasks.result.items.gemini_images.rank_group

integer

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

tasks.result.items.gemini_images.rank_absolute

integer

SERP 中的绝对排名，即该元素在 SERP 所有元素中的绝对位置

tasks.result.items.gemini_images.markdown

string

Markdown 格式的元素内容，即使用 Markdown 标记语言格式化的结果内容

tasks.result.items.gemini_images.items

string[]

元素中的项目

tasks.result.items.gemini_images.items.type

string

元素类型 = 'gemini_images_element'

tasks.result.items.gemini_images.items.url

string

概览

聊天 API

Embeddings 与重排序

搜索 API

Perplexity API

金融 API

Twitter API

Reddit API

Instagram API

Pinterest API

学术搜索 API

WaveInflu API

预测市场 API

CoinGecko

DataForSEO

AgentMail

Apollo

基础功能

实时 Gemini LLM 抓取器高级版

示例

授权

请求体

响应

​示例

授权

请求体

响应

示例