# Yandex

**SERP API Yandex查询参数**

使用 Thordata的 SERP API 配置Yandex搜索查询，包括本土化、地理位置和分页等参数输出选项。

<details>

<summary><strong><code>q</code> ,搜索查询(必填)</strong></summary>

定义用于数据抓取的搜索查询（默认值：`q=pizza`）。支持任何语言的任意关键词。

**示例请求：**

使用`q`：<mark style="color:blue;">pizza</mark>参数的示例

<pre class="language-sh"><code class="lang-sh"><strong>curl -X POST https://scraperapi.thordata.com/request \
</strong> -H "Content-Type: application/x-www-form-urlencoded" \
 -H "Authorization: Bearer token" \
 -d "engine=yandex" \
 -d "text=pizza" \
 -d "json=1"
</code></pre>

</details>

## 本土化

<details>

<summary><code>yandex_domain</code> <strong>，域名(非必填)</strong></summary>

该参数定义了爬取时使用的域名，默认值为 `yandex.com`

**示例请求：**

查询 `q` : <mark style="color:blue;">pizza</mark>,`url`:<mark style="color:blue;">yandex.com.tr</mark>的示例结果

```sh
curl -X POST https://scraperapi.thordata.com/request \
 -H "Content-Type: application/x-www-form-urlencoded" \
 -H "Authorization: Bearer token" \
 -d "engine=yandex" \
 -d "text=pizza" \
 -d "yandex_domain=yandex.com" \
 -d "json=1"
```

</details>

<details>

<summary><strong><code>lang</code> ，语言(非必填)</strong></summary>

该参数定义了爬取时搜索结果使用的语言，默认值为 `en` 。它是一个由两个字母组成的语言代码（例如，`en`, `ru`, `es`）。

详情列表: [Yandex Language Codes](https://yandex.com/support/search/query-language.html)

**示例请求：**

查询 `q` : <mark style="color:blue;">pizza</mark>,`lang`:<mark style="color:blue;">en</mark>的示例结果

```sh
curl -X POST https://scraperapi.thordata.com/request \
 -H "Content-Type: application/x-www-form-urlencoded" \
 -H "Authorization: Bearer token" \
 -d "engine=yandex" \
 -d "text=pizza" \
 -d "json=1" \
 -d "lang=en"
```

</details>

## 地理位置

<details>

<summary><strong><code>lr</code> ，位置(非必填)</strong></summary>

指定搜索结果的地区（如 `lr=Moscow,Russia` 仅显示`Moscow`结果），优先级高于IP定位。

**示例请求：**

查询 `q` : <mark style="color:blue;">pizza</mark>,`lr`:<mark style="color:blue;">India</mark>的示例结果

```sh
curl -X POST https://scraperapi.thordata.com/request \
 -H "Content-Type: application/x-www-form-urlencoded" \
 -H "Authorization: Bearer token" \
 -d "engine=yandex" \
 -d "text=pizza" \
 -d "json=1" \
 -d "lr=India"
```

</details>

<details>

<summary><strong><code>rstr</code> ，位置严格检查(非必填)</strong></summary>

双重过滤——强制结果匹配指定地区（`lr`）或启用安全搜索（如 `rstr=family` 屏蔽成人内容）。

**示例请求：**

查询 `q` : <mark style="color:blue;">pizza</mark>,`rstr`:<mark style="color:blue;">true</mark>的示例结果

```sh
curl -X POST https://scraperapi.thordata.com/request \
 -H "Content-Type: application/x-www-form-urlencoded" \
 -H "Authorization: Bearer token" \
 -d "engine=yandex" \
 -d "text=pizza" \
 -d "json=1" \
 -d "rstr=true"
```

</details>

## 分页

<details>

<summary><strong><code>p</code> ，页码（非必填)</strong></summary>

分页控制（从 `p=0` 开始），需配合每页条数参数使用。\
示例:`p=2`，获取第3页的结果。

**示例请求：**

查询  `q` : <mark style="color:blue;">pizza</mark>,`p`:<mark style="color:blue;">2</mark>的示例结果

```sh
curl -X POST https://scraperapi.thordata.com/request \
 -H "Content-Type: application/x-www-form-urlencoded" \
 -H "Authorization: Bearer token" \
 -d "engine=yandex" \
 -d "text=pizza" \
 -d "json=1" \
 -d "p=2"
```

</details>

<details>

<summary><strong><code>within</code> ，时间周期(非必填)</strong></summary>

时间/域限制:

时间范围:within=7天(过去7天)

**示例请求：**

查询 `q` : <mark style="color:blue;">pizza</mark>,`within`:<mark style="color:blue;">2</mark>的示例结果

```sh
curl -X POST https://scraperapi.thordata.com/request \
 -H "Content-Type: application/x-www-form-urlencoded" \
 -H "Authorization: Bearer token" \
 -d "engine=yandex" \
 -d "text=pizza" \
 -d "json=1" \
 -d "within=2"
```

</details>

如果您需要更多帮助，请通过邮箱<support@thordata.com>联系我们。


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://doc.thordata.com/doc/zh/pa-qu/serp-api/cha-xun-can-shu/yandex.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.