Perpelexity 抓取工具 - Perpelexity 爬虫工具

抓取 Perplexity 对话,在 Perplexity 中跟踪提及与排名,并获取竞争对手洞察。采集 URL、提示词(prompt)、回答文本、来源等更多信息—全部轻松且实时获取。

支持支付宝等多种支付方式
Perpelexity 抓取工具 - Perpelexity 爬虫工具
  • 通过 API 或无代码爬虫按需抓取
  • 仅为成功交付的结果付费
  • 批量请求处理,最多 5,000 个 URL
  • 以多种格式获取结果
值得信赖 全球 超20000 位客户

完全托管选项

通过我们的托管服务享受无忧数据体验

全新!专为 AI 搜索引擎打造的网络抓取 API

跟踪您的品牌在 ChatGPT、Perplexity 等 AI 生成搜索结果中的出现情况

通过实时追踪品牌提及、推荐以及竞品对比,确保您的品牌在 AI 生成搜索结果中的准确呈现。

AI 搜索可见性

在 OpenAI 的 GPT、Perplexity AI 等 AI 搜索引擎上监测动态的 AI 驱动搜索排名和品牌提及,保持竞争优势。

实时 AI 追踪

分析 AI 搜索引擎如何对您的品牌和竞争对手进行排名,帮助您优化品牌曝光度,并在 AI 生成的推荐中取得更有利的位置。

竞争洞察

全新!专为 AI 搜索引擎打造的网络抓取 API

追踪您的品牌在 ChatGPT、Perplexity 等 AI 生成搜索结果中的出现情况
AI 搜索
AI 搜索可见性
通过实时追踪提及、推荐以及竞品对比,确保您的品牌在 AI 生成搜索结果中的准确呈现。
实时 AI
搜索 & 收集
  • 从任何网站查找并提取实时数据。
  • 使用基于 LLM 的查询来获取最相关的记录。
  • 高效过滤海量数据集,最大限度减少人工操作。
  • 通过预设提取计划实现数据获取自动化。
竞争洞察
探索 & 交互
  • 专为网络自动化和 AI 驱动场景而打造。
  • 采用 API 优先的方法,并在需要时采用图形界面来应对动态页面。
  • 实时搜索、过滤、优化数据提取流程。
  • 遍历整个网站或特定部分,以获取相关数据。
网页抓取器 API

网页抓取器 API 库

轻松获取来自先进 AI 模型的结构化回复,包括来源、引文和上下文等相关元数据。

ChatGPT Search

URL, Prompt, Answer html, Answer text, Links attached, Citations, Recommendations, Country, and more.
Views264+
Downloads174+

Google AI Mode Search

URL, Prompt, Answer html, Answer text, Links attached, Citations, Index, Country, and more.
Views236+
Downloads38+

Gemini Search

URL, Prompt, Answer html, Answer text, Links attached, Citations, Country, Index, and more.
Views225+
Downloads24+

Perplexity Search

URL, Prompt, Answer html, Answer text, Answer text markdown, Sources, Source html, Is shopping data, and more.
Views223+
Downloads55+

Grok Search

URL, Prompt, Answer text, Answer html, Index, Answer text markdown, Citations, Response raw, and more.
Views221+
Downloads15+

Bing Copilot Search

URL, Prompt, Answer text, Answer html, Answer text markdown, Sources, Index, Answer section html, and more.
Views219+
Downloads17+
可用的交付方式

定价

Perpelexity抓取API订阅计划
体验套餐
0
$1.5 /1K Records
按量支付
免费试用

按需付费,无需每月承诺。
25% OFF
Records 510K
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$499 月付计划
免费试用
Use this coupon code: APIS25

专为寻求扩大运营的团队量身定制
25% OFF
Records 1M
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$0.83 /1K Records
$999 月付计划
免费试用
Use this coupon code: APIS25

为具有广泛运营需求的大型团队设计
25% OFF
Records 2.5M
$1
$0.75 /1K Records
$1999 月付计划
免费试用
Use this coupon code: APIS25

为关键操作提供高级支持和功能
企业级套餐
适合行业领导者:精英数据解决方案,满足一流企业需求
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  • 专属客户经理
  • 定制套餐
  • 高级服务水平协议
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  • 个性化的使用流程引导
  • 单点登录 (SSO)
  • 定制化
  • 审核日志
我们接受这些支付方式:

代码示例

轻松爬取 Perplexity 数据,无需担心被封禁。

输入
JSON
curl -H "Authorization: Bearer API_TOKEN" -H "Content-Type: application/json" -d '[{"url":"https://www.perplexity.ai","prompt":"automation","country":"US","index":1}]' "https://api.brightdata.com/datasets/v3/trigger?dataset_id=gd_m7dhdot1vw9a7gc1n&format=json&uncompressed_webhook=true"
输出
JSON
[
  {
    "db_source": "ub_cache",
    "timestamp": "2026-01-10",
    "url": "https:\/\/www.perplexity.ai\/search\/na-xie-pin-pai-shan-yu-tong-gu-kNYvMJTaQ3CjUQuoFUSsFA",
    "prompt": "哪些品牌善于通过 IP 授权把书籍改编成影视或动漫作品? (The user\u0027s location is Hong Kong. Be sure to reply in Chinese language)",
    "answer_html": "\u003Chtml lang=\u0022en-US\u0022 data-color-scheme=\u0022light\u0022 dir=\u0022ltr\u0022\u003E\n\u003Chead\u003E\n\u003Cmeta name=\u0022min-version\u0022 content=\u00221768010400172\u0022\u003E\n\u003Cmeta n...",
    "answer_text": "简短回答:在书籍改编为影视、动漫等作品的领域,拥有强大IP授权能力的品牌通常来自大型出版\/内容平台、就像阅文集团、腾讯文学、阿里文学等,以及拥有广泛影视制作资源的公司如阿里影业、华谊兄弟、唐人影视等。这些机构通过系统化的IP资产管理和跨媒介...",
    "answer_text_markdown": "简短回答:在书籍改编为影视、动漫等作品的领域,拥有强大IP授权能力的品牌通常来自大型出版\/内容平台、就像阅文集团、腾讯文学、阿里文学等,以及拥有广泛影视制作资源的公司如阿里影业、华谊兄弟、唐人影视等。这些机构通过系统化的IP资产管理和跨媒介...",
    "sources": [
      {
        "description": null,
        "position": 1,
        "title": "IP的实质:网络文学知识产权漫议",
        "url": "http:\/\/cll.newdu.com\/m\/view.php?aid=8915"
      },
      {
        "description": null,
        "position": 2,
        "title": "这些IP正在成为授权热门…… - 深圳童车婴童展",
        "url": "https:\/\/www.chinababyfair.com\/news\/344.html"
      },
      {
        "description": null,
        "position": 3,
        "title": "IP授权商品零售额1年破千亿?谈谈IP这些事儿| 品牌运营笔记",
        "url": "https:\/\/www.woshipm.com\/marketing\/5452747.html"
      },
      {
        "description": null,
        "position": 4,
        "title": "您可能还会对这些文章感兴趣!",
        "url": "https:\/\/wen.nuanque.com\/shouquan\/1483.html"
      },
      {
        "description": null,
        "position": 5,
        "title": "不是所有的书都能成为IP,如何让书实现十倍级增值!",
        "url": "https:\/\/www.sohu.com\/a\/237899294_292883"
      },
      {
        "description": null,
        "position": 6,
        "title": "Градоначальники города Глупова - Лебедев И.А. Подробное описание экспоната, аудиогид, интересные факты. Официальный сайт...",
        "url": "https:\/\/ar.culture.ru\/ru\/subject\/shirma-gradonachalniki-goroda-glupova"
      },
      {
        "description": null,
        "position": 7,
        "title": "ip影视小说推荐",
        "url": "https:\/\/m.qidian.com\/ask\/tqbzfrhskurbp"
      },
      {
        "description": null,
        "position": 8,
        "title": "从IP形象到产品故事,成功的授权商们有什么秘诀?",
        "url": "https:\/\/www.tripvivid.com\/25419.html"
      }
    ]
  },
  {
    "db_source": "ub_cache",
    "timestamp": "2026-01-10",
    "url": "https:\/\/www.perplexity.ai\/search\/how-does-image-recognition-hel-7Nzdpp3XQtudrF1BZ0YVRw",
    "prompt": "How does image recognition help in retail execution? refer to this url to answer https:\/\/bizom.com\/smart-merchandising\/",
    "answer_html": "\u003Chtml lang=\u0022en-US\u0022 data-color-scheme=\u0022light\u0022 dir=\u0022ltr\u0022\u003E\n\u003Chead\u003E\n\u003Cmeta name=\u0022min-version\u0022 content=\u00221768010400172\u0022\u003E\n\u003Cmeta n...",
    "answer_text": "Image recognition helps retail execution by turning shelf photos into accurate, real-time data about product presence, p...",
    "answer_text_markdown": "Image recognition helps retail execution by turning shelf photos into accurate, real-time data about product presence, p...",
    "sources": [
      {
        "description": null,
        "position": 1,
        "title": "Best Retail Merchandising Tool for FMCG - Bizom",
        "url": "https:\/\/bizom.com\/smart-merchandising\/"
      },
      {
        "description": null,
        "position": 2,
        "title": "2 Use Cases for Image Recognition in Retail Execution",
        "url": "https:\/\/www.wiser.com\/blog\/2-use-cases-for-image-recognition-in-retail-execution"
      },
      {
        "description": null,
        "position": 3,
        "title": "How Image Recognition Technology is Transforming Retail Execution",
        "url": "https:\/\/www.wiser.com\/blog\/how-image-recognition-technology-is-transforming-retail-execution"
      },
      {
        "description": null,
        "position": 4,
        "title": "The Importance of Image Recognition in Retail Execution - Shelvz",
        "url": "https:\/\/www.shelvz.com\/the-importance-of-image-recognition-in-retail-execution\/"
      },
      {
        "description": null,
        "position": 5,
        "title": "How Image Recognition for Retail Execution Works? - ParallelDots",
        "url": "https:\/\/www.paralleldots.com\/resources\/blog\/how-image-recognition-and-retail-execution-works"
      },
      {
        "description": null,
        "position": 6,
        "title": "Using AI Image Recognition to Transform Retail - Maxerience",
        "url": "https:\/\/maxerience.com\/revolutionizing-retail-how-ai-image-recognition-is-transforming-the-shopping-experience\/"
      },
      {
        "description": null,
        "position": 7,
        "title": "Get AI Vision For Retail Execution - Bizom",
        "url": "https:\/\/bizom.com\/blog\/get-ai-vision-for-retail-execution\/"
      },
      {
        "description": null,
        "position": 8,
        "title": "Involves Stage | Image Recognition forRetail Execution - Involves",
        "url": "https:\/\/involves.com\/en\/stage\/image-recognition\/"
      }
    ]
  },
  {
    "db_source": "ub_cache",
    "timestamp": "2026-01-10",
    "url": "https:\/\/www.perplexity.ai\/search\/how-can-ai-reduce-manual-etl-i-ve7utcgFTzqhPNp3JqNsDg",
    "prompt": "How can AI reduce manual ETL in data engineering? refer to this url to answer https:\/\/nexla.com\/blog\/how-ai-is-transform...",
    "answer_html": "\u003Chtml lang=\u0022en-US\u0022 data-color-scheme=\u0022light\u0022 dir=\u0022ltr\u0022\u003E\n\u003Chead\u003E\n\u003Cmeta name=\u0022min-version\u0022 content=\u00221768010400172\u0022\u003E\n\u003Cmeta n...",
    "answer_text": "AI reduces manual ETL by turning much of the hand‑written code and point‑and‑click configuration into declarative, promp...",
    "answer_text_markdown": "AI reduces manual ETL by turning much of the hand‑written code and point‑and‑click configuration into declarative, promp...",
    "sources": [
      {
        "description": null,
        "position": 1,
        "title": "AI-Powered Data Transformation: Smarter Pipelines with a CDM",
        "url": "https:\/\/nexla.com\/blog\/ai-powered-data-transformation\/"
      },
      {
        "description": null,
        "position": 2,
        "title": "4 Ways Generative AI is Transforming Data Engineering - Nexla",
        "url": "https:\/\/nexla.com\/generative-ai-transforming-data-engineering\/"
      },
      {
        "description": null,
        "position": 3,
        "title": "How AI is Transforming Data Engineering | Databricks Blog",
        "url": "https:\/\/www.databricks.com\/blog\/how-ai-transforming-data-engineering"
      },
      {
        "description": null,
        "position": 4,
        "title": "How AI is Transforming ETL in Data Warehousing - Firebolt",
        "url": "https:\/\/www.firebolt.io\/blog\/how-ai-is-transforming-etl-in-data-warehousing"
      },
      {
        "description": null,
        "position": 5,
        "title": "AI ETL: How Artificial Intelligence Automates Data Pipelines",
        "url": "https:\/\/www.databricks.com\/blog\/ai-etl-how-artificial-intelligence-automates-data-pipelines"
      },
      {
        "description": null,
        "position": 6,
        "title": "AI in data engineering: Optimizing your data infrastructure - Lumenalta",
        "url": "https:\/\/lumenalta.com\/insights\/ai-in-data-engineering:-optimizing-your-data-infrastructure"
      },
      {
        "description": null,
        "position": 7,
        "title": "How AI-Powered Data Modeling Will Replace Traditional ETL in 2025",
        "url": "https:\/\/dataengineeracademy.com\/blog\/how-ai-powered-data-modeling-will-replace-traditional-etl-in-2025\/"
      },
      {
        "description": null,
        "position": 8,
        "title": "From ETL to AI Agents: How AI Is Transforming Data Engineering",
        "url": "https:\/\/blog.dataengineerthings.org\/from-etl-to-ai-agents-how-ai-is-transforming-data-engineering-1e9d0f54c187"
      }
    ]
  },
  {
    "db_source": "ub_cache",
    "timestamp": "2026-01-10",
    "url": "https:\/\/www.perplexity.ai\/search\/challenges-in-adopting-ai-for-b_baEc4WTWiR5exWDAFTBA",
    "prompt": "Challenges in adopting AI for retail and how to overcome them? refer to this url to answer https:\/\/bizom.com\/real-intell...",
    "answer_html": "\u003Chtml lang=\u0022en-US\u0022 data-color-scheme=\u0022light\u0022 dir=\u0022ltr\u0022\u003E\n\u003Chead\u003E\n\u003Cmeta name=\u0022min-version\u0022 content=\u00221768010400172\u0022\u003E\n\u003Cmeta n...",
    "answer_text": "Adopting AI in retail is usually blocked by data\/privacy issues, legacy systems, unclear ROI, and change‑management chal...",
    "answer_text_markdown": "Adopting AI in retail is usually blocked by data\/privacy issues, legacy systems, unclear ROI, and change‑management chal...",
    "sources": [
      {
        "description": null,
        "position": 1,
        "title": "Real Intelligence | Bizom",
        "url": "https:\/\/bizom.com\/real-intelligence\/"
      },
      {
        "description": null,
        "position": 2,
        "title": "The Pros and Cons of AI Adoption in Retail - Epicor",
        "url": "https:\/\/www.epicor.com\/en-us\/blog\/industries\/the-pros-and-cons-of-ai-adoption-in-retail\/"
      },
      {
        "description": null,
        "position": 3,
        "title": "Why retailers struggle with AI adoption and how data leaders ...",
        "url": "https:\/\/www.strategysoftware.com\/blog\/why-retailers-struggle-with-ai-adoption-and-how-data-leaders-overcome-hidden-chall..."
      },
      {
        "description": null,
        "position": 4,
        "title": "9 Common Pitfalls of AI in Retail and How to Avoid Them",
        "url": "https:\/\/www.concordusa.com\/blog\/9-common-pitfalls-of-ai-in-retail-and-how-to-avoid-them"
      },
      {
        "description": null,
        "position": 5,
        "title": "7 Smart Retail Trends To Adopt in 2023 | Bizom",
        "url": "https:\/\/bizom.com\/blog\/7-smart-retail-innovations-to-watch-out-for-in-2023\/"
      },
      {
        "description": null,
        "position": 6,
        "title": "Real or Artificial: Defining True Intelligence | Bizom",
        "url": "https:\/\/bizom.com\/blog\/real-or-artificial-defining-true-intelligence\/"
      },
      {
        "description": null,
        "position": 7,
        "title": "Is AI Ready to Rule? - Bizom",
        "url": "https:\/\/bizom.com\/blog\/is-ai-ready-to-rule\/"
      },
      {
        "description": null,
        "position": 8,
        "title": "Mastering Supply Chains with Retail Intelligence - Bizom",
        "url": "https:\/\/bizom.com\/blog\/optimizing-supply-chain-processes-with-retail-intelligence\/"
      }
    ]
  },
  {
    "db_source": "ub_cache",
    "timestamp": "2026-01-10",
    "url": "https:\/\/www.perplexity.ai\/search\/can-photoiq-ai-help-picture-li-N71xonzUSAy_ijka1nf88w",
    "prompt": "Can PhotoIQ.ai help picture libraries prepare images for licensing platforms like Getty Images or Alamy? (The user\u0027s loc...",
    "answer_html": "\u003Chtml lang=\u0022en-US\u0022 data-color-scheme=\u0022light\u0022 dir=\u0022ltr\u0022\u003E\n\u003Chead\u003E\n\u003Cmeta name=\u0022min-version\u0022 content=\u00221768010400172\u0022\u003E\n\u003Cmeta n...",
    "answer_text": "PhotoIQ.ai could potentially help in preparing images for licensing platforms, but exact capabilities depend on the spec...",
    "answer_text_markdown": "PhotoIQ.ai could potentially help in preparing images for licensing platforms, but exact capabilities depend on the spec...",
    "sources": [
      {
        "description": null,
        "position": 1,
        "title": "How to Manage Copyright \u0026 Licensing Chains for Batch Enhanced Commercial Images",
        "url": "https:\/\/www.hitpaw.com\/ai-copyright-tips\/manage-copyright-licensing-batch-enhancing-commercial-images.html"
      },
      {
        "description": null,
        "position": 2,
        "title": "Usage Rules for Getty and Alamy Images",
        "url": "https:\/\/www.reddit.com\/r\/graphic_design\/comments\/v70tva\/usage_rules_for_getty_and_alamy_images\/"
      },
      {
        "description": null,
        "position": 3,
        "title": "AI in Image License Verification - picdefense.io",
        "url": "https:\/\/picdefense.io\/blog\/ai-in-image-license-verification\/"
      },
      {
        "description": null,
        "position": 4,
        "title": "Avoiding the dreaded Getty Image legal threats",
        "url": "https:\/\/www.reddit.com\/r\/webdev\/comments\/1bu8mw8\/avoiding_the_dreaded_getty_image_legal_threats\/"
      },
      {
        "description": null,
        "position": 5,
        "title": "Drafting AI-friendly Image License Agreements - Genie AI",
        "url": "https:\/\/www.genieai.co\/blog\/drafting-ai-friendly-image-license-agreements"
      },
      {
        "description": null,
        "position": 6,
        "title": "Alamy stock photo agency invoicing me for unlicensed use of \u0022their\u0022 image, but I created it.",
        "url": "https:\/\/www.reddit.com\/r\/LegalAdviceUK\/comments\/186n5ah\/alamy_stock_photo_agency_invoicing_me_for\/"
      },
      {
        "description": null,
        "position": 7,
        "title": "PhotoIQ - AutoSquared.AI",
        "url": "https:\/\/autosquared.ai\/use-case\/photoiq\/"
      },
      {
        "description": null,
        "position": 8,
        "title": "Alamy vs Getty",
        "url": "https:\/\/www.reddit.com\/r\/photography\/comments\/67pxzc\/alamy_vs_getty\/"
      }
    ]
  }
]
        
更快部署

一次API调用,大量数据。

数据发现

检测数据结构和模式,以确保高效、针对性的数据提取。

批量请求处理

降低服务器负载,并为大规模抓取任务优化数据采集。

数据解析

高效地将原始 HTML 转换为结构化数据,简化数据集成与分析。

数据验证

确保数据可靠性,节省人工检查与预处理时间。

底层架构

不再为代理和验证码烦恼

  • 自动 IP 轮换
  • 验证码(CAPTCHA)求解
  • User-Agent 轮换
  • 自定义请求头
  • JavaScript 渲染
  • 住宅代理
顶级用户体验

易于开始,更易扩展。

无与伦比的稳定性

依靠全球领先的代理基础设施,确保一致的性能并将故障降至最低。

简化的网页抓取

使用可投入生产的API将您的抓取任务自动化,节省资源并减少维护。

无限扩展性

轻松扩展您的抓取项目以满足数据需求,同时保持最佳性能。

用于无缝Perpelexity数据访问的API

全面、可扩展且合规的Perpelexity数据提取

灵活的
灵活的

量身定制您的工作流程

通过Webhook或API交付,以JSON、NDJSON或CSV文件获取结构化的LinkedIn数据。

可扩展的
可扩展的

内置基础设施和解封功能

无需维护代理和解封基础设施,即可获得最完全的控制和灵活性。轻松从任何地理位置抓取数据,同时避免验证码和封锁。

稳定的
稳定的

经过实战验证的基础设施

Bright Data平台为全球超过超20000家公司提供支持,确保99.99%的正常运行时间,并提供覆盖195个国家的超15000万个真实用户IP。

合规的
合规的

行业领先的合规性

我们的隐私实践符合数据保护法律,包括欧盟数据保护法规框架、GDPR和CCPA,尊重行使隐私权的请求等。

Perpelexity 抓取工具 - Perpelexity 爬虫工具 API 用例

爬取 Perplexity 交互,以随时了解用户查询和 AI 回复的最新趋势。

监测 Perplexity 中的对话,以了解新兴话题和 AI 的发展动态。

爬取 Perplexity 数据,以分析回复质量和用户满意度。

访问 Perplexity 日志,进行深入研究并获取全面见解。

为什么 超20000 位客户选择Bright Data

100%合规

抓取的数据是通过道德方式获取的,并符合所有隐私法律。

全球 24/7 支持

一支专注的数据专业团队随时为您提供帮助。

全面的数据覆盖

访问超15000万全球 IP,抓取任何网站的数据。

无与伦比的数据质量

先进的技术和验证方法确保高质量数据。

强大的基础设施

抓取大量数据而不被封锁。

定制化解决方案

获取量身定制的解决方案,以满足独特的需求和目标。

Bright Data 深受全球顶级品牌信赖

我们通过安全、可扩展且灵活的数据管理,助力企业增长。

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Perplexity 抓取 API 常见问题

Perplexity 抓取 API 是一款功能强大的工具,旨在自动化从 Perplexity 网站提取数据,帮助用户高效收集并处理大量数据,用于各种应用场景。

Perplexity 抓取 API 通过向 Perplexity 网站发送自动化请求,获取必要的数据点,并将它们以结构化的格式输出。此过程可确保数据采集的准确性与高效率。

通过 Perplexity 抓取 API 能收集的数据包括:产品 ID、URL、产品名称、评论 ID、评论 URL、评论标题、评论评分、作者公司名称等更多信息。

是的,Perplexity 抓取 API 旨在遵循包括 GDPR 和 CCPA 在内的数据保护法规,保证所有数据采集活动合规且合乎道德。

当然可以!Perplexity 抓取 API 非常适合竞争分析,让您了解与 Perplexity 相关的竞争对手活动、趋势及策略。

Perplexity 抓取 API 与各种平台和工具都能顺畅集成。您可以将其与现有的数据管道、CRM 系统或分析工具结合使用,以提升数据处理能力。

Perplexity 抓取 API 并没有特定的使用限制,您可按需灵活扩展。价格起步为每条记录 0.001 美元,能以具成本效益的方式扩大您的网络爬取项目规模。

是的,我们为 Perplexity 抓取 API 提供专属支持服务。我们的支持团队 24/7 随时待命,为您在使用 API 的过程中解答疑问或解决问题。

Amazon S3、Google Cloud Storage、Google PubSub、Microsoft Azure Storage、Snowflake 以及 SFTP。

JSON、NDJSON、JSON lines、CSV,以及 .gz(压缩)文件。