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organic 字段结构说明

organic 是一个数组,表示自然搜索结果区域,每一项为一个搜索结果条目,包含网页标题、摘要、来源、链接等信息。(少部分图片不能触发)

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字段名类型说明
idString搜索结果的唯一标识符
rankInteger结果排名(从 1 开始)
titleString论文或文章标题
linkString指向论文详情页的 URL
display_linkString展示用的元数据(通常包含作者、来源、年份等汇总信息)
sourceString来源网站域名或数据库名称
publication_infoString完整的出版详情信息
authorsString作者列表
yearInteger发表年份
snippetString内容摘要文本
pdf_linkStringPDF 下载链接(可选,部分结果可能没有)
html_urlStringHTML 页面链接(可选,部分结果可能没有)
cited_byInteger被引用次数
versionsInteger该论文的其他版本数量

测试用例

bash
curl --location 'https://api.serp.hk/serp/google/lens/advanced' \
--header 'Authorization: Bearer xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx' \
--header 'Content-Type: application/json' \
--data '{
        "hl": "zh-cn", 
        "url": "https://www.shutterstock.com/image-photo/potala-palace-summer-lhasa-tibet-260nw-518790361.jpg"
}' --compressed

返回结果

json
[
  {
    "id": "0qfs6zbVakoJ",
    "rank": 1,
    "title": "Deep learning",
    "link": "https://www.nature.com/articles/nature14539",
    "display_link": "Y LeCun, Y Bengio, G Hinton  - nature, 2015 - nature.com",
    "source": "nature.com",
    "publication_info": "Y LeCun, Y Bengio, G Hinton  - nature, 2015 - nature.com",
    "authors": "Y LeCun, Y Bengio, G Hinton  - nature, 2015",
    "year": 2015,
    "snippet": "… Deep learning allows computational models that are composed of multiple processing layers to learn … Deep learning discovers intricate structure in large data sets by using the …",
    "pdf_link": "https://hal.science/hal-04206682/document",
    "cited_by": 111615,
    "versions": 85
  },
  {
    "id": "MHq4MMenr-gJ",
    "rank": 2,
    "title": "Deep learning",
    "link": "https://synapse.koreamed.org/pdf/10.4258/hir.2016.22.4.351",
    "display_link": "I Goodfellow, Y Bengio, A Courville, Y Bengio - 2016 - synapse.koreamed.org",
    "source": "synapse.koreamed.org",
    "publication_info": "I Goodfellow, Y Bengio, A Courville, Y Bengio - 2016 - synapse.koreamed.org",
    "authors": "I Goodfellow, Y Bengio, A Courville, Y Bengio",
    "year": 2016,
    "snippet": "Kwang Gi Kim https://doi. org/10.4258/hir. 2016.22. 4.351 ing those who are beginning their careers in deep learning and artificial intelligence research. The other target audience …",
    "pdf_link": "https://synapse.koreamed.org/pdf/10.4258/hir.2016.22.4.351",
    "cited_by": 94151,
    "versions": 30
  },
  {
    "id": "6ZPEi3CJiiUJ",
    "rank": 3,
    "title": "Deep learning",
    "link": "https://www.academia.edu/download/62266271/Deep_Learning20200303-80130-1s42zvt.pdf",
    "display_link": "Y Bengio, I Goodfellow, A Courville - 2017 - academia.edu",
    "source": "academia.edu",
    "publication_info": "Y Bengio, I Goodfellow, A Courville - 2017 - academia.edu",
    "authors": "Y Bengio, I Goodfellow, A Courville",
    "year": 2017,
    "snippet": "… The idea of learning the right representation for the data provides one perspective on deep learning. Another perspective on deep learning is that it allows the computer to learn a multi-…",
    "pdf_link": "https://www.academia.edu/download/62266271/Deep_Learning20200303-80130-1s42zvt.pdf",
    "cited_by": 2879,
    "versions": 4
  },
  {
    "id": "VK7xPyl_ZR0J",
    "rank": 4,
    "title": "Deep learning",
    "link": "https://books.google.com/books?hl=en&lr=&id=b06qDwAAQBAJ&oi=fnd&pg=PR7&dq=Deep+Learning&ots=_pGZUKgVXQ&sig=XZZC_QWdrHjv0LiggA1gJEwjoCQ",
    "display_link": "JD Kelleher - 2019 - books.google.com",
    "source": "books.google.com",
    "publication_info": "JD Kelleher - 2019 - books.google.com",
    "authors": "JD Kelleher",
    "year": 2019,
    "snippet": "… a deep learning system… deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning …",
    "cited_by": 869,
    "versions": 5
  },
  {
    "id": "iPZeWThU1H8J",
    "rank": 5,
    "title": "Deep learning",
    "link": "https://www.nature.com/articles/nmeth.3707",
    "display_link": "N Rusk - Nature Methods, 2016 - nature.com",
    "source": "nature.com",
    "publication_info": "N Rusk - Nature Methods, 2016 - nature.com",
    "authors": "N Rusk - Nature Methods, 2016",
    "year": 2016,
    "snippet": "… Deep learning does not depend on prior data processing and automatically extracts features. To use a simple example, a deep neural network tasked with interpreting shapes …",
    "cited_by": 428,
    "versions": 5
  },
  {
    "id": "IL7Ql8vemMoJ",
    "rank": 6,
    "title": "Deep learning techniques: an overview",
    "link": "https://link.springer.com/chapter/10.1007/978-981-15-3383-9_54",
    "display_link": "A Mathew, P Amudha, S Sivakumari  - … on advanced machine learning  …, 2020 - Springer",
    "source": "link.springer.com",
    "publication_info": "A Mathew, P Amudha, S Sivakumari  - … on advanced machine learning  …, 2020 - Springer",
    "authors": "A Mathew, P Amudha, S Sivakumari  - … on advanced machine learning  …, 2020",
    "year": 2020,
    "snippet": "… of deep learning, various approaches to deep learning, architectures of deep learning, … the performance of traditional machine learning algorithms and deep learning algorithms [6]…",
    "pdf_link": "https://www.researchgate.net/profile/Munish-Sabharwal/publication/341652471_An_Assessment_Study_of_Gait_Biometric_Recognition_Using_Machine_Learning/links/5f16d04ba6fdcc9626a438ec/An-Assessment-Study-of-Gait-Biometric-Recognition-Using-Machine-Learning.pdf#page=584",
    "cited_by": 710,
    "versions": 4
  },
  {
    "id": "P3vCNmtVdp4J",
    "rank": 7,
    "title": "Deep learning",
    "link": "https://link.springer.com/chapter/10.1007/978-981-95-1184-6_16",
    "display_link": "B Chen, S Chen - Machine Vision Technology, 2026 - Springer",
    "source": "link.springer.com",
    "publication_info": "B Chen, S Chen - Machine Vision Technology, 2026 - Springer",
    "authors": "B Chen, S Chen - Machine Vision Technology, 2026",
    "year": 2026,
    "snippet": "… deep learning, contrasting shallow models such as support vector machines and boosting with deep architectures that learn … The “ deep ” in deep learning represents this layered system. …",
    "pdf_link": "https://pdfs.semanticscholar.org/0729/79b5af1ab7fc4c16a780abebacb5d0e43d12.pdf",
    "cited_by": 1210,
    "versions": 6
  },
  {
    "id": "s9Kbb94saVEJ",
    "rank": 8,
    "title": "A review of machine learning and deep learning applications",
    "link": "https://ieeexplore.ieee.org/abstract/document/8697857/",
    "display_link": "PP Shinde, S Shah  - 2018 Fourth international conference on …, 2018 - ieeexplore.ieee.org",
    "source": "ieeexplore.ieee.org",
    "publication_info": "PP Shinde, S Shah  - 2018 Fourth international conference on …, 2018 - ieeexplore.ieee.org",
    "authors": "PP Shinde, S Shah  - 2018 Fourth international conference on …, 2018",
    "year": 2018,
    "snippet": "… So far few applications of deep learning … deep learning. A review of these past and future application domains, sub-domains, and applications of machine learning and deep learning …",
    "cited_by": 1524,
    "versions": 3
  },
  {
    "id": "AuotyInCgE4J",
    "rank": 9,
    "title": "Deep learning",
    "link": "http://www.scholarpedia.org/article/Deep_Learning",
    "display_link": "J Schmidhuber  - Scholarpedia, 2015 - scholarpedia.org",
    "source": "scholarpedia.org",
    "publication_info": "J Schmidhuber  - Scholarpedia, 2015 - scholarpedia.org",
    "authors": "J Schmidhuber  - Scholarpedia, 2015",
    "year": 2015,
    "snippet": "…, may learn to solve problems of potentially unlimited depth, for example, by learning to store in … Some NNs can quickly learn to solve certain deep but simple problems through random …",
    "html_url": "http://www.scholarpedia.org/article/Deep_Learning",
    "cited_by": 256,
    "versions": 4
  },
  {
    "id": "japPSnLK4jwJ",
    "rank": 10,
    "title": "Deep learning",
    "link": "https://www.worldscientific.com/doi/abs/10.1142/S1793351X16500045",
    "display_link": "X Hao, G Zhang, S Ma - International Journal of Semantic …, 2016 - World Scientific",
    "source": "worldscientific.com",
    "publication_info": "X Hao, G Zhang, S Ma - International Journal of Semantic …, 2016 - World Scientific",
    "authors": "X Hao, G Zhang, S Ma - International Journal of Semantic …, 2016",
    "year": 2016,
    "snippet": "Deep learning is a branch of machine learning that tries to model high-level abstractions of data … This paper provides an overview of deep learning in neural networks including popular …",
    "pdf_link": "https://www.academia.edu/download/62046595/2019_Book_EEGSignalProcessingAndFeatureE20200209-88259-6zld91.pdf#page=326",
    "cited_by": 436,
    "versions": 8
  }
]