This notebook shows examples of how to use SearchApi to search the web. Go to [https://www.searchapi.io/](https://www.searchapi.io/) to sign up for a free account and get API key.

```
'Barack Hussein Obama II'
```

```
> Entering new AgentExecutor chain... Yes.Follow up: How old was Plato when he died?Intermediate answer: eightyFollow up: How old was Socrates when he died?Intermediate answer: | Socrates | | -------- | | Born | c. 470 BC Deme Alopece, Athens | | Died | 399 BC (aged approximately 71) Athens | | Cause of death | Execution by forced suicide by poisoning | | Spouse(s) | Xanthippe, Myrto | Follow up: How old was Aristotle when he died?Intermediate answer: 62 yearsSo the final answer is: Plato> Finished chain.
```

SearchApi wrapper can be customized to use different engines like [Google News](https://www.searchapi.io/docs/google-news), [Google Jobs](https://www.searchapi.io/docs/google-jobs), [Google Scholar](https://www.searchapi.io/docs/google-scholar), or others which can be found in [SearchApi](https://www.searchapi.io/docs/google) documentation. All parameters supported by SearchApi can be passed when executing the query.

```
'Azure AI Engineer Be an XpanderCandidatar-meCandidatar-meCandidatar-me\n\nShare:\n\nAzure AI Engineer\n\nA área Digital Xperience da Xpand IT é uma equipa tecnológica de rápido crescimento que se concentra em tecnologias Microsoft e Mobile. A sua principal missão é fornecer soluções de software de alta qualidade que atendam às necessidades do utilizador final, num mundo tecnológico continuamente exigente e em ritmo acelerado, proporcionando a melhor experiência em termos de personalização, performance'
```

```
{'search_metadata': {'id': 'search_qVdXG2jzvrlqTzayeYoaOb8A',                     'status': 'Success',                     'created_at': '2023-09-25T15:22:30Z',                     'request_time_taken': 3.21,                     'parsing_time_taken': 0.03,                     'total_time_taken': 3.24,                     'request_url': 'https://scholar.google.com/scholar?q=Large+Language+Models&hl=en',                     'html_url': 'https://www.searchapi.io/api/v1/searches/search_qVdXG2jzvrlqTzayeYoaOb8A.html',                     'json_url': 'https://www.searchapi.io/api/v1/searches/search_qVdXG2jzvrlqTzayeYoaOb8A'}, 'search_parameters': {'engine': 'google_scholar',                       'q': 'Large Language Models',                       'hl': 'en'}, 'search_information': {'query_displayed': 'Large Language Models',                        'total_results': 6420000,                        'page': 1,                        'time_taken_displayed': 0.06}, 'organic_results': [{'position': 1,                      'title': 'ChatGPT for good? On opportunities and '                               'challenges of large language models for '                               'education',                      'data_cid': 'uthwmf2nU3EJ',                      'link': 'https://www.sciencedirect.com/science/article/pii/S1041608023000195',                      'publication': 'E Kasneci, K Seßler, S Küchemann, M '                                     'Bannert… - Learning and individual …, '                                     '2023 - Elsevier',                      'snippet': '… state of large language models and their '                                 'applications. We then highlight how these '                                 'models can be … With regard to challenges, '                                 'we argue that large language models in '                                 'education require …',                      'inline_links': {'cited_by': {'cites_id': '8166055256995715258',                                                    'total': 410,                                                    'link': 'https://scholar.google.com/scholar?cites=8166055256995715258&as_sdt=5,33&sciodt=0,33&hl=en'},                                       'versions': {'cluster_id': '8166055256995715258',                                                    'total': 10,                                                    'link': 'https://scholar.google.com/scholar?cluster=8166055256995715258&hl=en&as_sdt=0,33'},                                       'related_articles_link': 'https://scholar.google.com/scholar?q=related:uthwmf2nU3EJ:scholar.google.com/&scioq=Large+Language+Models&hl=en&as_sdt=0,33'},                      'resource': {'name': 'edarxiv.org',                                   'format': 'PDF',                                   'link': 'https://edarxiv.org/5er8f/download?format=pdf'},                      'authors': [{'name': 'E Kasneci',                                   'id': 'bZVkVvoAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=bZVkVvoAAAAJ&hl=en&oi=sra'},                                  {'name': 'K Seßler',                                   'id': 'MbMBoN4AAAAJ',                                   'link': 'https://scholar.google.com/citations?user=MbMBoN4AAAAJ&hl=en&oi=sra'},                                  {'name': 'S Küchemann',                                   'id': 'g1jX5QUAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=g1jX5QUAAAAJ&hl=en&oi=sra'},                                  {'name': 'M Bannert',                                   'id': 'TjfQ8QkAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=TjfQ8QkAAAAJ&hl=en&oi=sra'}]},                     {'position': 2,                      'title': 'Large language models in medicine',                      'data_cid': 'Ph9AwHTmhzAJ',                      'link': 'https://www.nature.com/articles/s41591-023-02448-8',                      'publication': 'AJ Thirunavukarasu, DSJ Ting, K '                                     'Elangovan… - Nature medicine, 2023 - '                                     'nature.com',                      'snippet': '… HuggingChat offers a free-to-access '                                 'chatbot with a similar interface to ChatGPT '                                 'but uses Large Language Model Meta AI '                                 '(LLaMA) as its backend model 30 . Finally, '                                 'cheap imitations of …',                      'inline_links': {'cited_by': {'cites_id': '3497017024792502078',                                                    'total': 25,                                                    'link': 'https://scholar.google.com/scholar?cites=3497017024792502078&as_sdt=5,33&sciodt=0,33&hl=en'},                                       'versions': {'cluster_id': '3497017024792502078',                                                    'total': 3,                                                    'link': 'https://scholar.google.com/scholar?cluster=3497017024792502078&hl=en&as_sdt=0,33'}},                      'authors': [{'name': 'AJ Thirunavukarasu',                                   'id': '3qb1AYwAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=3qb1AYwAAAAJ&hl=en&oi=sra'},                                  {'name': 'DSJ Ting',                                   'id': 'KbrpC8cAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=KbrpC8cAAAAJ&hl=en&oi=sra'},                                  {'name': 'K Elangovan',                                   'id': 'BE_lVTQAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=BE_lVTQAAAAJ&hl=en&oi=sra'}]},                     {'position': 3,                      'title': 'Extracting training data from large language '                               'models',                      'data_cid': 'mEYsWK6bWKoJ',                      'link': 'https://www.usenix.org/conference/usenixsecurity21/presentation/carlini-extracting',                      'publication': 'N Carlini, F Tramer, E Wallace, M '                                     'Jagielski… - 30th USENIX Security …, '                                     '2021 - usenix.org',                      'snippet': '… language model trained on scrapes of the '                                 'public Internet, and are able to extract '                                 'hundreds of verbatim text sequences from the '                                 'model’… models are more vulnerable than '                                 'smaller models. …',                      'inline_links': {'cited_by': {'cites_id': '12274731957504198296',                                                    'total': 742,                                                    'link': 'https://scholar.google.com/scholar?cites=12274731957504198296&as_sdt=5,33&sciodt=0,33&hl=en'},                                       'versions': {'cluster_id': '12274731957504198296',                                                    'total': 8,                                                    'link': 'https://scholar.google.com/scholar?cluster=12274731957504198296&hl=en&as_sdt=0,33'},                                       'related_articles_link': 'https://scholar.google.com/scholar?q=related:mEYsWK6bWKoJ:scholar.google.com/&scioq=Large+Language+Models&hl=en&as_sdt=0,33',                                       'cached_page_link': 'https://scholar.googleusercontent.com/scholar?q=cache:mEYsWK6bWKoJ:scholar.google.com/+Large+Language+Models&hl=en&as_sdt=0,33'},                      'resource': {'name': 'usenix.org',                                   'format': 'PDF',                                   'link': 'https://www.usenix.org/system/files/sec21-carlini-extracting.pdf'},                      'authors': [{'name': 'N Carlini',                                   'id': 'q4qDvAoAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=q4qDvAoAAAAJ&hl=en&oi=sra'},                                  {'name': 'F Tramer',                                   'id': 'ijH0-a8AAAAJ',                                   'link': 'https://scholar.google.com/citations?user=ijH0-a8AAAAJ&hl=en&oi=sra'},                                  {'name': 'E Wallace',                                   'id': 'SgST3LkAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=SgST3LkAAAAJ&hl=en&oi=sra'},                                  {'name': 'M Jagielski',                                   'id': '_8rw_GMAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=_8rw_GMAAAAJ&hl=en&oi=sra'}]},                     {'position': 4,                      'title': 'Emergent abilities of large language models',                      'data_cid': 'hG0iVOrOguoJ',                      'link': 'https://arxiv.org/abs/2206.07682',                      'publication': 'J Wei, Y Tay, R Bommasani, C Raffel, B '                                     'Zoph… - arXiv preprint arXiv …, 2022 - '                                     'arxiv.org',                      'snippet': 'Scaling up language models has been shown to '                                 'predictably improve performance and sample '                                 'efficiency on a wide range of downstream '                                 'tasks. This paper instead discusses an …',                      'inline_links': {'cited_by': {'cites_id': '16898296257676733828',                                                    'total': 621,                                                    'link': 'https://scholar.google.com/scholar?cites=16898296257676733828&as_sdt=5,33&sciodt=0,33&hl=en'},                                       'versions': {'cluster_id': '16898296257676733828',                                                    'total': 12,                                                    'link': 'https://scholar.google.com/scholar?cluster=16898296257676733828&hl=en&as_sdt=0,33'},                                       'related_articles_link': 'https://scholar.google.com/scholar?q=related:hG0iVOrOguoJ:scholar.google.com/&scioq=Large+Language+Models&hl=en&as_sdt=0,33',                                       'cached_page_link': 'https://scholar.googleusercontent.com/scholar?q=cache:hG0iVOrOguoJ:scholar.google.com/+Large+Language+Models&hl=en&as_sdt=0,33'},                      'resource': {'name': 'arxiv.org',                                   'format': 'PDF',                                   'link': 'https://arxiv.org/pdf/2206.07682.pdf?trk=cndc-detail'},                      'authors': [{'name': 'J Wei',                                   'id': 'wA5TK_0AAAAJ',                                   'link': 'https://scholar.google.com/citations?user=wA5TK_0AAAAJ&hl=en&oi=sra'},                                  {'name': 'Y Tay',                                   'id': 'VBclY_cAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=VBclY_cAAAAJ&hl=en&oi=sra'},                                  {'name': 'R Bommasani',                                   'id': 'WMBXw1EAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=WMBXw1EAAAAJ&hl=en&oi=sra'},                                  {'name': 'C Raffel',                                   'id': 'I66ZBYwAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=I66ZBYwAAAAJ&hl=en&oi=sra'},                                  {'name': 'B Zoph',                                   'id': 'NL_7iTwAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=NL_7iTwAAAAJ&hl=en&oi=sra'}]},                     {'position': 5,                      'title': 'A survey on evaluation of large language '                               'models',                      'data_cid': 'ZYohnzOz-XgJ',                      'link': 'https://arxiv.org/abs/2307.03109',                      'publication': 'Y Chang, X Wang, J Wang, Y Wu, K Zhu… - '                                     'arXiv preprint arXiv …, 2023 - arxiv.org',                      'snippet': '… 3.1 Natural Language Processing Tasks … '                                 'the development of language models, '                                 'particularly large language models, was to '                                 'enhance performance on natural language '                                 'processing tasks, …',                      'inline_links': {'cited_by': {'cites_id': '8717195588046785125',                                                    'total': 31,                                                    'link': 'https://scholar.google.com/scholar?cites=8717195588046785125&as_sdt=5,33&sciodt=0,33&hl=en'},                                       'versions': {'cluster_id': '8717195588046785125',                                                    'total': 3,                                                    'link': 'https://scholar.google.com/scholar?cluster=8717195588046785125&hl=en&as_sdt=0,33'},                                       'cached_page_link': 'https://scholar.googleusercontent.com/scholar?q=cache:ZYohnzOz-XgJ:scholar.google.com/+Large+Language+Models&hl=en&as_sdt=0,33'},                      'resource': {'name': 'arxiv.org',                                   'format': 'PDF',                                   'link': 'https://arxiv.org/pdf/2307.03109'},                      'authors': [{'name': 'X Wang',                                   'id': 'Q7Ieos8AAAAJ',                                   'link': 'https://scholar.google.com/citations?user=Q7Ieos8AAAAJ&hl=en&oi=sra'},                                  {'name': 'J Wang',                                   'id': 'YomxTXQAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=YomxTXQAAAAJ&hl=en&oi=sra'},                                  {'name': 'Y Wu',                                   'id': 'KVeRu2QAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=KVeRu2QAAAAJ&hl=en&oi=sra'},                                  {'name': 'K Zhu',                                   'id': 'g75dFLYAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=g75dFLYAAAAJ&hl=en&oi=sra'}]},                     {'position': 6,                      'title': 'Evaluating large language models trained on '                               'code',                      'data_cid': '3tNvW3l5nU4J',                      'link': 'https://arxiv.org/abs/2107.03374',                      'publication': 'M Chen, J Tworek, H Jun, Q Yuan, HPO '                                     'Pinto… - arXiv preprint arXiv …, 2021 - '                                     'arxiv.org',                      'snippet': '… We introduce Codex, a GPT language model '                                 'finetuned on publicly available code from '                                 'GitHub, and study its Python code-writing '                                 'capabilities. A distinct production version '                                 'of Codex …',                      'inline_links': {'cited_by': {'cites_id': '5664817468434011102',                                                    'total': 941,                                                    'link': 'https://scholar.google.com/scholar?cites=5664817468434011102&as_sdt=5,33&sciodt=0,33&hl=en'},                                       'versions': {'cluster_id': '5664817468434011102',                                                    'total': 2,                                                    'link': 'https://scholar.google.com/scholar?cluster=5664817468434011102&hl=en&as_sdt=0,33'},                                       'related_articles_link': 'https://scholar.google.com/scholar?q=related:3tNvW3l5nU4J:scholar.google.com/&scioq=Large+Language+Models&hl=en&as_sdt=0,33',                                       'cached_page_link': 'https://scholar.googleusercontent.com/scholar?q=cache:3tNvW3l5nU4J:scholar.google.com/+Large+Language+Models&hl=en&as_sdt=0,33'},                      'resource': {'name': 'arxiv.org',                                   'format': 'PDF',                                   'link': 'https://arxiv.org/pdf/2107.03374.pdf?trk=public_post_comment-text'},                      'authors': [{'name': 'M Chen',                                   'id': '5fU-QMwAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=5fU-QMwAAAAJ&hl=en&oi=sra'},                                  {'name': 'J Tworek',                                   'id': 'ZPuESCQAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=ZPuESCQAAAAJ&hl=en&oi=sra'},                                  {'name': 'Q Yuan',                                   'id': 'B059m2EAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=B059m2EAAAAJ&hl=en&oi=sra'}]},                     {'position': 7,                      'title': 'Large language models in machine translation',                      'data_cid': 'sY5m_Y3-0Y4J',                      'link': 'http://research.google/pubs/pub33278.pdf',                      'publication': 'T Brants, AC Popat, P Xu, FJ Och, J Dean '                                     '- 2007 - research.google',                      'snippet': '… the benefits of largescale statistical '                                 'language modeling in ma… trillion tokens, '                                 'resulting in language models having up to '                                 '300 … is inexpensive to train on large data '                                 'sets and approaches the …',                      'type': 'PDF',                      'inline_links': {'cited_by': {'cites_id': '10291286509313494705',                                                    'total': 737,                                                    'link': 'https://scholar.google.com/scholar?cites=10291286509313494705&as_sdt=5,33&sciodt=0,33&hl=en'},                                       'versions': {'cluster_id': '10291286509313494705',                                                    'total': 31,                                                    'link': 'https://scholar.google.com/scholar?cluster=10291286509313494705&hl=en&as_sdt=0,33'},                                       'related_articles_link': 'https://scholar.google.com/scholar?q=related:sY5m_Y3-0Y4J:scholar.google.com/&scioq=Large+Language+Models&hl=en&as_sdt=0,33',                                       'cached_page_link': 'https://scholar.googleusercontent.com/scholar?q=cache:sY5m_Y3-0Y4J:scholar.google.com/+Large+Language+Models&hl=en&as_sdt=0,33'},                      'resource': {'name': 'research.google',                                   'format': 'PDF',                                   'link': 'http://research.google/pubs/pub33278.pdf'},                      'authors': [{'name': 'FJ Och',                                   'id': 'ITGdg6oAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=ITGdg6oAAAAJ&hl=en&oi=sra'},                                  {'name': 'J Dean',                                   'id': 'NMS69lQAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=NMS69lQAAAAJ&hl=en&oi=sra'}]},                     {'position': 8,                      'title': 'A watermark for large language models',                      'data_cid': 'BlSyLHT4iiEJ',                      'link': 'https://arxiv.org/abs/2301.10226',                      'publication': 'J Kirchenbauer, J Geiping, Y Wen, J '                                     'Katz… - arXiv preprint arXiv …, 2023 - '                                     'arxiv.org',                      'snippet': '… To derive this watermark, we examine what '                                 'happens in the language model just before it '                                 'produces a probability vector. The last '                                 'layer of the language model outputs a vector '                                 'of logits l(t). …',                      'inline_links': {'cited_by': {'cites_id': '2417017327887471622',                                                    'total': 104,                                                    'link': 'https://scholar.google.com/scholar?cites=2417017327887471622&as_sdt=5,33&sciodt=0,33&hl=en'},                                       'versions': {'cluster_id': '2417017327887471622',                                                    'total': 4,                                                    'link': 'https://scholar.google.com/scholar?cluster=2417017327887471622&hl=en&as_sdt=0,33'},                                       'related_articles_link': 'https://scholar.google.com/scholar?q=related:BlSyLHT4iiEJ:scholar.google.com/&scioq=Large+Language+Models&hl=en&as_sdt=0,33',                                       'cached_page_link': 'https://scholar.googleusercontent.com/scholar?q=cache:BlSyLHT4iiEJ:scholar.google.com/+Large+Language+Models&hl=en&as_sdt=0,33'},                      'resource': {'name': 'arxiv.org',                                   'format': 'PDF',                                   'link': 'https://arxiv.org/pdf/2301.10226.pdf?curius=1419'},                      'authors': [{'name': 'J Kirchenbauer',                                   'id': '48GJrbsAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=48GJrbsAAAAJ&hl=en&oi=sra'},                                  {'name': 'J Geiping',                                   'id': '206vNCEAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=206vNCEAAAAJ&hl=en&oi=sra'},                                  {'name': 'Y Wen',                                   'id': 'oUYfjg0AAAAJ',                                   'link': 'https://scholar.google.com/citations?user=oUYfjg0AAAAJ&hl=en&oi=sra'},                                  {'name': 'J Katz',                                   'id': 'yPw4WjoAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=yPw4WjoAAAAJ&hl=en&oi=sra'}]},                     {'position': 9,                      'title': 'ChatGPT and other large language models are '                               'double-edged swords',                      'data_cid': 'So0q8TRvxhYJ',                      'link': 'https://pubs.rsna.org/doi/full/10.1148/radiol.230163',                      'publication': 'Y Shen, L Heacock, J Elias, KD Hentel, B '                                     'Reig, G Shih… - Radiology, 2023 - '                                     'pubs.rsna.org',                      'snippet': '… Large Language Models (LLMs) are deep '                                 'learning models trained to understand and '                                 'generate natural language. Recent studies '                                 'demonstrated that LLMs achieve great success '                                 'in a …',                      'inline_links': {'cited_by': {'cites_id': '1641121387398204746',                                                    'total': 231,                                                    'link': 'https://scholar.google.com/scholar?cites=1641121387398204746&as_sdt=5,33&sciodt=0,33&hl=en'},                                       'versions': {'cluster_id': '1641121387398204746',                                                    'total': 3,                                                    'link': 'https://scholar.google.com/scholar?cluster=1641121387398204746&hl=en&as_sdt=0,33'},                                       'related_articles_link': 'https://scholar.google.com/scholar?q=related:So0q8TRvxhYJ:scholar.google.com/&scioq=Large+Language+Models&hl=en&as_sdt=0,33'},                      'authors': [{'name': 'Y Shen',                                   'id': 'XaeN2zgAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=XaeN2zgAAAAJ&hl=en&oi=sra'},                                  {'name': 'L Heacock',                                   'id': 'tYYM5IkAAAAJ',                                   'link': 'https://scholar.google.com/citations?user=tYYM5IkAAAAJ&hl=en&oi=sra'}]},                     {'position': 10,                      'title': 'Pythia: A suite for analyzing large language '                               'models across training and scaling',                      'data_cid': 'aaIDvsMAD8QJ',                      'link': 'https://proceedings.mlr.press/v202/biderman23a.html',                      'publication': 'S Biderman, H Schoelkopf… - '                                     'International …, 2023 - '                                     'proceedings.mlr.press',                      'snippet': '… large language models, we prioritize '                                 'consistency in model … out the most '                                 'performance from each model. For example, we '                                 '… models, as it is becoming widely used for '                                 'the largest models, …',                      'inline_links': {'cited_by': {'cites_id': '14127511396791067241',                                                    'total': 89,                                                    'link': 'https://scholar.google.com/scholar?cites=14127511396791067241&as_sdt=5,33&sciodt=0,33&hl=en'},                                       'versions': {'cluster_id': '14127511396791067241',                                                    'total': 3,                                                    'link': 'https://scholar.google.com/scholar?cluster=14127511396791067241&hl=en&as_sdt=0,33'},                                       'related_articles_link': 'https://scholar.google.com/scholar?q=related:aaIDvsMAD8QJ:scholar.google.com/&scioq=Large+Language+Models&hl=en&as_sdt=0,33',                                       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