SerpApi
| Private | |
| ISIN | 🆔 |
| Industry | |
| Founded 📆 | 2017 |
| Founder 👔 | Julien Khaleghy |
Area served 🗺️ | |
| Services |
|
| Members | |
Number of employees | 36[1] (2025) |
| 🌐 Website | serpapi |
| 📇 Address | |
| 📞 telephone | |
SerpApi is an American software company that provides application programming interfaces (APIs) for programmatic access to search engine results pages (SERPs). Reference works describe SerpApi as a service that returns structured SERP data (for Google and other engines) in JSON for use in dashboards, reporting, and automation.[2] Technical books on large language model (LLM) tooling and agents frequently cite SerpApi as a search tool or integration used with frameworks such as LangChain.[3][4][5]
History
SerpApi was founded in 2017 by Julien Khaleghy in Austin, Texas.[6][7][8]
Overview
Academic and professional proceedings characterize SerpApi as a “comprehensive solution” for accessing search-engine data across major platforms (Google, Bing, Baidu, Yandex), with specialized endpoints and parsing of result elements.[9] Guides on LangChain list SerpApi among standard web-search tools used by agent frameworks.[10][11]
Proceedings and textbooks document the use of SerpApi for collecting Google Images data,[12] retrieving scholarly and news results,[13] and accessing web data in policy research.[14] AI-education and enterprise-automation guides also list SerpApi as a component enabling live search in generative-AI workflows.[15][16]
See also
References
- ↑ "SerpApi: Team and Careers". 2025-10-08. Archived from the original on 2025-10-08.
- ↑ Enge, Eric; Spencer, Stephan; Stricchiola, Jessie (2023). The Art of SEO: Mastering Search Engine Optimization (4th ed.). O’Reilly. ISBN 978-1-0981-0261-6.
SerpApi. This is a programmatic interface to Google and other search engines that enables you to run automated queries and returns SERP data in JSON format.
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- ↑ Fregly, Chris; Barth, Antje; Eigenbrode, Shelbee (2023). Generative AI on AWS. O’Reilly. p. 180. ISBN 978-1-0981-5922-1.
…serpapi (which performs Google searches, among many other actions). Note the use of LangChain’s integration…
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- ↑ Vasilev, Ivan (2023). Python Deep Learning: Understand How Deep Neural Networks Work (3rd ed.). Packt. p. 299. ISBN 978-1838821654.
SerpAPI to perform Google searches. This allows LLM to query Google
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- ↑ Atkinson-Abutridy, John (2024). Large Language Models: Concepts, Techniques and Applications. Springer. ISBN 978-3031571118 Check
|isbn=value: invalid character (help).(serpAPI) and an LLM (by default, a pre-trained GPT model)
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- ↑ "SerpApi Company Profile". Built In Austin.
- ↑ "SerpApi Company Overview". Gregslist Austin.
- ↑ "Meet the Google-Scraping Startup Used by ChatGPT, Cursor and Perplexity". The Information. 8 October 2025. Retrieved 16 October 2025.
- ↑ Bhattacharyya, Siddhartha; Banerjee, Jyoti S.; Köppen, Mario, eds. (2025). Human-Centric Smart Computing: Proceedings of ICHCSC 2024. Springer. p. 425. ISBN 978-9819721271 Check
|isbn=value: checksum (help).SerpApi is a comprehensive solution for accessing search engine results data across major platforms like Google, Yandex, Baidu, and Bing.
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- ↑ Gupta, Mehul (2024). LangChain in Your Pocket: LangChain Essentials. BPB. p. 132. ISBN 9789355519614 Check
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- ↑ Huang, Ken (2025). LLM Design Patterns: A Practical Guide to Building Robust AI Systems. McGraw-Hill. p. 389. ISBN 9781265459767 Check
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- ↑ Mahmud, Mufti; Ieracitano, Cosimo; Kaiser, M. Shamim, eds. (2023). Applied Intelligence and Informatics. Springer. p. 447. ISBN 9783031429877 Check
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- ↑ Bauernhansl, Thomas; Verl, Alexander; Liewald, Mathias, eds. (2023). Production at the Leading Edge of Technology. Springer. p. 523. ISBN 9783031374283 Check
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- ↑ OECD Digital Economy Outlook 2024, Vol. 1. OECD Publishing. 2024. p. 34. ISBN 978-9264494341 Check
|isbn=value: checksum (help).…serpapi.com/google-trends-categories (accessed 19 February 2024).
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- ↑ Olney, Andrew M., ed. (2024). Artificial Intelligence in Education: Posters and Late-Breaking Results. Springer. p. 496. ISBN 9783031618851 Check
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- ↑ Bryant, James; Mukherjee, Aloke (2023). The Future of Finance with ChatGPT and Power BI. Apress. p. 200. ISBN 9781484296257. Search this book on
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