Yes. The Free tier is 600 requests a month at 100 requests a minute, across every endpoint in the catalogue, with no credit card. Nothing about it expires.

What happens when I hit the quota?

Requests return 429 with the limit, what you have used, and which window you tripped — nothing is queued, and nothing is charged. The monthly quota resets on the 1st (UTC). There is no rollover: unused requests do not carry into the next month.

Do failed requests use up my quota?

A 5xx does not. If a source breaks on our side, the request is excluded from your monthly count. A 4xx does count — a wrong parameter is still a request we answered. Per-minute throttling counts everything, so a retry loop is still throttled.

Which tier do I need?

Start on Free. Every response carries the remaining quota in its headers, and the dashboard reads the same number enforcement uses, so you will see the ceiling coming rather than discovering it.

How is Zapi different from RapidAPI or Apify?

Zapi focuses on a consistent REST contract — one API key, one response format, one error pattern for every source. No need to learn per-provider quirks like on traditional marketplaces, and no need to set up scraping workflows like on Apify.

What about the legality of accessing public data?

Zapi only accesses data that is publicly available without a login. Responsibility for how it is ultimately used stays with the developer — make sure your use case complies with the original source's ToS and the regulations in your operating region.

Is there an official SDK?

One: zpi-sdk, for TypeScript and JavaScript. It carries a typed error hierarchy, retries only what is safe to retry, submits bulk jobs, and verifies webhook signatures. Everything else is plain REST — cURL or any HTTP client works.

Can I request a source that isn’t in the catalogue yet?

Yes, through the community Discord, on any tier.

Google Scholar

Pencarian publikasi ilmiah Google Scholar + profil author (sitasi, h-index, daftar publikasi).

2 endpoints247 calls2/2 passing

Get API key

Cari Publikasi

Cari publikasi ilmiah di Google Scholar (filter tahun, bahasa, paten, sitasi).

GET/v1/research:google-scholar/search

passing · 2.0s1h cache

Parameters

Name	Type	In	Description
query	string	query	Academic search keyword. Supports operators like author:, source:, intitle:. Required.
page	number	query	Page number (10 results per page). Default 1.
yearFrom	number	query	Only include results published from this year.
yearTo	number	query	Only include results published up to this year.
language	string	query	Interface language code (hl=). Default en.
patents	enum	query	Include patents in results. Default true. One of true, false.
citations	enum	query	Include citation-only (no fulltext) entries. Default true. One of true, false.

Example response

{"project":"research:google-scholar",  "data": {"page":1,"count":10,"query":"transformer neural network","hasMore":true,"perPage":10,    "results": [      {"link":"https://homes.esat.kuleuven.be/~konijn/publications/2021/Liu2.pdf","type":"PDF","year":2021,"title":"Transformer in convolutional neural networks","venue":"arXiv preprint arXiv","pdfUrl":"https://homes.esat.kuleuven.be/~konijn/publications/2021/Liu2.pdf",        "authors": [          "Y Liu",          "G Sun",          "Y Qiu"        ],"snippet":"… of totally abandoning them as done in recent transformer works [16–20], we aim at introducing a generic framework that could inherit the advantages of both CNNs and transformers …","resultId":"Xhupwy48-swJ","versions":0,"publisher":"homes.esat.kuleuven.be","citedByUrl":"https://scholar.google.com/scholar?cites=14770184099463764830&as_sdt=2005&sciodt=0,5&hl=en","relatedUrl":"https://scholar.google.com/scholar?q=related:Xhupwy48-swJ:scholar.google.com/&scioq=transformer+neural+network&hl=en&as_sdt=0,5","citedByCount":112,        "authorProfiles": [          {"name":"Y Liu","authorId":"UB3doCoAAAAJ"          },          {"name":"G Sun","authorId":"qd8Blw0AAAAJ"          },          {"name":"L Zhang","authorId":"61LOyWUAAAAJ"          }        ],"publicationInfo":"Y Liu , G Sun , Y Qiu, L Zhang … - arXiv preprint arXiv …, 2021 - homes.esat.kuleuven.be"      },      {"link":"https://arxiv.org/abs/1907.05572","type":"PDF","year":2019,"title":"R- transformer : Recurrent neural network enhanced transformer","venue":"arXiv preprint arXiv","pdfUrl":"https://arxiv.org/pdf/1907.05572",        "authors": [          "Z Wang",          "Y Ma",          "Z Liu"        ],"snippet":"… Unlike previously proposed Transformer -like models, R- Transformer in this work leverages the strength of RNN and is able model the local structures effectively without the need…","resultId":"9jQQcRuE-5gJ","versions":4,"publisher":"arxiv.org","citedByUrl":"https://scholar.google.com/scholar?cites=11023549766315291894&as_sdt=2005&sciodt=0,5&hl=en","relatedUrl":"https://scholar.google.com/scholar?q=related:9jQQcRuE-5gJ:scholar.google.com/&scioq=transformer+neural+network&hl=en&as_sdt=0,5","citedByCount":180,        "authorProfiles": [          {"name":"Z Wang","authorId":"nvNEalYAAAAJ"          },          {"name":"Y Ma","authorId":"wf9TTOIAAAAJ"          },          {"name":"Z Liu","authorId":"rRTzNm0AAAAJ"          }        ],"publicationInfo":"Z Wang , Y Ma , Z Liu , J Tang - arXiv preprint arXiv:1907.05572, 2019 - arxiv.org"      },      {"link":"https://www.sciencedirect.com/science/article/pii/S136481522200281X","type":"","year":2023,"title":"Transformer neural networks for interpretable flood forecasting","venue":"… Modelling & Software","pdfUrl":"",        "authors": [          "M Castangia",          "LMM Grajales",          "A Aliberti"        ],"snippet":"… the applicability of the Transformer neural network to the task … that the Transformer outperforms recurrent neural networks by … Furthermore, the Transformer requires lower comp…","resultId":"eaSqVjEELZcJ","versions":5,"publisher":"Elsevier","citedByUrl":"https://scholar.google.com/scholar?cites=10893367683633030265&as_sdt=2005&sciodt=0,5&hl=en","relatedUrl":"https://scholar.google.com/scholar?q=related:eaSqVjEELZcJ:scholar.google.com/&scioq=transformer+neural+network&hl=en&as_sdt=0,5","citedByCount":178,        "authorProfiles": [          {"name":"M Castangia","authorId":"RulBKsMAAAAJ"          },          {"name":"A Aliberti","authorId":"A_EadKUAAAAJ"          },          {"name":"C Rossi","authorId":"Wwyz_joAAAAJ"          }        ],"publicationInfo":"M Castangia , LMM Grajales, A Aliberti , C Rossi … - … Modelling & Software, 2023 - Elsevier"      }    ],"nextPage":2,"didYouMean":null,"totalResults":null  },"timestamp":"2026-06-13T13:41:04Z"}

Errors

401Missing or invalid x-api-key
404Not found or private
429Rate limit or monthly quota reached

Profil Author

Profil author Google Scholar — metrik sitasi, h-index, i10, dan daftar publikasi.

GET/v1/research:google-scholar/author

passing · 1.7s1h cache

Parameters

Name	Type	In	Description
userId	string	query	Author profile ID (the `user` param from a profile URL; also returned as `authorProfiles[].authorId` by the search endpoint). Required.
page	number	query	Publications page (100 per page). Default 1.
sortBy	enum	query	Sort publications by citation count or year. Default cited. One of cited, year.
language	string	query	Interface language (hl=). Default en.

Example response

{"project":"research:google-scholar",  "data": {"name":"Yun Liu","page":1,"photo":null,"userId":"UB3doCoAAAAJ","hasMore":false,    "metrics": {"hIndexAll":43,"i10IndexAll":60,"citationsAll":12299,"hIndexRecent":41,"i10IndexRecent":58,"citationsRecent":10871    },"perPage":100,    "interests": [      "Computer Vision"    ],"affiliation":"Professor of Computer Science, Nankai University","emailDomain":"nankai.edu.cn",    "publications": [      {"url":"https://scholar.google.com/citations?view_op=view_citation&hl=en&user=UB3doCoAAAAJ&pagesize=100&citation_for_view=UB3doCoAAAAJ:l7t_Zn2s7bgC","year":2017,"title":"Structure-measure: A New Way to Evaluate Foreground Maps","venue":"IEEE International Conference on Computer Vision","authors":"DP Fan, MM Cheng, Y Liu, T Li, A Borji","citationId":"UB3doCoAAAAJ:l7t_Zn2s7bgC","citedByCount":2486      },      {"url":"https://scholar.google.com/citations?view_op=view_citation&hl=en&user=UB3doCoAAAAJ&pagesize=100&citation_for_view=UB3doCoAAAAJ:dQ2og3OwTAUC","year":2019,"title":"Richer Convolutional Features for Edge Detection","venue":"IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE CVPR 2017)","authors":"Y Liu, MM Cheng, X Hu, JW Bian, L Zhang, X Bai, J Tang","citationId":"UB3doCoAAAAJ:dQ2og3OwTAUC","citedByCount":1638      },      {"url":"https://scholar.google.com/citations?view_op=view_citation&hl=en&user=UB3doCoAAAAJ&pagesize=100&citation_for_view=UB3doCoAAAAJ:GtLg2Ama23sC","year":2020,"title":"MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation","venue":"IEEE Transactions on Pattern Analysis and Machine Intelligence","authors":"S Li, YA Farha, Y Liu, MM Cheng, J Gall","citationId":"UB3doCoAAAAJ:GtLg2Ama23sC","citedByCount":1251      },      {"url":"https://scholar.google.com/citations?view_op=view_citation&hl=en&user=UB3doCoAAAAJ&pagesize=100&citation_for_view=UB3doCoAAAAJ:W5xh706n7nkC","year":2020,"title":"GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence","venue":"International Journal of Computer Vision","authors":"JW Bian, WY Lin, Y Liu, L Zhang, SK Yeung, MM Cheng, I Reid","citationId":"UB3doCoAAAAJ:W5xh706n7nkC","citedByCount":962      },      {"url":"https://scholar.google.com/citations?view_op=view_citation&hl=en&user=UB3doCoAAAAJ&pagesize=100&citation_for_view=UB3doCoAAAAJ:e_rmSamDkqQC","year":2022,"title":"P2T: Pyramid Pooling Transformer for Scene Understanding","venue":"IEEE Transactions on Pattern Analysis and Machine Intelligence","authors":"YH Wu#, Y Liu#, X Zhan, MM Cheng","citationId":"UB3doCoAAAAJ:e_rmSamDkqQC","citedByCount":406      },      {"url":"https://scholar.google.com/citations?view_op=view_citation&hl=en&user=UB3doCoAAAAJ&pagesize=100&citation_for_view=UB3doCoAAAAJ:zLWjf1WUPmwC","year":2022,"title":"EDN: Salient Object Detection via Extremely-Downsampled Network","venue":"IEEE Transactions on Image Processing","authors":"YH Wu#, Y Liu#, L Zhang, MM Cheng, B Ren","citationId":"UB3doCoAAAAJ:zLWjf1WUPmwC","citedByCount":349      },      {"url":"https://scholar.google.com/citations?view_op=view_citation&hl=en&user=UB3doCoAAAAJ&pagesize=100&citation_for_view=UB3doCoAAAAJ:VOx2b1Wkg3QC","year":2018,"title":"Crowd Counting With Deep Negative Correlation Learning","venue":"IEEE Conference on Computer Vision and Pattern Recognition","authors":"Z Shi, L Zhang, Y Liu, X Cao, Y Ye, MM Cheng, G Zheng","citationId":"UB3doCoAAAAJ:VOx2b1Wkg3QC","citedByCount":326      },      {"url":"https://scholar.google.com/citations?view_op=view_citation&hl=en&user=UB3doCoAAAAJ&pagesize=100&citation_for_view=UB3doCoAAAAJ:Ug5p-4gJ2f0C","year":2023,"title":"LSDIR Dataset: A Large Scale Dataset for Image Restoration","venue":"IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1775-1787","authors":"Y Li, K Zhang, J Liang, J Cao, C Liu, R Gong, Y Zhang, H Tang, Y Liu, ...","citationId":"UB3doCoAAAAJ:Ug5p-4gJ2f0C","citedByCount":307      }    ],"publicationCount":90  },"timestamp":"2026-06-13T13:41:04Z"}

Errors

401Missing or invalid x-api-key
404Not found or private
429Rate limit or monthly quota reached

Try it

Live request with your key

const data = await client.run(  "research:google-scholar",  "search",  { query: "transformer neural network", page: 1, yearFrom: 2018, yearTo: 2024, language: "en", patents: "true", citations: "true" });

Google Scholar

Pencarian publikasi ilmiah Google Scholar + profil author (sitasi, h-index, daftar publikasi).

2 endpoints247 calls2/2 passing

Get API key

Cari publikasi ilmiah di Google Scholar (filter tahun, bahasa, paten, sitasi).

GET/v1/…google-scholar/search

passing · 2.0s1h cache

Try it

Parameters

query

string · query · required

Academic search keyword. Supports operators like author:, source:, intitle:.

page

number · query · optional

Page number (10 results per page). Default 1.

yearFrom

number · query · optional

Only include results published from this year.

yearTo

number · query · optional

Only include results published up to this year.

language

string · query · optional

Interface language code (hl=). Default en.

patents

enum · query · optional

Include patents in results. Default true.

citations

enum · query · optional

Include citation-only (no fulltext) entries. Default true.

Example response

{"project":"research:google-scholar",  "data": {"page":1,"count":10,"query":"transformer neural network","hasMore":true,"perPage":10,    "results": [      {"link":"https://homes.esat.kuleuven.be/~konijn/publications/2021/Liu2.pdf","type":"PDF","year":2021,"title":"Transformer in convolutional neural networks","venue":"arXiv preprint arXiv","pdfUrl":"https://homes.esat.kuleuven.be/~konijn/publications/2021/Liu2.pdf",        "authors": [          "Y Liu",          "G Sun",          "Y Qiu"        ],"snippet":"… of totally abandoning them as done in recent transformer works [16–20], we aim at introducing a generic framework that could inherit the advantages of both CNNs and transformers …","resultId":"Xhupwy48-swJ","versions":0,"publisher":"homes.esat.kuleuven.be","citedByUrl":"https://scholar.google.com/scholar?cites=14770184099463764830&as_sdt=2005&sciodt=0,5&hl=en","relatedUrl":"https://scholar.google.com/scholar?q=related:Xhupwy48-swJ:scholar.google.com/&scioq=transformer+neural+network&hl=en&as_sdt=0,5","citedByCount":112,        "authorProfiles": [          {"name":"Y Liu","authorId":"UB3doCoAAAAJ"          },          {"name":"G Sun","authorId":"qd8Blw0AAAAJ"          },          {"name":"L Zhang","authorId":"61LOyWUAAAAJ"          }        ],"publicationInfo":"Y Liu , G Sun , Y Qiu, L Zhang … - arXiv preprint arXiv …, 2021 - homes.esat.kuleuven.be"      },      {"link":"https://arxiv.org/abs/1907.05572","type":"PDF","year":2019,"title":"R- transformer : Recurrent neural network enhanced transformer","venue":"arXiv preprint arXiv","pdfUrl":"https://arxiv.org/pdf/1907.05572",        "authors": [          "Z Wang",          "Y Ma",          "Z Liu"        ],"snippet":"… Unlike previously proposed Transformer -like models, R- Transformer in this work leverages the strength of RNN and is able model the local structures effectively without the need…","resultId":"9jQQcRuE-5gJ","versions":4,"publisher":"arxiv.org","citedByUrl":"https://scholar.google.com/scholar?cites=11023549766315291894&as_sdt=2005&sciodt=0,5&hl=en","relatedUrl":"https://scholar.google.com/scholar?q=related:9jQQcRuE-5gJ:scholar.google.com/&scioq=transformer+neural+network&hl=en&as_sdt=0,5","citedByCount":180,        "authorProfiles": [          {"name":"Z Wang","authorId":"nvNEalYAAAAJ"          },          {"name":"Y Ma","authorId":"wf9TTOIAAAAJ"          },          {"name":"Z Liu","authorId":"rRTzNm0AAAAJ"          }        ],"publicationInfo":"Z Wang , Y Ma , Z Liu , J Tang - arXiv preprint arXiv:1907.05572, 2019 - arxiv.org"      },      {"link":"https://www.sciencedirect.com/science/article/pii/S136481522200281X","type":"","year":2023,"title":"Transformer neural networks for interpretable flood forecasting","venue":"… Modelling & Software","pdfUrl":"",        "authors": [          "M Castangia",          "LMM Grajales",          "A Aliberti"        ],"snippet":"… the applicability of the Transformer neural network to the task … that the Transformer outperforms recurrent neural networks by … Furthermore, the Transformer requires lower comp…","resultId":"eaSqVjEELZcJ","versions":5,"publisher":"Elsevier","citedByUrl":"https://scholar.google.com/scholar?cites=10893367683633030265&as_sdt=2005&sciodt=0,5&hl=en","relatedUrl":"https://scholar.google.com/scholar?q=related:eaSqVjEELZcJ:scholar.google.com/&scioq=transformer+neural+network&hl=en&as_sdt=0,5","citedByCount":178,        "authorProfiles": [          {"name":"M Castangia","authorId":"RulBKsMAAAAJ"          },          {"name":"A Aliberti","authorId":"A_EadKUAAAAJ"          },          {"name":"C Rossi","authorId":"Wwyz_joAAAAJ"          }        ],"publicationInfo":"M Castangia , LMM Grajales, A Aliberti , C Rossi … - … Modelling & Software, 2023 - Elsevier"      }    ],"nextPage":2,"didYouMean":null,"totalResults":null  },"timestamp":"2026-06-13T13:41:04Z"}

Errors

401Missing or invalid x-api-key
404Not found or private
429Rate limit or monthly quota reached

Code

const data = await client.run(  "research:google-scholar",  "search",  { query: "transformer neural network", page: 1, yearFrom: 2018, yearTo: 2024, language: "en", patents: "true", citations: "true" });