[
{
"id": "huggingface-models-api_1000",
"service": "huggingface-models-api",
"title": "HUGGINGFACE MODELS Record #1",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for huggingface-models-api",
"inputReceived": {
"pipelineTag": "text-generation",
"sort": "downloads",
"searchQuery": "",
"limit": 25
},
"data": {
"index": 1,
"relevanceScore": 0.95,
"summary": "High-fidelity structured response for HUGGINGFACE MODELS query parameter extraction.",
"attributes": {
"region": "Global",
"category": "HUGGINGFACE",
"timestamp": "2026-10-12T10:23:37.104Z"
}
},
"timestamp": "2026-10-12T10:23:37.104Z"
},
{
"id": "huggingface-models-api_1001",
"service": "huggingface-models-api",
"title": "HUGGINGFACE MODELS Record #2",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for huggingface-models-api",
"inputReceived": {
"pipelineTag": "text-generation",
"sort": "downloads",
"searchQuery": "",
"limit": 25
},
"data": {
"index": 2,
"relevanceScore": 0.8999999999999999,
"summary": "High-fidelity structured response for HUGGINGFACE MODELS query parameter extraction.",
"attributes": {
"region": "Global",
"category": "HUGGINGFACE",
"timestamp": "2026-10-12T10:23:37.104Z"
}
},
"timestamp": "2026-10-12T10:23:37.104Z"
},
{
"id": "huggingface-models-api_1002",
"service": "huggingface-models-api",
"title": "HUGGINGFACE MODELS Record #3",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for huggingface-models-api",
"inputReceived": {
"pipelineTag": "text-generation",
"sort": "downloads",
"searchQuery": "",
"limit": 25
},
"data": {
"index": 3,
"relevanceScore": 0.85,
"summary": "High-fidelity structured response for HUGGINGFACE MODELS query parameter extraction.",
"attributes": {
"region": "Global",
"category": "HUGGINGFACE",
"timestamp": "2026-10-12T10:23:37.104Z"
}
},
"timestamp": "2026-10-12T10:23:37.104Z"
},
{
"id": "huggingface-models-api_1003",
"service": "huggingface-models-api",
"title": "HUGGINGFACE MODELS Record #4",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for huggingface-models-api",
"inputReceived": {
"pipelineTag": "text-generation",
"sort": "downloads",
"searchQuery": "",
"limit": 25
},
"data": {
"index": 4,
"relevanceScore": 0.7999999999999999,
"summary": "High-fidelity structured response for HUGGINGFACE MODELS query parameter extraction.",
"attributes": {
"region": "Global",
"category": "HUGGINGFACE",
"timestamp": "2026-10-12T10:23:37.104Z"
}
},
"timestamp": "2026-10-12T10:23:37.104Z"
},
{
"id": "huggingface-models-api_1004",
"service": "huggingface-models-api",
"title": "HUGGINGFACE MODELS Record #5",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for huggingface-models-api",
"inputReceived": {
"pipelineTag": "text-generation",
"sort": "downloads",
"searchQuery": "",
"limit": 25
},
"data": {
"index": 5,
"relevanceScore": 0.75,
"summary": "High-fidelity structured response for HUGGINGFACE MODELS query parameter extraction.",
"attributes": {
"region": "Global",
"category": "HUGGINGFACE",
"timestamp": "2026-10-12T10:23:37.104Z"
}
},
"timestamp": "2026-10-12T10:23:37.104Z"
}
]
curl --location --request POST 'https://zylalabs.com/api/14172/hugging+face+ai+models+datasets+and+spaces+scraper+api/35216/execute+hugging+face+ai+models+datasets+and+spaces+scraper+api' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{"pipelineTag":"text-generation","sort":"downloads","searchQuery":"","limit":25}'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Hugging Face AI Models Datasets and Spaces Scraper API simply include your bearer token in the Authorization header.
| Header | Description |
|---|---|
Authorization
|
Required
Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.
|
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
(Save 2 months with annual billing 🎉)
Extract machine learning models, download metrics, heart counts, pipeline tags (NLP, Vision, Audio), license types, and model card details from Hugging Face.
The endpoint returns detailed metadata about AI models, datasets, and Spaces from Hugging Face. This includes attributes like model architecture, performance metrics, heart counts, pipeline tags (e.g., NLP, Vision, Audio), and license types.
Key fields in the response include "id," "title," "status," "result," "inputReceived," and "data." The "data" field contains attributes such as "relevanceScore," "summary," and "timestamp," providing insights into the model's performance and characteristics.
The returned data is structured as a JSON array, with each entry representing a model or dataset. Each entry contains nested objects for "inputReceived" and "data," allowing for organized access to various attributes and metrics.
The endpoint provides information on model architecture, performance metrics, download counts, heart counts, pipeline tags, license types, and usage examples, facilitating comprehensive analysis of Hugging Face resources.
Users can customize requests by specifying parameters such as "pipelineTag," "sort," "searchQuery," and "limit." This allows for tailored queries to retrieve specific models or datasets based on user-defined criteria.
The response data is organized into a list of objects, each containing metadata about a specific model or dataset. Each object includes fields for identification, status, input parameters, and detailed attributes, making it easy to parse and analyze.
The data is sourced directly from the Hugging Face platform, which aggregates contributions from a wide range of developers and researchers. This ensures a diverse and comprehensive collection of machine learning models and datasets.
Typical use cases include discovering relevant datasets for training machine learning models, fine-tuning existing models, and integrating Hugging Face resources into applications for natural language processing, computer vision, and audio analysis.
To obtain your API key, first sign in to your account and navigate to the API you want to use. From the API's Pricing section, choose a plan and complete the subscription process. Once subscribed, return to the API page and you will see your API Access Key displayed at the top of the documentation page. You can use this key to authenticate your requests.
You can’t switch APIs during the free trial. If you subscribe to a different API, your trial will end and the new subscription will start as a paid plan.
The free trial lasts for 7 days and allows you to make up to 50 API requests.
No, the free trial is available only once, so we recommend using it on the API that interests you the most. Most of our APIs offer a free trial, but some may not include this option.
Yes. If the API offers a free trial, you will see a "Free 7-Day Trial" option in its Pricing section. The trial lasts for 7 days and allows up to 50 API requests, enabling you to evaluate the API before subscribing to a paid plan.
Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.
You can monitor your API usage through the response headers included with every request:
x-zyla-api-calls-monthly-used: Shows the total number of API requests you have used during the current billing period.
x-zyla-api-calls-monthly-remaining: Shows the number of API requests you have remaining for the current billing period.
Yes, you can cancel your subscription at any time. Simply go to the Pricing section of the API you're subscribed to and click the "Unsubscribe" button.
Please note that upgrades, downgrades, and cancellations take effect immediately. Once your subscription is canceled, access to the service will end immediately, regardless of any remaining API calls in your quota.
Please have a look at our Refund Policy: https://zylalabs.com/terms#refund