Custom Dataset API

This update allows for a more granular and streamlined way to request and manage your data collections, facilitating more effective dataset generation according to your specific needs.

Understanding When to Use Each API:

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Initial Collection Without Customer-Defined View:

The 3 primary API endpoints serve distinct purposes in the data collection workflow, facilitating a structured and efficient process in obtaining tailored datasets.

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Requesting a Collection:

Endpoint: POST https://api.brightdata.com/datasets/request_collection

Parameters:

curl "https://api.brightdata.com/datasets/request_collection?dataset_id=gd_l1viktl72bvl7bjuj0&type=discover_new" -H "Authorization: Bearer API_TOKEN" -H "Content-Type: application/json" -k -d '[{"id":"user-id"}]'

Processing may take several minutes, based on the number of inputs. When you request to discover (‘discover_new’), finding all links (PDPs) may take time.

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Checking Status of the Collection Above:

Endpoint: GET https://api.brightdata.com/datasets/request_collection

Parameters:

curl -k "https://api.brightdata.com/datasets/request_collection?request_id=REQUEST_ID&freshness_ms=2592000000" -H "Authorization: Bearer API_TOKEN" 

Response Indicating Nmber of Records and Freshness Found:

{
    "dataset_id": request_job.dataset_id,
    "total_lines": 100,
    "fresh_count": 30,
    "name": "linkedin_companies custom input",
    "status": "done",
    "request_id": "XXXX",
}

The request is still running:

{
    "total_lines": 100,
    "status": "running",
}

Issue with one (or more) inputs: in this case the url was sent as URL

{
    "request_id": "xxxx",  
    "error": "Validation failed",
    "error_code": "validation",
    "validation_errors": [
        {
            "line": "{\"URL\":\"https://www.tiktok.com/search?q=tjd\"}",
            "index": 1,
            "errors": [
                ["url", "Required field"]
            ]
        }
    ]
}

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Initiating a Collection:

Endpoint: POST https://api.brightdata.com/datasets/initiate_collection Parameters:

curl -X POST -k "https://api.brightdata.com/datasets/initiate_collection" -d '{"request_id":"j_ln2x567b2961de0d1x","freshness_ms":2592000000}' -H "Authorization: Bearer API_TOKEN" -H "content-type: application/json"

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Collection After Defining a View:

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Initiating a Collection:

Endpoint: POST https://api.brightdata.com/datasets/initiate

Parameters:

curl "https://api.brightdata.com/datasets/initiate?dataset_id=XXX_DATASET_ID&type=url_collection&view=XXX_VIEW_ID" -H "Authorization: Bearer API_TOKEN" -H "Content-Type: application/json" -k -d '[{"id":"user-id"}]'

Dataset will be delivered to the setting configured for this view.

By leveraging these enhanced capabilities, users can now tailor their data collection processes more efficiently, ensuring that the datasets generated are aligned with their project requirements.

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How to retrieve results of snapshot that was already collected

curl "https://api.brightdata.com/datasets/snapshot/snapshot_id/download" -H "Authorization: Bearer API_TOKEN"