Bulk download

{
  "filter": [
    {"tier": 3},
    {"interval": "day"},
    {"type": "rental"},
    {"period": "2025-06-02"}
  ],
  "paginate": {"num_per_page": 10, "page_num": 1},
  "order_by": [
    {"period": "desc"}
  ]
}

{
  "meta": {
    "code": 0,
    "url": "/api/data-hub/gpu/archive/list",
    "message": "OK",
    "timestamp": 1748908800
  },
  "data": {
    "total": 1,
    "results": [
      {
        "tier": 3,
        "interval": "day",
        "period": "2025-06-02",
        "type": "rental",
        "csv_s3_path": "s3://bucket/path/to/file.csv",
        "id": "1234567890123456789",
        "sequence_id": 1
      }
    ]
  }
}

{
  "id": 1234567890123456789
}

{
  "meta": {
    "code": 0,
    "url": "/api/data-hub/gpu/archive/download",
    "message": "OK",
    "timestamp": 1748908800
  },
  "data": {
    "csv_download_url": "https://sd-data-archive.s3.amazonaws.com/gpu/2025-03-31.csv?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Expires=3600&X-Amz-Signature=8f3c1b9a2d..."
  }
}

import requests

token = "ENTER YOUR API TOKEN HERE"
headers = {'Authorization': f'Bearer {token}'}
base_url = "https://api.silicondata.com/api/data-hub/gpu/archive"
body = {
    "filter": [
        {"tier": 3},
        {"interval": "day"},
        {"type": "rental"},
        {"period": "2025-06-02"}
    ],
    "paginate": {"num_per_page": 10, "page_num": 1},
    "order_by": [
        {"period": "desc"}
    ]
}
listing_res = requests.post(f"{base_url}/list", json=body, headers=headers).json()
for res in listing_res['data']['results']:
    download_res = requests.post(f"{base_url}/download", json={"id": res['id']}, headers=headers).json()
    csv_download_url = download_res['data']['csv_download_url']
    with open(f"{res['period']}.csv", 'wb') as file:
        file.write(requests.get(csv_download_url).content)