Import HTML data

How to import HTML data and sample import formats.

πŸ“˜

Supported file formats and import methods

Format: HTML
Import methods:

  • IAM Delegated Access
  • Signed URLs (https URLs only)

Parameters

Import methods:

  • IAM Delegated Access
  • Signed URLs (https URLs only)
ParameterRequiredDescription
row_dataYeshttps path to an HTML file.
For IAM Delegated Access, this URL must be in virtual-hosted-style format. For older regions, your S3 bucket may be in thehttps://<bucket-name>.s3.<region>.amazonaws.com/<key> format. If your object URLs are formatted this way, make sure they are in the virtual-hosted-style format before importing.
global_keyNoUnique user-generated file name or ID for the file. Global keys are enforced to be unique in your org. Data rows will not be imported if its global keys are duplicated to existing data rows.
media_typeNo"HTML" (optional media type to provide better validation and error messaging)
metadata_fieldsNoSee Metadata.
attachmentsNoSee Attachments and Asset overlays,

Import format

[
  {
    "row_data": "https://lb-test-data.s3.us-west-1.amazonaws.com/sample_html_1.html",
    "global_key": "https://lb-test-data.s3.us-west-1.amazonaws.com/sample_html_1.html",
    "metadata_fields": [{"name": "<metadata_field_name>", "value": "tag_string"}],
    "attachments": [{"type": "HTML", "value": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/windy.html" }]
  },
  {
    "row_data": "https://lb-test-data.s3.us-west-1.amazonaws.com/sample_html_2.html",
    "global_key": "https://lb-test-data.s3.us-west-1.amazonaws.com/sample_html_2.html",
    "metadata_fields": [{"name": "<metadata_field_name>", "value": "tag_string"}],
    "attachments": [{"type": "TEXT_URL", "value": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/text_attachment.txt"}]
  }
]
[
  {
    "row_data": "https://storage.googleapis.com/labelbox-datasets/html_sample_data/sample_html_1.html",
    "global_key": "https://storage.googleapis.com/labelbox-datasets/html_sample_data/sample_html_1.html",
    "metadata_fields": [{"schema_id": "cko8s9r5v0001h2dk9elqdidh", "value": "tag_string"}],
    "attachments": [{"type": "HTML", "value": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/windy.html" }]
  },
  {
    "row_data": "https://storage.googleapis.com/labelbox-datasets/html_sample_data/sample_html_2.html",
    "global_key": "https://storage.googleapis.com/labelbox-datasets/html_sample_data/sample_html_2.html",
    "metadata_fields": [{"schema_id": "cko8s9r5v0001h2dk9elqdidh", "value": "tag_string"}],
    "attachments": [{"type": "TEXT_URL", "value": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/text_attachment.txt"}]
  }
]
<html>
  <head>
    <title>HTML File Example</title>
  </head>
<body bgcolor="ffffff">

<center><img src="https://labelbox.com/static/images/logo-v4.svg" align="bottom">

<hr>

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</center>
<hr>

</body>

</html>

Python example

from labelbox import Client
from uuid import uuid4 ## to generate unique IDs
import datetime 

client = Client(api_key="<YOUR_API_KEY>")

dataset = client.create_dataset(name="Bulk import example - HTML")

assets = [
  {
    "row_data": "https://storage.googleapis.com/labelbox-datasets/html_sample_data/sample_html_1.html",
    "global_key": "https://storage.googleapis.com/labelbox-datasets/html_sample_data/sample_html_1.html",
    "metadata_fields": [{"name": "<metadata_field_name>", "value": "tag_string"}],
    "attachments": [{"type": "HTML", "value": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/windy.html" }]
  },
  {
    "row_data": "https://storage.googleapis.com/labelbox-datasets/html_sample_data/sample_html_2.html",
    "global_key": "https://storage.googleapis.com/labelbox-datasets/html_sample_data/sample_html_2.html",
    "metadata_fields": [{"name": "<metadata_field_name>", "value": "tag_string"}],
    "attachments": [{"type": "TEXT_URL", "value": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/text_attachment.txt"}]
  }
]

task = dataset.create_data_rows(assets)
task.wait_till_done()
print(task.errors)