Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
fields: list<item: string>
child 0, item: string
rowCount: int64
dataType: string
isSample: bool
productId: string
platform: string
vendor: string
retrievedAt: timestamp[s]
tags: list<item: string>
child 0, item: string
success: bool
productType: string
shopUrl: string
price: double
productUrl: string
available: bool
title: string
handle: string
disclaimer: string
sku: string
imageUrl: string
compareAtPrice: double
to
{'isSample': Value('bool'), 'dataType': Value('string'), 'disclaimer': Value('string'), 'success': Value('bool'), 'platform': Value('string'), 'shopUrl': Value('string'), 'title': Value('string'), 'handle': Value('string'), 'productId': Value('string'), 'productUrl': Value('string'), 'vendor': Value('string'), 'productType': Value('string'), 'price': Value('float64'), 'compareAtPrice': Value('float64'), 'sku': Value('string'), 'available': Value('bool'), 'imageUrl': Value('string'), 'tags': List(Value('string')), 'retrievedAt': Value('timestamp[s]')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
fields: list<item: string>
child 0, item: string
rowCount: int64
dataType: string
isSample: bool
productId: string
platform: string
vendor: string
retrievedAt: timestamp[s]
tags: list<item: string>
child 0, item: string
success: bool
productType: string
shopUrl: string
price: double
productUrl: string
available: bool
title: string
handle: string
disclaimer: string
sku: string
imageUrl: string
compareAtPrice: double
to
{'isSample': Value('bool'), 'dataType': Value('string'), 'disclaimer': Value('string'), 'success': Value('bool'), 'platform': Value('string'), 'shopUrl': Value('string'), 'title': Value('string'), 'handle': Value('string'), 'productId': Value('string'), 'productUrl': Value('string'), 'vendor': Value('string'), 'productType': Value('string'), 'price': Value('float64'), 'compareAtPrice': Value('float64'), 'sku': Value('string'), 'available': Value('bool'), 'imageUrl': Value('string'), 'tags': List(Value('string')), 'retrievedAt': Value('timestamp[s]')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Shopify + WooCommerce DTC Catalog — SAMPLE Dataset
Org: nimbliquestudio
Brand: NimbliqueStudio · Apify Actors via Zentra Foundry
SAMPLE / FIXTURE schema-aligned to the public Actor output. Not a paid production scrape.
Buy / run (buyer-ready — 3 links)
| # | Asset | Buyable URL |
|---|---|---|
| 1 | Shopify Task (primary) | https://apify.com/zentrafoundry/shopify-woocommerce-dtc-catalog-intelligence/examples/shopify-dtc-catalog-products-export |
| 2 | Shopify Actor | https://apify.com/zentrafoundry/shopify-woocommerce-dtc-catalog-intelligence |
| 3 | Gumroad sample pack $9 | https://zentrafoundry.gumroad.com/l/jlastp |
Never use a homepage alone — always link a Task/Actor/Gumroad product URL.
Data files
sample.csvsample.jsonl
Schema (high level)
platform, shopUrl, title, handle, productId, productUrl, vendor, productType, price, compareAtPrice, sku, available, imageUrl, tags, plus isSample labels.
How to get live data
Run the Apify Task/Actor (pay-per-event). Do not treat this HF dataset as marketplace truth.
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