Granular Tik Tok Shop Marketplace Data
# | timestamp |
product_id |
seller_id |
title |
category |
currency |
min_price |
median_price |
max_price |
discount |
original_price |
product_sold_count |
product_review_count |
product_url |
product_rating |
revenue |
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx |
2 | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx |
3 | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx |
4 | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx |
5 | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx |
6 | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx |
7 | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx |
8 | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx |
9 | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx |
10 | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx |
... | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx |
# | timestamp |
seller_id |
user_id |
shop_name |
username |
sold_count |
product_count |
review_count |
shop_rating |
product_satisfaction_rating |
shipping_rating |
customer_service_rating |
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx |
2 | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx |
3 | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx |
4 | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx |
5 | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx |
6 | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx |
7 | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx |
8 | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx |
9 | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx |
10 | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx |
... | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx |
# | timestamp |
product_id |
dfo |
late_dispatch |
negative_review |
seller_fault_cancellation |
mtl |
product_click |
product_order_cvr |
review |
negative_reviewdebias |
negative_reviewmain |
rank_score |
combine_score |
dfo_multiplier |
dfo_pred |
late_dispatch_pred |
negative_review_debias_pred |
negative_review_main_pred |
negative_review_pred |
pctr |
pcvr |
price |
review_star_score |
root |
rough_sort_pred_product_click |
rough_sort_pred_product_order_cvr |
seller_fault_cancellation_pred |
sort_boost_weight |
topn_score |
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx |
2 | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx |
3 | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx |
4 | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx |
5 | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx |
6 | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx |
7 | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx |
8 | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx |
9 | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx |
10 | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx |
... | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx |
# | timestamp |
product_id |
sku_id |
review_id |
review_timestamp |
sku_specification |
rating |
display_text |
is_owner |
is_anonymous |
|
---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx |
2 | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx |
3 | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx |
4 | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx |
5 | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx |
6 | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx |
7 | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx |
8 | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx |
9 | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx |
10 | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx |
... | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
timestamp
|
Integer | 1690759904 | |
String | TH | Country Code Alpha-2 | |
product_id
|
Integer | 1729591843365161132 | |
seller_id
|
Integer | 7494929952979912876 | |
title
|
String | เซต PSC สบู่หน้าเงา 2ก้อน+เจลแก้มใส 1กระปุก | |
category
|
String | ความงามและของใช้ส่วนตัว | |
currency
|
String | THB | |
min_price
|
Float | 260.0 | |
median_price
|
Float | 546.0 | |
max_price
|
Float | 1072.5 | |
discount
|
String | Save up to 35% | |
original_price
|
String | ฿400.00 - 1,650.00 | |
product_sold_count
|
Integer | 0 | |
product_review_count
|
Integer | 0 | |
product_url
|
String | https://www.tiktok.com/view/product/1729591843365161132 | |
product_rating
|
Float | 0.0 | |
revenue
|
Float | 0.0 |
Attribute | Type | Example | Mapping |
---|---|---|---|
timestamp
|
Integer | 1690759951 | |
String | TH | Country Code Alpha-2 | |
seller_id
|
Integer | 7494538288828287136 | |
user_id
|
Integer | 6968386762319627266 | |
shop_name
|
String | RACHI.MAIN | |
username
|
String | rachi_main | |
sold_count
|
Integer | 4819 | |
product_count
|
Integer | 26 | |
review_count
|
Integer | 9336 | |
shop_rating
|
Float | 4.7 | |
product_satisfaction_rating
|
Float | 0.0 | |
shipping_rating
|
Float | 0.0 | |
customer_service_rating
|
Float | 0.0 |
Attribute | Type | Example | Mapping |
---|---|---|---|
timestamp
|
Integer | 1691753581 | |
String | TH | Country Code Alpha-2 | |
product_id
|
Integer | 1729453056949193673 | |
dfo
|
Float | 0.00021064773318357766 | |
late_dispatch
|
Float | 0.00021064773318357766 | |
negative_review
|
Float | 0.0 | |
seller_fault_cancellation
|
Float | 7.482496584998444e-05 | |
mtl
|
Float | 0.015018853358924389 | |
product_click
|
Float | 0.015018853358924389 | |
product_order_cvr
|
Float | 0.002634583041071892 | |
review
|
Float | 0.0 | |
negative_reviewdebias
|
Float | 0.0 | |
negative_reviewmain
|
Float | 0.0 | |
rank_score
|
Float | 0.019150353968143463 | |
combine_score
|
Float | 0.019804941325760633 | |
dfo_multiplier
|
Float | 0.0 | |
dfo_pred
|
Float | 0.0033051721533411183 | |
late_dispatch_pred
|
Float | 0.00021064773318357766 | |
negative_review_debias_pred
|
Float | 0.0 | |
negative_review_main_pred
|
Float | 0.0 | |
negative_review_pred
|
Float | 0.0 | |
pctr
|
Float | 0.015018853358924389 | |
pcvr
|
Float | 0.002634583041071892 | |
price
|
Float | 2.8229258060455322 | |
review_star_score
|
Float | 0.0 | |
root
|
Float | 0.019150353920076045 | |
rough_sort_pred_product_click
|
Float | 0.023113131523132324 | |
rough_sort_pred_product_order_cvr
|
Float | 0.0017881989479064941 | |
seller_fault_cancellation_pred
|
Float | 7.482496584998444e-05 | |
sort_boost_weight
|
Float | 1.0 | |
topn_score
|
Float | 0.0 |
Attribute | Type | Example | Mapping |
---|---|---|---|
timestamp
|
Integer | 1689072373 | |
String | ID | Country Code Alpha-2 | |
product_id
|
Integer | 1729504582989286248 | |
sku_id
|
Integer | 1729504596032588648 | |
review_id
|
Integer | 7245249077095548677 | |
review_timestamp
|
Integer | 1686916009495 | |
sku_specification
|
String | Item: cream, M | |
rating
|
Integer | 5 | |
display_text
|
String | The product gets a 5-star rating from the customer. | |
is_owner
|
Integer | 0 | |
is_anonymous
|
Integer | 0 |
Attribute | Type | Example | Mapping |
---|---|---|---|
product_sold_count
|
Integer | 5 | |
pctr
|
Decimal | 0.23254 | |
shop_rating
|
Decimal | 4.6 | |
rank_score
|
Decimal | 0.254563 |
Description
Country Coverage
History
Volume
460,000 | sellers |
32.5 million | products |
Pricing
License | Starts at |
---|---|
One-off purchase |
$999,999 / purchase |
Monthly License | Not available |
Yearly License | Not available |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Granular Tik Tok Shop Marketplace Data?
Reliable granular data on TikTok Shop Marketplace. 99% coverage of all sellers on the platform. Dataset is updated daily to maintain coverage. Covers all 6 regions of SEA that TikTok Shop operates in.
What is Granular Tik Tok Shop Marketplace Data used for?
This product has 5 key use cases. DataScrapa recommends using the data for Retail, Ecommerce Analysis, Ecommerce Intelligence, Ecommerce Data Enrichment, and ecommerce. Global businesses and organizations buy Ecommerce Data from DataScrapa to fuel their analytics and enrichment.
Who can use Granular Tik Tok Shop Marketplace Data?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Ecommerce Data. Get in touch with DataScrapa to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Granular Tik Tok Shop Marketplace Data go?
This product has 2 months of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, yearly, and on-demand basis.
Which countries does Granular Tik Tok Shop Marketplace Data cover?
This product includes data covering 6 countries like Indonesia, Thailand, Singapore, Malaysia, and Philippines. DataScrapa is headquartered in United Kingdom.
How much does Granular Tik Tok Shop Marketplace Data cost?
Pricing for Granular Tik Tok Shop Marketplace Data starts at USD999,999 per purchase. Connect with DataScrapa to get a quote and arrange custom pricing models based on your data requirements.
How can I get Granular Tik Tok Shop Marketplace Data?
Businesses can buy Ecommerce Data from DataScrapa and get the data via S3 Bucket, SFTP, Email, UI Export, REST API, SOAP API, Streaming API, and Feed API. Depending on your data requirements and subscription budget, DataScrapa can deliver this product in .bin, .json, .xml, .csv, .xls, .sql, and .txt format.
What is the data quality of Granular Tik Tok Shop Marketplace Data?
DataScrapa has reported that this product has the following quality and accuracy assurances: 100% accuracy, 99% coverage. You can compare and assess the data quality of DataScrapa using Datarade’s data marketplace.
What are similar products to Granular Tik Tok Shop Marketplace Data?
This product has 3 related products. These alternatives include Walmart Data Ecommerce Data Ecommerce Product Data Walmart API Walmart Product Datasets Easy to Integrate 50% Cost Saving Free Sample, Grepsr Nordstrom Store Address, Contact Information, Rating Global Coverage with Custom and On-demand Datasets, and Accurate Append Verified US Ecommerce Leads Data 900M+ Consumer Emails, Landline & Mobile Phone Append Location/Demographics/Interests Data. You can compare the best Ecommerce Data providers and products via Datarade’s data marketplace and get the right data for your use case.