Install
openclaw skills install dataify-amazon-global-productUse for Dataify Amazon global product collection Builder tasks. Trigger when the user says or asks for Amazon 全球产品详情采集工具, Amazon global product collection tool, Amazon global product details collection tool, Amazon global product collection, Amazon global product scraping, Amazon global product harvesting, or Amazon global product crawling, especially with product URL, category URL, keyword, keyword brand, brand, or similar Amazon global product task keywords. Supports creating Amazon global product tasks by product URL, category URL, keyword, or keyword and brand; returning the task_id; configuring or reusing the DATAIFY_API_TOKEN environment variable; and troubleshooting Dataify Builder request failures.
openclaw skills install dataify-amazon-global-productSubmit Amazon global product collection jobs through Dataify Builder, then stop. After a successful submission, give the user the task_id and tell them to visit https://dataify.com/dashboard/ to view results.
This skill covers four Amazon global product collection modes:
| Mode | Use for | Builder spider_id |
|---|---|---|
product-url | Collect global Amazon product details by product URL. | amazon_global-product_by-url |
category-url | Collect global Amazon product details from a category URL. | amazon_global-product_by-category-url |
keyword | Collect global Amazon product details from a keyword search. | amazon_global-product_by-keywords |
keyword-brand | Collect global Amazon product details from a keyword and brand filter. | amazon_global-product_by-keywords-brand |
Use DATAIFY_API_TOKEN as the long-term saved token name.
DATAIFY_API_TOKEN is already saved locally in the environment.DATAIFY_API_TOKEN is saved locally, use it.API TOKEN in user-facing instructions. Prefer the environment variable name DATAIFY_API_TOKEN for saved local use.PowerShell examples for saving the token for the current session:
$env:DATAIFY_API_TOKEN = "YOUR_DATAIFY_API_TOKEN"
For a persistent user-level variable on Windows:
[Environment]::SetEnvironmentVariable("DATAIFY_API_TOKEN", "YOUR_DATAIFY_API_TOKEN", "User")
product-url, category-url, keyword, or keyword-brand.DATAIFY_API_TOKEN.data.task_id from the Builder response.https://dataify.com/dashboard/ to view or manage results.If the user has already provided some values, show those values in place of the defaults and only ask whether the remaining/defaulted values should be changed.
| Field | Required | Default | Notes |
|---|---|---|---|
url | Yes | https://www.amazon.com/dp/B0CHHSFMRL/ | Amazon product URL. |
file_name | No | {{TasksID}} | Builder form field. Can be changed by the user. |
Submit spider_parameters as an array with one object, for example [{"url":"https://www.amazon.com/dp/B0CHHSFMRL/"}].
| Field | Required | Default | Notes |
|---|---|---|---|
url | Yes | https://www.amazon.com/s?i=luggage-intl-ship | Amazon category URL. |
maximum | Yes | 5 | Integer greater than or equal to 0. |
sort_by | No | Best Sellers | Dropdown-style option. |
get_sponsored | No | true | Dropdown-style option: true or false. |
file_name | No | {{TasksID}} | Builder form field. Can be changed by the user. |
Show all sort_by options as a Markdown table with both Label and Value columns before asking the user to choose.
| Label | Value |
|---|---|
Best Sellers | Best Sellers |
Newest Arrivals | Newest Arrivals |
Avg. Customer Review | Avg. Customer Review |
Price: High to Low | Price: High to Low |
Price: Low to High | Price: Low to High |
Featured | Featured |
Show all get_sponsored options as a Markdown table with both Label and Value columns before asking the user to choose.
| Label | Value |
|---|---|
Include Sponsored Products | true |
Exclude Sponsored Products | false |
Accepted sort_by display values and submitted values:
Best Sellers -> Best SellersNewest Arrivals -> Newest ArrivalsAvg. Customer Review -> Avg. Customer ReviewPrice: High to Low -> Price: High to LowPrice: Low to High -> Price: Low to HighFeatured -> Featured| Field | Required | Default | Notes |
|---|---|---|---|
keyword | Yes | coffee | Amazon search keyword. |
domain | Yes | https://www.amazon.com | Amazon domain. |
lowest_price | No | 20 | Integer greater than or equal to 0. |
highest_price | No | 50 | Integer greater than or equal to 0, and must not be less than lowest_price. |
page_turning | No | 2 | Integer greater than or equal to 0. |
file_name | No | {{TasksID}} | Builder form field. Can be changed by the user. |
Require highest_price >= lowest_price.
| Field | Required | Default | Notes |
|---|---|---|---|
keyword | Yes | shirts | Amazon search keyword. |
brands | Yes | Adidas | Brand filter. |
page_turning | Yes | 2 | Integer greater than or equal to 0. |
file_name | No | {{TasksID}} | Builder form field. Can be changed by the user. |
Use form fields rather than hand-built URL-encoded strings.
POSTBearer DATAIFY_API_TOKENapplication/x-www-form-urlencodedspider_name=amazon.comspider_errors=truespider_id must match the chosen mode.spider_parameters must be a JSON string, not a raw object.file_name defaults to {{TasksID}} and can be changed by the user.file_name as the Builder form field, not as a downloaded output name.Builder URL by mode:
| Mode | URL |
|---|---|
product-url | https://scraperapi.dataify.com/builder |
category-url | https://scraperapi.dataify.com/builder?platform=1 |
keyword | https://scraperapi.dataify.com/builder?platform=1 |
keyword-brand | https://scraperapi.dataify.com/builder?platform=1 |
For stable execution, prefer scripts/submit_amazon_global_product.py with Python 3.6 or newer instead of rewriting the Builder flow. The script writes and reads UTF-8 text.
python3 ".\scripts\submit_amazon_global_product.py" product-url
python3 ".\scripts\submit_amazon_global_product.py" category-url --url "https://www.amazon.com/s?i=luggage-intl-ship" --maximum 5 --sort-by "Best Sellers" --get-sponsored true
python3 ".\scripts\submit_amazon_global_product.py" keyword --keyword "coffee" --domain "https://www.amazon.com"
python3 ".\scripts\submit_amazon_global_product.py" keyword-brand --keyword "shirts" --brands "Adidas" --page-turning 2
If python3 is not available, use the local Python 3 command for that machine, such as python. The script checks the runtime version and tells the user to use Python 3.6 or newer if the active interpreter is too old.
To override the saved environment token or default file name for one run:
python3 ".\scripts\submit_amazon_global_product.py" keyword --api-token "YOUR_DATAIFY_API_TOKEN" --keyword "coffee" --file-name "amazon-global-coffee"
The script prints a JSON summary with task_id, submitted parameters, dashboard_url, and message.
Missing Dataify API TOKEN means no explicit token was passed and DATAIFY_API_TOKEN is not saved locally. Tell the user to get an API TOKEN from Dataify.
URL cannot be empty means no usable URL was provided.
Keyword cannot be empty means no usable keyword was provided.
Brands cannot be empty means no usable brand value was provided.
Domain cannot be empty means no usable domain was provided.
Maximum must be greater than or equal to 0 means the requested maximum count is invalid.
Page turning must be greater than or equal to 0 means the requested page count is invalid.
Lowest price must be greater than or equal to 0 means the requested lowest price is invalid.
Highest price must be greater than or equal to 0 means the requested highest price is invalid.
Highest price cannot be less than lowest price means the price range must be corrected before submission.
Unsupported sort_by means the category sort option must be one of the accepted display values or submitted values.
get_sponsored must be true or false means the sponsored option must be corrected before submission.
File name cannot be empty means no usable file_name was provided.
Necessary parameters is empty! usually means the Builder request was not submitted as form fields, spider_parameters was not a JSON string, or the object is missing required mode parameters.
Missing task_id usually means the authorization header, token, spider_name, or spider_id is wrong.
https://dataify.com/dashboard/ after successful task creation.