WooCommerce Scraper
Pricing
Pay per usage
WooCommerce Scraper
💫 Scrape WooCommerce websites
4.1 (3)
Pricing
Pay per usage
20
Total users
2K
Monthly users
66
Runs succeeded
63%
Issues response
0.56 hours
Last modified
21 hours ago
📁 Resource
resourceEnumOptional
Value options:
"products": string"categories": string"brands": string"tags": string"attributes": string"reviews": string"pages": string"posts": string"comments": string"post-categories": string"post-tags": string"users": stringSorting
filters.sortEnumOptional
Sort results by attribute
Value options:
"date": string"modified": string"id": string"include": string"title": string"slug": string"price": string"popularity": string"rating": string"menu_order": string"comment_count": stringSKU
filters.skustringOptional
💡 Limit result set to products with specific SKU(s). Use commas to separate.
Tax Class
filters.tax_classEnumOptional
Limit result set to products with a specific tax class.
Value options:
"standard": string"reduced-rate": string"zero-rate": stringProduct Type
filters.product_typeEnumOptional
Products assigned a specific type
Value options:
"simple": string"grouped": string"external": string"variable": string"wbs_bundle": string"variation": stringProduct Status
filters.statusEnumOptional
Value options:
"future": string"trash": string"draft": string"pending": string"private": string"publish": stringStock Status
filters.stockEnumOptional
Value options:
"instock": string"outofstock": string"onbackorder": string🌐 PROXY NETWORKING
dev_proxy_configobjectOptional
💡 Supported protocol:
HTTP(S), SOCKS5{http|socks5}://{user:pass}@{hostname|ip-address}:port
Example: socks5://example.com:9000
♻️ CUSTOM FIELD
dev_transform_fieldsarrayOptional
💡 Transform the resulting output. Select only needed fields.
For nested object use DOT. For example:
address.streetAddress
For nested array use NUMBER (index of array element starting from index=0). For example:
images.0.url
📁 CUSTOM STORAGE
dev_dataset_namestringOptional
💡 Save results into custom named Dataset, use mask to customize dataset name{ACTOR} = actor name
{DATE} = date (YYYYMMDD)
{TIME} = time (HHMMSS)
This masks can be used to autogenerate Dataset Name.
example: data-{DATE}
Depending on today date the dataset name will be: data-20230603
default: data-{ACTOR}-{DATE}-{TIME}
