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Shopify Extractor

Pricing

$5.00 / 1,000 results

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Shopify Extractor

Shopify Extractor

Developed by

cat

cat

Maintained by Community

💫 Scrape Shopify e-commerce websites

0.0 (0)

Pricing

$5.00 / 1,000 results

5

Total users

635

Monthly users

19

Runs succeeded

70%

Last modified

2 days ago

💡 Example

examplearrayOptional

💡 Query Examples: Select one or more examples, then hit START!

OR, enter your own queries in the QUERY input below.

❓ URL

urlarrayOptional

💡 Where do you want to Shop ?

♾️ Limit

limitintegerOptional

Number of results (per-query)

♾️ Sorting

filters.sortEnumOptional

Value options:

"relevance": string"price_asc": string"price_desc": string

📁 Resource

resourceEnumOptional

Value options:

"products": string"collections": string"pages": string"blogs": string"articles": string

Currency

filters.currencystringOptional

💡 Price Currency

Format

filters.formatEnumOptional

💡 Content/Description format

Value options:

"md": string

Protocol Version

versionEnumOptional

💡 Endpoint API to try first (default=V2)

Value options:

"1": string"2": string

Search

filters.searchstringOptional

💡 Search KEYWORDS

Collection

filters.collectionstringOptional

💡 Collection name (slug)

Vendor

filters.vendorstringOptional

💡 Vendor Name

Price Range

filters.min_priceintegerOptional

filters.max_priceintegerOptional

🌐 PROXY NETWORKING

dev_proxy_configobjectOptional

💡 Supported protocol:

HTTP(S), SOCKS5
{http|socks5}://{user:pass}@{hostname|ip-address}:port

Example: socks5://example.com:9000

📜 HTTP HEADERS

dev_custom_headersarrayOptional

💡 Additional HTTP Headers

🍰 HTTP COOKIES

dev_custom_cookiesarrayOptional

💡 Additional HTTP Cookies

♻️ 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}

Clear Storage

dev_dataset_clearbooleanOptional

Clear Dataset before insert/update.

Disable data cleansing

dev_no_stripbooleanOptional

💡 Keep/Save empty values (NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING)