Magento E-Commerce Scraper

  • jupri/magento-scraper
  • Modified
  • Users 36
  • Runs 341
  • Created by Author's avatarcat

Scrape data about product price, description and other information from Magento E-Commerce websites.

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Then $30.00/month

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Magento E-Commerce Scraper

Free trial for 7 days

Then $30.00/month

馃洅 Homepage

url

Optional

string

search

Optional

string

Search by Keywords

馃洅 Limit

limit

Optional

integer

Limit number of results.

Show filters

show_filters

Optional

boolean

Show available filters & sorting Keys (in console).

Sorting Key

sort

Optional

string

Every website could have different Sorting Key. Use show_filters=true to show available options. Most common values is: name, price

Order

order

Optional

Enum

Sorting Order

Options:

"asc": string"desc": string

Description

include_description

Optional

boolean

Long description (HTML).

include_gallery

Optional

boolean

include_related

Optional

boolean

Variants

include_variants

Optional

boolean

Up-Sell Products

include_up_sell

Optional

boolean

Upselling is the process of encouraging customers to upgrade or include add-ons to the product or service they're buying.

Cross-Sell Products

include_cross_sell

Optional

boolean

Cross-selling is the process of offering a customer products that are compatible with the ones they're purchasing.

SKU

filters:sku

Optional

string

Name

filters:name

Optional

string

Description

filters:desccription

Optional

string

Min. Price

min_price

Optional

integer

Minimum price

Max. Price

max_price

Optional

integer

Maximum price

More Filters

other_filters

Optional

array

Use show_filters=true to show all available options.

Enable Custom Fields

dev_transform_enable

Optional

boolean

Fields List

dev_transform_fields

Optional

array

Enable Custom Storage

dev_dataset_enable

Optional

boolean

Clear Storage

dev_dataset_clear

Optional

boolean

Clear Dataset before insert/update.

Dataset Name

dev_dataset_name

Optional

string

Use mask to customize dataset name:

{ACTOR} = actor name
{DATE} = date (YYYYMMDD)
{TIME} = time (HHMMSS)


default: data-{ACTOR}-{DATE}-{TIME}

Unique Column

dev_dataset_key

Optional

string

Column name from results to use as Key for Key-Value Storage. For example: product_id (must be unique).