Extract name, description, sku, id, images, features, options. Save to files: csv,xml,json,excel.Read more
We have own solution for web scraping and we extract data from any web site using in-house software for each client.
We provide managed Overstock web scraping or Overstock price monitoring services for business.
When you need to scrape data
from Overstock site
1 time or periodically.
Using our web scraping services you can extract Overstock data and save to
csv, json, xml or excel files.
Common questions about Lazada web scraping:
|Do you scrape data?||Yes, we do that from website.|
|Do you save data to files?||Yes. Json,xml,csv or json.|
|Can you extract data daily?||Yes, we can.|
|Can I determine urls to extract?||Yes, you can.|
|Can I extract all items from category?||Yes, you can.|
Overstock is an American online store founded in 1997 by Robert Brazell. The original name of the store was D2: Discounts Direct. Then, in 1999 it was named as Overstock by Patrick M. Byrne. As it appeared on the eComerce market, the company solely focused on selling surplus and returned goods with the below-wholesale prices. Now, it continues dealing with closeout home decor, furniture, bedding, jewelry and watches, apparel and designer accessories, but it has new supplies available. The company manages Retail and Medici businesses. The retail business includes the Direct (sales from the warehouse) and Partner segments (online sales).
|Filename / Link||Size|
|00003_Kids & Baby_Kids' Furniture_Kids' & Childrens Tables_excel.xlsx||35.61 Kb|
|00006_Shoes_Women's Shoes_Womens Boots_excel.xlsx||197.77 Kb|
|00007_Shoes_Women's Shoes_Women's Pumps_excel.xlsx||55.43 Kb|
|00008_Shoes_Women's Shoes_Womens Sandals_excel.xlsx||52.64 Kb|
|00009_Shoes_Women's Shoes_Sneakers_excel.xlsx||21.8 Kb|
|00010_Shoes_Women's Shoes_Womens Flats_excel.xlsx||35.1 Kb|
|00011_Shoes_Women's Shoes_Womens Wedges_excel.xlsx||8.2 Kb|
|00012_Shoes_Women's Shoes_Womens Slippers_excel.xlsx||21.92 Kb|
|00013_Shoes_Women's Shoes_Peep Toe_excel.xlsx||10.87 Kb|
|00014_Shoes_Women's Shoes_Platform Shoes_excel.xlsx||9.79 Kb|
|00016_Shoes_Men's Shoes_Casual Shoes_excel.xlsx||102.62 Kb|
|00017_Shoes_Men's Shoes_Athletic Shoes_excel.xlsx||37.78 Kb|
|00018_Shoes_Men's Shoes_Men's Dress Shoes_excel.xlsx||16.67 Kb|
|00019_Shoes_Men's Shoes_Men's Slippers_excel.xlsx||9.78 Kb|
|00020_Shoes_Men's Shoes_Canvas Shoes_excel.xlsx||9.99 Kb|
|00021_Shoes_Men's Shoes_Men's Boots_excel.xlsx||23.1 Kb|
|00023_Shoes_Kids' Shoes_Girls' Boots_excel.xlsx||5.91 Kb|
|name, sku, price, description|
|quantity or availability||If quantity is accessible we extract as is , if no we determine availability and if item is available set quantity = 5 if no = 0|
|all images||all images will be scraped and we will save them as urls.|
|features||each feature will extracted separately and will saved to appropriate columns or tags|
|options (size, color etc)||each combination with specific set of size or color will be saved correctly and all related images will be saved for such combination|
|categories with structure||you can extract full category path for each items and to get full hierarchy for source catalog|