PriceLens dataset

PriceLens is a panel of 1,274,246 price observations for 26,658 consumer-electronics products listed by four Bangladeshi online retailers — Star Tech, Techland, Apple Gadgets and Computer Village — recorded between 25 March and 28 September 2026.

Prices were collected by an automated scraper that rebuilt its queue of product pages every 12 hours; the median time between two observations of the same product is 53 hours. Each observation includes the price in Bangladeshi taka and poisha, a UTC timestamp, and quality flags for price changes, carried-forward prices, outliers and implausible values.

No rows have been removed; 1,205,045 observations are clean. The product table gives each product’s name, URL and retailer. A text-history table records name changes and SHA-256 hashes of product descriptions. The descriptions themselves are not included because they are the retailers’ copyrighted text.

Known limitations, including survivorship bias and coverage gaps, are documented in the dataset README, which also contains the data dictionary. DATASHEET.md describes collection, preprocessing and suitable uses, and MANIFEST.sha256 lets you verify the files.

What is in the panel

• Price observations in Bangladeshi taka and poisha, with UTC timestamps.
• Quality flags for price changes, carried-forward prices, outliers and implausible values.
• A product table with each product’s name, URL and retailer.
• A text-history table with name changes and SHA-256 hashes of product descriptions.
• A README with the data dictionary, a datasheet and a SHA-256 manifest.

Coverage and limitations

Four retailers are included: Star Tech, Techland, Apple Gadgets and Computer Village. Star Tech, Techland (until 16 July 2026) and Apple Gadgets have sustained price tracking. Computer Village has observed prices only until 3 April 2026, and its later rows are flagged as carried forward.

Seven retailers were scraped; three were excluded, along with some Computer Village products, to comply with the retailers’ terms of use and robots.txt. Survivorship bias and coverage gaps are documented in the README and datasheet.

How to cite it