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U.S. Department Of Labor·District of Columbia

Webscraped Apparel Data

Closes 9/11/2026$300k – $800kRequest for Quotation
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Description

The Bureau of Labor Statistics (BLS) Office of Price and Living Conditions (OPLC) is seeking a firm‑fixed‑price vendor to provide structured, web‑scraped apparel data from the nation’s largest department‑store retailers. The data must cover men’s, women’s, children’s apparel, footwear, jewelry and watches, captured three times per month (approximately the 1st, 10th, and 20th) and delivered within one business day of each scrape. The contract includes a 12‑month base period starting 09/30/2026 with four optional one‑year extensions, for a potential total performance of up to five years. Deliverables are electronic files (CSV, Excel, SAS, etc.) transferred securely via SFTP. The solicitation is a small‑business set‑aside (women‑owned) RFQ with a firm‑fixed‑price structure. • Scope: Monthly web‑scraped product catalogs from Macy’s, Kohl’s, Nordstrom, Dillard’s, JCPenney, and any additional large retailers as required. • Data elements: SKU, category, sub‑category, price, offer price, third‑party seller flag, shipping fee (if available), sales rank indicator, detailed product description (brand, material, style, etc.). • Frequency: Three scrapes per month; deliver within 1 business day; full month’s data due by the first business day of the following month. • Delivery: Secure electronic transfer (SFTP) in common file formats. • Period of performance: 09/30/2026‑09/29/2027 (base) plus up to four 12‑month options. • Set‑aside: 100 % women‑owned small business (WOSB).

Attached files

Contact

Shayla Battle

[email protected]

Key dates

Opened
9/3/2026
Questions due
9/7/2026
Closes
9/11/2026
Duration
12 months

Last updated

Details

Type
Request for Quotation
Industry
Consulting Services
NAICS
541910
Solicitation №
1605C5-26-Q-00040

Budget estimate

$300,000 – $800,000

The solicitation does not disclose a total award ceiling. Based on the extensive monthly data volume (potentially hundreds of thousands of SKUs across multiple retailers), the need for three scrapes per month, secure data handling, and the five‑year maximum term, a reasonable estimate is between $300 k and $800 k per year. The low end assumes a modest data set and limited customization; the high end reflects comprehensive coverage of all product attributes, multiple retailers, and optional extensions.

AI estimate from the solicitation

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