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Apparel E-commerce Data Extraction

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Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This subcontract, titled Apparel E-commerce Data Extraction, supports prime contractors on projects for the Department of Labor Bureau of Labor Statistics. The scope of work involves the development and maintenance of automated web scrapers to extract pricing and product data for apparel, footwear, jewelry, and watches from major retailers including Macy’s, Kohl’s, Nordstrom, Dillard’s, and JCPenney. Technical execution requires the use of Scrapy, Selenium, Beautiful Soup, and proxy management systems to deliver structured datasets. The opportunity is designated as a total Small Business Set Aside under NAICS code 541511 and is managed by the DOL Cas Division 5 Procurement. The solicitation was posted on September 3, 2026, with a response deadline of September 11, 2026. Performance is associated with location 80742.

General Info

Subcontract for automated apparel data extraction for the Department of Labor Bureau Statistics.

Agency

Department Of Labor → DOL - Cas Division 5 ProcurementView Agency

NAICS

541511 - Custom Computer Programming ServicesView NAICS

Place of Performance

80742, DC, USA

Set-Aside

SBA

Documents

This scope was carved out of 1605C5-26-Q-00040.

The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Webscraped Apparel Data

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Timeline

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Organization & Contact Information

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AgencyDepartment Of Labor → DOL - Cas Division 5 Procurement
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Labor → DOL - Cas Division 5 Procurement
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Office AddressN/A
ContactsNo contact information available

Full Description

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Performs automated web scraping of product data for prime contractors on Department of Labor Bureau of Labor Statistics projects. Develops and maintains scrapers for Macy’s, Kohl’s, Nordstrom, Dillard’s, and JCPenney to extract data for apparel, footwear, jewelry, and watches. Utilizes Scrapy, Selenium, Beautiful Soup, and proxy management systems. Delivers structured datasets of apparel pricing and product information.

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