Federal Contract

Sources Sought: Social Media Monitoring

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Agency

NATIONAL INSTITUTES OF HEALTH

NAICS Code

541519

Department

HEALTH AND HUMAN SERVICES, DEPARTMENT OF

Solicitation Type

Sources Sought

Solicitation #

PCA-NICHD-09419_Sources

PSC Code

DA10

Division

NATIONAL INSTITUTES OF HEALTH OLAO

Performance State

MD

Posted

Thu, September 3, 2026

Response Deadline

Wed, September 9, 2026

Description

GENERAL This is a Sources Sought notice. This is NOT a solicitation for proposals, proposal abstracts, or quotations. The purpose of this notice is to obtain information regarding the availability and capability of all qualified sources to perform a potential requirement. This notice is issued to help determine the availability of qualified companies technically capable of meeting the Government requirement, to determine the method of acquisition. It is not to be construed as a commitment by the Government to issue a solicitation or ultimately award a contract. The Government will NOT be responsible for any costs incurred by the respondents to this notice. BACKGROUND The Division of Population Health Research (DiPHR) within the Eunice Kennedy Shriver National Institute of Child Health and Human Development, requires automated collection and management of large-scale public social media data related to food, nutrition, eating behaviors, hunger, and sentiment from platforms such as Instagram, Facebook, and X (Twitter). Access to these services will accelerate research productivity and generate preliminary data for future external funding opportunities. SALIENT CHARACTERISTICS The DiPHR has utilized Apify in the past, and is seeking information on this and other comparable solutions available commercially. The solution must provide scalable data acquisition capabilities that enable efficient collection of millions of text, image, and video records needed for artificial intelligence (AI), Large Language Models (LLMs), computer vision, and machine learning analyses. Data acquisition must be timely, reproducible, and conducted on a large-scale. Additionally, the solution must: Collect public social media data from multiple platforms, including Instagram, Facebook, and X (Twitter), to support research on food, nutrition, eating behaviors, hunger, and public sentiment. Feature automated, scalable data extraction capable of collecting millions of text, image, video, engageme

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