Upwork verdict · build Solution request

Pipeline for scraping and organizing public records and media

Built for public interest researchers and journalists.

“6 days ago — We're looking for an experienced public-data researcher and scraper to help us build a reliable, organized pipeline of publicly available police ..…”

The receipts — real demand

“6 days ago — We're looking for an experienced public-data researcher and scraper to help us build a reliable, organized pipeline of publicly available police ... Read more”
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Full dossier

Unlock the full dossier — free

Every corroborating quote, the source receipts, and the community echo. One email, no payment.

6.0 / 10 · demand score
Pain 8
Willingness to pay 6
Feasibility 4
Specificity 7
Audience 3
Competition 1

Why this is a gap

Surfaced from a high-intensity complaint with clear willingness to pay and a specific, reachable audience.

The market

Public interest researchers, journalists, and advocacy groups building data on public institutions (e.g., police records). Zero search volume suggests demand is real but highly specialized and non-commercial, with buyers scattered across nonprofits and media outlets rather than organized around a searchable keyword.

Competition & the opening

Open field · 1/10

Low competition (1/10) indicates no turnkey product, but researchers currently scrape manually or use fragmented tools (BeautifulSoup, Selenium, custom scripts). The gap is a reliable, maintained, legal pipeline that abstracts away scraping complexity.

What's hard to build

Building this requires: legal review for each jurisdiction's public records access rules and terms of service compliance; handling frequent changes in court/government website structure that break scrapers without monitoring; and managing the operational cost of maintaining 50+ state and federal court systems' data feeds. Feasibility 4/10 reflects the ongoing maintenance and legal/technical fragme

Why now

Public records use cases (compliance, investigations, research) are growing; scraping + org pipeline is labor-intensive and repeatable.

How you'd monetize

usage-based API pricing or $99–299/mo subscription