Fiverr verdict · build Pain point

Web scraper that exports structured data to Excel or CSV

Built for ecommerce, real estate, market research teams.

“Scrape data from any website into excel or csv by Uardaturun…”

The receipts — real demand

“Scrape data from any website into excel or csv by Uardaturun”
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Every corroborating quote, the source receipts, and the community echo. One email, no payment.

5.8 / 10 · demand score
Pain 7
Willingness to pay 5
Feasibility 7
Specificity 6
Audience 7
Competition 9

Why this is a gap

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

The market

E-commerce, real estate, and market research teams need structured web scraping to Excel or CSV. No search volume data provided; demand is implied by the pain statement but scale is unclear.

Competition & the opening

Already owned an incumbent owns the exact job Moat 1/10 · no real moat Market 8/10 · broad market
Category giants · 9/10 vs OctoparseParseHubImport.ioApifyListlyExcel built-in Power Query (Get & Transform)

Highly crowded (9/10). Octoparse, ParseHub, Import.io, Apify, and Listly all offer no-code scraping to structured export. Excel's native Power Query also handles basic scraping. The gap is narrow: most solutions already export to CSV/Excel; differentiation would require cheaper pricing, easier UI, or niche vertical templates.

What's hard to build

Very hard to compete. Web scraping at scale requires robust proxy infrastructure, JavaScript rendering, CAPTCHA handling, and IP rotation to avoid blocks. Competitors like Apify and Bright Data have already invested heavily in these capabilities. Building reliable scraping infra from scratch is capital and ops-intensive.

Why now

Power Query confuses non-technical users; Octoparse/ParseHub UIs are slow; demand for instant CSV export remains high.

How you'd monetize

Freemium ($0 for basic 1k rows/mo, $14.99/mo for unlimited + scheduling)