Fiverr verdict · build Solution request
15K searches/mo+15% ↑rising

Web scraping platform with drag-and-drop selectors

Built for Business analysts, researchers, and operations teams across industries who need periodic bulk data extraction from websites without coding..

“Rating 5.0(62)About this gig ... Need web scraping with a quick turnaround and an affordable price. I will scrape | extract data and export it to Excel, CSV, Go…”

The receipts — real demand

“Rating 5.0(62)About this gig ... Need web scraping with a quick turnaround and an affordable price. I will scrape | extract data and export it to Excel, CSV, Google Sheets, or ...”
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Full dossier

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

6.3 / 10 · demand score
Pain 7
Willingness to pay 5
Feasibility 6
Specificity 8
Audience 6
Competition 2

Why this is a gap

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

The market

Business analysts, researchers, and operations teams across industries needing periodic bulk data extraction without coding. No search volume, but the pain (affordable, quick scraping for Excel/CSV/Sheets) matches low-barrier, high-volume freelance demand.

Competition & the opening

Open field · 2/10

Similar to [2], but the drag-and-drop angle competes with Bright Data, Import.io, and freelancers. The opening is a truly no-code selector tool (not code generation) that business teams—not developers—can maintain.

What's hard to build

Selector-based scraping is fragile: a single CSS class rename breaks all saved jobs. You need intelligent fallback selectors, visual feedback on selector validity, and automated re-detection when a site changes, all without burdening users with repair workflows.

Why now

No-code automation demand is high but web scraping still requires coding or expensive freelancers.

How you'd monetize

$29/mo SaaS with per-run limits