Managed scraping infrastructure as a subscription where customers define targets and get clean structured data delivered to their warehouse, never touching infrastructure
Scraping at 100M+ URL scale is an ops nightmare that repeats for every customer, packaging it as a data delivery service captures recurring revenue instead of one-off freelance work
Built for enterprises doing large-scale data collection.
Sell the output (clean data in BigQuery/Snowflake) not the scraper, so customers never deal with proxies, parsing, or maintenance
“Looking for an engineer and/or team who can help with a very large scale scraping project of over 100m URL's. This could very easily become full time work ...…”
The receipts — real demand
“Looking for an engineer and/or team who can help with a very large scale scraping project of over 100m URL's. This could very easily become full time work ...”
Full dossier
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Every corroborating quote, the source receipts, and the community echo. One email, no payment.
demand score 6.2 — the receipts are below
Why this is a gap
Surfaced from a high-intensity complaint with clear willingness to pay and a specific, reachable audience.
The market
Enterprise data teams executing large-scale scraping projects (100M+ URLs) need managed infrastructure to avoid IP bans and cost overruns. Zero search volume reflects that this is a specialized, high-touch problem solved by custom engineering rather than SaaS.
Competition & the opening
Bright Data and Apify offer scraping infrastructure, but the gap is a cost-optimized, fully managed service for extremely large-scale projects. Low competition (1/10) is misleading given these incumbents; the real gap is better pricing and orchestration.
real pricing Apify Free plan $0 with $5 monthly credit; Starter $29/month or $49/month; pay-as-you-go available
What's hard to build
Managing 100M+ URLs requires distributed crawling infrastructure, sophisticated proxy rotation, and real-time cost monitoring across cloud providers. Detecting and evading anti-bot detection (CloudFlare, WAF, rate limiting) at scale is technically very hard (4/10 feasibility).
Why now
Web scraping at 100M+ scale requires distributed infrastructure that individuals cannot build; cloud-native scraping is now viable.
How you'd monetize
usage-based pricing ($500-5k/mo depending on volume and complexity)