PromptCloud Pricing, Reviews, Pros and Cons (2026)
Try pricing out PromptCloud and you'll find three different starting prices across three different sites - $49, $150, $250. That's not a pricing page. That's a scavenger hunt. In a web scraping market worth over $1B and growing at 14.2% annually, figuring out what you'll actually pay shouldn't require cross-referencing software directories like you're solving a cold case.
We pulled every available source, reconciled the numbers, and talked to enough users to give you a clear picture of what PromptCloud costs, where it shines, where it falls short, and when you should look elsewhere.
30-second verdict: PromptCloud is a solid managed web scraping service for enterprise teams that don't want to build or maintain scrapers. Expect to pay $250-$5,000+/month depending on sources and volume. Ratings sit at 4.6/5 on G2 (16 reviews) and 4.2/5 on Capterra (14 reviews). If you're a small team on a tight budget, Apify or Zyte will serve you better.
What Is PromptCloud?
PromptCloud is a fully managed web scraping and Data-as-a-Service provider founded in 2009. You tell them what data you need, they build custom extraction pipelines and crawlers, handle maintenance, and deliver clean, structured data on a recurring schedule.
Delivery typically happens via API or file drops in CSV and JSON, with S3 and FTP/SFTP as common delivery methods. It's built for enterprise data teams, not for developers who want to tinker with scrapers themselves - you define the scope, they handle the plumbing.
Pricing Breakdown for 2026
PromptCloud doesn't publish a straightforward pricing page on its own site. Instead, you'll find conflicting numbers across review sites and software directories. Here's what we pieced together.

The G2 pricing snapshot is the clearest breakdown for buyers evaluating managed engagements. It describes a three-part structure: an initial setup fee per unique data source, a monthly fee, and volume pricing based on the number of records extracted. G2 shows pricing starting at $250/month, with usage-based pricing from $7 per 10,000 records up to $10,000/year. This was last updated December 2024, so treat it as directional rather than exact for 2026.
The SoftwareSuggest tiers paint a different picture entirely:
| Plan | Price | Records/mo | Data Fields | Archival |
|---|---|---|---|---|
| Monthly | $49/site/mo | 10K | 6 | 15 days |
| Weekly | $79/site/mo | 20K | 8 | 30 days |
| Daily | $99/site/mo | 50K | 15 | Flexible |
| Enterprise | $3,999/mo | Unlimited | Unlimited | Unlimited |
Those $49-$99 tiers are directory-listed plans with hard limits on records and fields, while the $250+ G2 pricing reflects a managed structure with setup fees, ongoing costs, and per-record volume pricing layered on top. In our analysis, most teams evaluating PromptCloud for serious, recurring data needs will land in the $250-$5,000+/month range once setup fees and volume are factored in.
Some directories list a free trial, but for most teams the "trial" looks like a demo call plus sample data delivery rather than self-serve access. You'll need a sales conversation to get an accurate quote either way.
What Users Like
Reviewers consistently highlight three strengths.

Responsive, fast support. "Communication always clear and fast... every request actioned faster than expected." This comes up repeatedly and it's the single most common positive theme across both G2 and Capterra reviews.
Reliable data delivery. One user called PromptCloud "best in pricing, data quality, and turnaround time," adding they'd "never faced any issues with data delivery, quality, or the timelines." The managed model means you're not debugging broken scrapers at 2 AM - their team handles crawling challenges as they pop up.
Hands-off complexity. The "fully managed service model takes all the complexities away... data well structured and needed no further processing." For enterprise teams without dedicated scraping engineers, this is the core value proposition, and it works.

PromptCloud scrapes the web. Prospeo gives you what comes next: 300M+ verified contacts with 98% email accuracy, 125M+ direct dials, and 30+ filters to pinpoint decision-makers - no setup fees, no sales calls, starting at $0.01/email.
Skip the scraping overhead and go straight to verified contact data.
What Users Don't Like
Expensive for smaller teams. One reviewer said it directly: "For smaller companies, price is on a higher side." If you're scraping fewer than five sources, the managed-service overhead won't justify the cost.

Limited weekend support. At least one review flags that PromptCloud doesn't provide customer support on weekends. If your data pipeline breaks on a Saturday, you're waiting until Monday.
Data freshness visibility gaps. One user noted it's "not always possible to know if a particular card has been updated." For teams that need real-time awareness of data changes, that's a meaningful blind spot.
Pricing opacity. Three different starting prices across different sites. You can't budget without a sales conversation, and that's a con in itself.
Who Should Use PromptCloud?
Use it if you're an enterprise team without dedicated scraping engineers, you need recurring structured data from 5+ sources, your budget is $500+/month for data extraction, and you value hands-off reliability over DIY flexibility.
Skip it if you're a small team or solo operator scraping fewer than five sources with a budget under $250/month, or if you need real-time, ad-hoc scraping on demand.
Here's the thing: PromptCloud's managed model is genuinely excellent for the right buyer. But "managed" is a premium you pay for with money instead of engineering time. If your team has even one developer comfortable with Python, you can replicate 80% of PromptCloud's value with Apify at a fraction of the cost - and we've seen teams do exactly that. The managed premium only makes sense when your data needs are complex enough, and your engineering bandwidth thin enough, that the alternative is hiring a full-time scraping engineer.
Alternatives Worth Considering
| Tool | Type | Starting Price | Best For |
|---|---|---|---|
| Apify | Self-serve | $29/mo | Budget teams with dev resources |
| Zyte | Self-serve + managed | $0.13/1K requests | Pay-as-you-go flexibility |
| ScrapeHero | Managed | ~$1K+/mo custom | Enterprise managed alternative |

Apify is the go-to for teams with some technical chops. The free tier includes $5 in credits, and the $29/month Starter plan gets you real compute time. You're building and running your own scrapers or using pre-built ones from their marketplace - great flexibility at a fraction of PromptCloud's cost. If you've got a developer who isn't afraid of a code editor, start here.
Zyte splits the difference between self-serve and managed. Pay-as-you-go starts at $0.13 per 1,000 requests for standard sites, scaling up for complex targets. Monthly commitment tiers at $100, $200, and $500 unlock lower rates, and a $5 free trial credit lets you test before committing.
ScrapeHero is another managed-service option at roughly $1,000+/month. Consider it if PromptCloud's quote doesn't work out or you want a second bid on a managed engagement.
Prospeo solves the problem that comes after scraping. PromptCloud gets you structured web data - company listings, product catalogs, pricing feeds. But when you need verified contact information for the people at those companies, that's where Prospeo fits. It offers 143M+ verified emails at 98% accuracy and 125M+ verified mobile numbers, all on a 7-day refresh cycle. Free tier available, no contracts, and it pairs naturally with whatever scraping tool you choose. If you're building a web scraping lead generation workflow, this is the handoff point that usually breaks.

Tired of opaque pricing and sales-call gates? Prospeo is self-serve from day one - 75 free emails/month, transparent credit-based pricing, and data refreshed every 7 days (not 6 weeks). No contracts, cancel anytime.
Get enterprise-grade B2B data without the enterprise pricing games.
Final Take
PromptCloud has earned its 4.2-4.6 ratings across major review platforms. The support is responsive, the data delivery is reliable, and the managed model genuinely removes complexity for enterprise teams. But the pricing opacity is the biggest knock against it - you shouldn't need to cross-reference multiple sites just to ballpark your costs.
One thing we noticed: PromptCloud has virtually no Reddit presence. The user community is small, and most feedback lives on review directories like G2 and Capterra. If you value unfiltered peer opinions before buying, that's a gap worth noting.
Get a custom quote directly, don't blindly trust directory pricing, and make sure your volume justifies the managed-service premium. For teams spending under $250/month on data extraction, Apify or Zyte will serve you better - and you'll know exactly what you're paying before you talk to anyone. If your end goal is outbound, pair your extraction with data enrichment services and a clean lead generation workflow so scraped records actually turn into pipeline.
FAQ
How much does PromptCloud cost per month?
Most teams pay $250-$5,000+/month depending on the number of data sources, record volume, and setup complexity. Directory-listed plans start at $49/site/month with hard limits on records and fields, but serious recurring engagements require a custom quote through their sales team.
Is PromptCloud good for small businesses?
Not really. PromptCloud's managed-service model is designed for enterprise teams with 5+ recurring data sources and budgets above $500/month. Small teams scraping fewer sources will get better value from self-serve tools like Apify ($29/month) or Zyte's pay-as-you-go pricing.
What's a good tool for contact data after scraping?
Prospeo is the strongest self-serve option for turning scraped company data into actionable contacts. It offers 143M+ verified emails at 98% accuracy and 125M+ verified mobile numbers, with a free tier and pricing starting at $0.01 per email - no contracts required.
Does PromptCloud offer a free trial?
Some directories list a free trial, but in practice PromptCloud's trial typically involves a demo call and sample data delivery rather than self-serve access. You'll need a sales conversation to evaluate the service with your actual data sources and volume requirements.
