# Pricing
# Pricing that fits your data project. Not the other way around.
PromptCloud doesn't publish fixed tiers because no two data requirements are the same. What you pay depends on what your project actually involves, and we scope that together before anything is agreed.
Talk to a data expert See Sample Data [  ](https://www.g2.com/products/promptcloud/reviews?utm_source=review-widget) [  ](https://www.capterra.com/p/153968/PromptCloud/) [  ](https://www.trustpilot.com/review/www.promptcloud.com)## Tell us about your data requirement
A solutions engineer will respond within one business day with a scoped proposal.
Select type of dataEcommerce Product DataTravel DataData for AIJobs DataNews, Articles, and ForumsProduct ReviewsReal Estate ListingsAirline DataHotel Listings and Pricing DataSocial Media DataMarket Research and AnalyticsAutomobile DataImage ExtractionOthers
Select your budget250-500 USD500-1000 USD1000-5000 USDOver 5000 USD
Choose what best describes your goalCustom CrawlingAI TrainingPricing IntelligenceMarket ResearchJob Data AggregationSentiment & Review AnalysisNews & Event TrackingOthers
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Years of expertise 0 + Pages scraped monthly 0 B+ Enterprise clients 0 + Countries served 0 + ## Six factors that shape your project cost
Every PromptCloud engagement is scoped individually. These are the six variables our solutions engineers assess when building your proposal. Understanding them means you can arrive at that conversation already prepared.
### Number of sources
Each website or domain we scrape requires its own extraction logic, anti-bot handling, and maintenance. A project covering 5 sources is meaningfully different from one covering 500.
Higher source count = higher baseline cost
### Data volume
The total number of records you need per day or per month shapes infrastructure requirements. A feed of 10,000 records per day operates at a very different scale than one delivering 10 million.
Higher volume = greater infrastructure overhead
### Crawl frequency
Real-time or hourly crawling demands always-on infrastructure and faster pipelines. Weekly or on-demand extraction is less intensive. Your required refresh rate directly affects cost.
More frequent crawls = more compute required
### Anti-bot complexity
JavaScript-heavy pages, login-gated content, CAPTCHA-protected sources, and rotating bot-detection layers all require significantly more engineering effort to extract reliably at scale.
More complex sources = deeper engineering investment
### Data delivery format
Delivering raw HTML is lighter than delivering clean, structured JSON or CSV. Feeding data directly into your API or S3 bucket with a defined schema adds delivery engineering on top of extraction.
More structured delivery = more processing involved
### Schema complexity
A simple extract of product names and prices is straightforward. Multi-level schemas with dozens of fields, nested objects, or matching records across sources require more custom extraction logic.
More complex schemas = more build and QA effort
## Is PromptCloud right for your project?
Those six cost drivers only matter if PromptCloud is the right model for your situation. We are a specialist, not a general-purpose tool. Being honest about fit saves everyone time, including yours.
### Good fit
### You need continuous, recurring data from the web, not a one-time pull
### Your team cannot afford the engineering hours to maintain scrapers internally
### You need clean, structured output that goes directly into your analytics or product
### You are collecting from 10 or more sources with varying structures
### Reliability and SLA accountability matter more to you than raw infrastructure control
### Likely not the right fit
You need a single, one-time scrape of a handful of URLs
Your data engineering team has spare capacity and prefers to own the stack
You are still defining your data strategy and not yet ready to scope a pipeline
If you are looking for ready-made data feeds or dashboards, JobsPikr (job market data) and 42Signals (ecommerce intelligence) may be a better starting point.
## Two resources that help before the first call
If you are still deciding whether managed scraping makes sense for your situation, these two resources are the fastest way to build a clear picture.
- Interactive tool
### Web Scraping Build vs Buy Calculator
Most teams significantly underestimate what in-house scraping actually costs when engineering time, proxy infrastructure, monitoring, and rebuild cycles are all factored in. Enter your setup and see the real annual number before your next budget conversation.
[ Calculate my cost ](https://www.promptcloud.com/web-scraping-build-vs-buy/)- Technical guide
### Why Web Scrapers Fail in Production
Most production scrapers develop reliability problems within 90 days. This guide covers the 11 failure modes engineering teams hit at scale — from anti-bot evolution and DOM drift to silent schema decay — and what high-reliability data teams do differently.
[ Read the guide ](https://www.promptcloud.com/why-web-scrapers-fail-in-production/)## Why we don't publish fixed pricing tiers
You've just seen the six variables that shape a data project's cost. Each combination produces a different scope — and a different price. A pricing table built around round numbers would either underprice complex work or overprice simple work, and in both cases you would lose.
We scope every project individually because that is the only way to give you a number that is both accurate and fair to you and to us. The conversation usually takes 30 minutes. The proposal follows within 48 hours.
### You pay for outcomes
Pricing reflects the data you receive and its reliability, not the infrastructure we run to produce it.
### No surprise overages
Scope is agreed upfront. Nothing changes without a formal scope amendment and your explicit sign-off.
### Predictable for your finance team
Project-based pricing means your cost is defined before the work begins, not metered after the fact.
### A pilot before you commit
Every engagement begins with a sample delivery. You validate quality and schema fit before the full pipeline activates.
## What every engagement includes
When you engage PromptCloud, you are not paying for access to scraping tools. You are paying for a managed outcome, with everything required to sustain it included in the price. No hidden support tier. No surprise infrastructure bills.
> I truly appreciate the exceptional support from the entire PromptCloud team. Your prompt responses to our requests and proactive approach in identifying and resolving potential issues have been invaluable. I admire the team's go-getter attitude when exploring new opportunities. I look forward to expanding our collaboration in the coming years.
>
> Global data science lead Global consumer goods company 10+ employees
### Managed crawler infrastructure with no DevOps burden on your team
### Data validation, schema checks, and anomaly detection before delivery
### Delivery to your preferred endpoint: API, S3, FTP, or webhook
### Dedicated account manager and technical support throughout your engagement
### Anti-bot handling and ongoing maintenance as target sites evolve
### Automatic pipeline updates when target website structures change
### SLA-backed delivery schedules with agreed accuracy thresholds
### ISO 27001-certified security practices and GDPR-compliant operations
## Trusted by data teams at leading enterprises
From Fortune 500 companies to fast-growing data platforms, here is what clients say after making the switch to managed infrastructure. ## Further Reading & Insights
Related guides, tools, and reports for data and engineering teams evaluating their scraping infrastructure. ## Pricing questions, answered
These are the questions that come up most often before a first conversation. If yours is not here, the scoping call is the right place to ask it. Why don't you publish pricing tiers on this page? Because no two data projects are the same. A pricing table built around record counts or source counts would either underprice complex work or overprice simple work, and in both cases you would lose. Scoped pricing means you pay for exactly what your project requires, with no surprise overages and no charges for capacity you never use. What does a typical project look like in terms of scale? Our engagements range from focused pipelines delivering a few thousand records per day from a handful of sources, to enterprise-grade programmes collecting tens of millions of records monthly across hundreds of domains. The pricing conversation starts when we understand your scope, not before. Can I start with a pilot before committing to a full engagement? Yes, and we strongly recommend it. Every project begins with a sample delivery. We extract real data from your target sources and deliver it in your required format so you can validate quality and schema fit before the full pipeline is activated. How long does it take to receive a quote after I reach out? After a scoping call, you typically receive a written proposal within 24 to 48 business hours. The scoping call itself usually runs 30 to 45 minutes and is the fastest way to get a precise number. Is the pricing fixed once a project starts, or can it change? Your project price is fixed to the agreed scope. If your requirements grow (more sources, higher frequency, additional fields) we discuss and agree a scope adjustment before any cost changes. Nothing changes without your explicit sign-off. Do you charge per record, per source, or per month? None of the above exclusively. Project pricing is based on the combination of all cost drivers: volume, sources, frequency, complexity, and delivery format, evaluated together. This is how we arrive at a number that reflects the actual work involved rather than a simple usage meter. We already have in-house scrapers. How does a transition work? We run your PromptCloud pipeline in parallel with your existing scrapers during a validation period. Your team compares output side by side. Once you are satisfied with the quality and schema continuity, you decommission your own scrapers at whatever pace suits your team. There is no forced cutover and no gap in data delivery during the transition. What happens if a source breaks or a site changes its structure after we go live? That is entirely our problem, not yours. Every active pipeline runs continuous yield monitoring against expected field populations and schema structure. When a site changes, our team is alerted automatically and the fix is handled before the output gap is large enough to affect your downstream systems. Most tier-1 source issues are resolved within four hours of detection. What is included beyond data delivery? Every enterprise engagement includes managed infrastructure, anti-bot maintenance, schema monitoring, change detection when target websites update their structure, data validation and QA, and a dedicated account manager. There is no hidden support tier. It is all part of the service. ## Ready to scope your project?
Share your data requirements with our team. We'll send a structured sample dataset before any commitment — so you can validate quality and format before going live. Submit Your Requirement