Why a demo is not an evaluation
A scripted demo shows a polished sample and a happy path. It says little about quality under load across millions of records, a vendor’s compliance posture and sourcing policy, or how fast a broken source gets fixed once you are a customer. A structured evaluation surfaces those differences before you sign, not after.
Six dimensions to score every vendor on
Strong and weak providers look alike until you compare them on the same axes. The kit scores each vendor across six weighted dimensions:
Data quality and QA
How quality is measured, monitored, and guaranteed, backed by real sample accuracy and fill-rate numbers.
Scale and throughput
Whether the provider can deliver your volume, source count, and frequency without degrading.
Compliance and data handling
Certifications, sourcing policy, and how personal data and site terms are handled.
SLAs and support
Contractual commitments on freshness and uptime, and how fast issues get fixed, by severity.
Integration and schema flexibility
Delivery patterns, format options, and how schema changes are absorbed without breaking your systems.
Pricing and commercial fit
A transparent model that scales with volume, with no surprises as you grow.
An RFP question bank and a weighted scorecard
The kit includes a ready-to-send RFP question bank with sharp questions for each dimension, designed to draw out specifics, sample numbers, named processes, and real SLAs, not adjectives. It also includes a weighted vendor scorecard: rate each provider one to five on every criterion, multiply by your weights, and get one comparable number per vendor. Set the weights before you score, so priorities are fixed in advance and not bent to fit a favorite.
Red flags to watch for in vendor answers
How a vendor answers is as telling as what they answer. Watch for a refusal to share real sample data, vagueness on certifications and compliance, no SLA they will put in writing, no clear explanation of how they detect and fix a broken source, opaque pricing, and no named support with defined response times. One red flag is a question; several together are your answer.
Run a pilot before you commit
Answers on paper are a start, but a short pilot on your real sources turns claims into evidence. Define success criteria up front, have each finalist deliver from your actual sources rather than a curated demo dataset, and score the delivered data on the same card. Give every finalist the same sources, window, and criteria, so the pilot compares vendors, not conditions.
Score PromptCloud against anyone
PromptCloud delivers reliable, large-scale web data on a recurring basis, and we welcome a structured evaluation. We will answer every question in the bank, share real sample data, and run a pilot on your sources. ISO 27001:2022 certified and GDPR and CCPA compliant, with SLAs in writing and named support, so we score well on the criteria that matter most.
Frequently asked questions
What is a vendor scorecard?
A vendor scorecard is a structured tool for comparing providers on the same weighted criteria. You rate each vendor on every criterion, multiply by a weight that reflects its importance, and total the scores to get one comparable number per vendor, so the choice is based on evidence rather than impressions.
How do you evaluate a web scraping vendor?
Score every vendor on the same dimensions: data quality and QA, scale and throughput, compliance and data handling, SLAs and support, integration and schema flexibility, and pricing. Send the same RFP questions, collect real sample data, weight the criteria for your priorities, and run a pilot on your own sources before deciding.
What should an RFP for a data provider include?
It should ask for specifics in each area: how quality is measured with sample numbers, largest deployment by volume and source count, certifications and sourcing policy, freshness and uptime SLAs in writing, supported delivery patterns and how schema changes are handled, and how pricing scales with volume. The goal is comparable, evidence-backed answers.
How do you compare data-as-a-service providers?
Use one scorecard for all of them. Define your weighted criteria, ask every provider the same questions, gather real sample data instead of screenshots, and score each on the same one-to-five scale. Comparing on identical criteria is what makes the trade-offs visible and the decision defensible.
Should you run a pilot before choosing a vendor?
Yes. A short pilot on your real sources is the cheapest insurance in the process. It converts a vendor’s claims into measured results on your data, and comparing finalists under identical conditions removes most of the risk before you sign a multi-year commitment.
