Enterprise web scraping,fully managed

PromptCloud runs web scraping as a fully managed service built for one thing: enterprises that need large volumes of recurring web data and do not want to own the complexity of getting it.

You define what data you need. We own everything between that definition and the delivered dataset, sourcing, building, monitoring, and fixing the extraction so your team never has to.

Your data pipeline Running

You define requirementsSites, fields, schedule

You

We source, build, monitor, fixCrawls, QA, site-change repairs

PromptCloud

Clean data lands in your stackJSON, XML, CSV via API or storage

You

Who We Work With

Three ways to get web data

Most enterprises choose between building it, licensing a tool, or handing it off. Here is how those play out, and where PromptCloud sits.

Build it in-house

Hire engineers, manage proxies, handle blocks, and rebuild extractors every time a target site changes.

License a self-serve tool or API

Skip building the base infrastructure, but your team still writes the extraction logic, runs it, and reacts when something breaks.

Hand it to a managed provider

Define what data you need, and someone else owns sourcing, building, monitoring, and delivering it. We are not a tool you operate. We are the team operating it for you.

Not sure which applies to you? In-house strains when engineers spend more time fixing scrapers than shipping product. A self-serve tool strains when alerts outnumber data. Managed becomes right once scale outpaces what any team can babysit.

How it works, step by step

Six steps from your requirements to clean data in your stack. Click through to see what happens at each one.

When a target site changes its layout or adds a new defense, our engineering team detects it and repairs the extractor before your next scheduled delivery. You find out about site changes from us, not from a gap in your data.

Three inputs to get started

Every engagement begins with three things. That is the whole ask on your side.

Target sites and sources

The websites, apps, or platforms you want data from.

Data fields

The exact fields you need extracted: price, rating, availability, and so on.

Delivery format and schedule

How you want data structured, and how often you need it refreshed.

What your sample data looks like

Before any commitment to full-scale crawling, you see exactly what your delivery will look like, in the format your systems expect.

Illustrative format only, not real client output. Field names shift entirely based on your schema.

JSON

XML

CSV

Enterprise web scraping across your industry

The same managed model applies across every vertical we serve. Only the fields and sources change.

Retail & e-commerce

Pricing intelligence, assortment and inventory tracking

Financial services

Market and alternative data feeds

Recruitment & HR

Job market and compensation benchmarking

Automotive

Inventory and pricing intelligence

Legal & professional

Regulatory and public-record monitoring

Manufacturing & logistics

Supply chain and shipping visibility

Real estate

Listings aggregation and market comps

Travel & hospitality

Fare and availability intelligence

How it works in the real world

Three examples from completed engagements, anonymized, not composite or hypothetical.

Location-based pricing data

A U.S. e-commerce company needed product and pricing data from its own retail outlets nationwide, filtered by zip code, plus competitor sites for benchmarking. We built site-specific crawls capturing product identifiers, category, price, and stock, classified by zip code and delivered in JSON via REST API.

Own + rival

Sources

Zip-code

Granularity

JSON API

Delivery

Job listings aggregation

A job portal wanted to enrich its listings by aggregating postings from roughly 20 external job boards, covering titles, locations, wages, company profiles, and descriptions. Because postings turn over constantly, we delivered fresh data every day, not a periodic pull, straight to the client’s Dropbox.

20+

Job boards

Daily

Refresh

CSV

To Dropbox

Airline fare intelligence

A major US airline needed structured fare, schedule, and seat availability across 20+ airline and OTA sites to build its own price elasticity model. Its in-house setup wasn’t accurate enough for margin decisions. We replaced it with consistent real-time and historical fare data on a set schedule via API.

Satisfaction

17%

More profit

20+

Sites tracked

What makes the web hard to access

Modern sites defend themselves with a stack of technical barriers. Any one can break a scraper that wasn’t built for it. We handle all six as a matter of course.

Web application firewalls

The first line of defense most sites deploy.

Anti-bot systems

Designed to detect and block automated traffic.

CAPTCHA

Puzzle challenges meant to separate humans from bots.

JavaScript rendering

Many modern sites render content client-side, so a plain HTTP request returns nothing useful.

Rate limiting

Sites cap how fast you can request pages.

TLS fingerprinting

Some sites detect non-browser traffic at the connection level, before a page even loads.

Reliability you can build a pipeline around

Enterprise web scraping only holds up if the reliability behind it is real, not just a claim on a page.

SLA-backed delivery

Agreed upfront on uptime, freshness, and error rate, not left to an informal understanding.

ISO 27001-aligned security

Applied across how data is handled and stored.

A named engineering contact

For your account, not a shared support ticket queue.

Two-stage QA on every delivery

Automated validation plus human review.

Continuous site-change monitoring

With fixes shipped before your next delivery.

Over a decade at enterprise scale

Running managed extraction for enterprise data teams.

Data quality you can audit

Every delivery passes five checks before it ships. Nothing lands in your stack until it clears all five.

Completeness

Every expected field, every record.

Freshness

Delivered on the cadence you set, not whenever a batch finishes.

Consistency

The same schema applied across every source, every time.

Deduplication

Handled before delivery, not left for your team to clean up.

Anomaly detection

Volume and structure checked against expected bounds before data ships.

What this actually costs you, by approach

Setup is only the first line item. Here is where each approach spends your team’s time and risk.

	BUILD IN-HOUSE	SELF-SERVE TOOL OR API	Managed with PromptCloud
Setup time	Weeks to months hiring and building	Days to configure, but you write the extraction logic	Sample data within days of sharing requirements
Ongoing maintenance	Your engineers rebuild scrapers when sites change	Your team monitors runs and reacts to failures	Included, fixed before your next scheduled delivery
Compliance & legal exposure	Your team owns it	Mostly your team owns it	Built into how crawls are designed and run
Scaling to more sources	Add engineering headcount	Add complexity you manage yourself	Scoped and scaled on our side
Where your team’s time goes	Scraping infrastructure	Configuring and babysitting a tool	Your own product

Not sure what your current approach actually costs you?

Calculate the hidden cost of DIY or self-serve scraping.

These stop being your problem

Moving to a managed model means the work that quietly eats your engineering time disappears from your side entirely.

Proxy management and IP rotation

CAPTCHA solving and anti-bot workarounds

Rebuilding extractors when a site changes its layout

Monitoring dashboards and on-call rotations for scraper failures

Data cleanup, deduplication, and schema consistency checks

Your data, your rules

Every schema is built to your specification, not adapted from a generic template. Field names, formats, and normalization rules follow your requirements exactly, so what arrives is already in the shape your downstream systems expect. If your business rules change, the schema changes with them.

100%

Built to your schema, not ours

Your field names

Named the way your systems expect

Your formats and structure

JSON, XML, or CSV, shaped to your schema

Your normalization rules

Applied before delivery, every time

Teams that made the switch

What enterprise and mid-market engineering and data leaders say after handing off scraper operations to PromptCloud.

Your service has been very useful to us, and almost completely trouble-free. Any time we've had an issue, you've fixed it almost immediately. I have no complaints whatsoever. Just keep up the good work! We are able to offer our users value-added features that significantly help them in making well-informed decisions.

Mark Brett Textbook Manager - Ubeinc

Regarding what I like most in PromptCloud, I would say it's the ability to source valuable information on a daily basis. This consistent access to up-to-date data is incredibly important to us. We are able to offer our users value-added features that significantly help them in making well-informed decisions.

Sarthak Joshi Senior Technical Support Analyst - Finosauras

Promptcloud has been a reliable and useful service for us to track product changes in major retailers. They're always easy to work with and have helped us to better understand competitors' promotional strategies and stay across new product trends in our category.

Jeremy Attinger Head of Commercial Insights - V2food

Working with Prompt Cloud we’ve been particularly impressed by how closely they’ve listened to our feedback, going the extra mile to sort out problems and amend processes to achieve 100% client satisfaction. They are always available when we need them and respond very quickly, immediately fixing any data discrepancies flagged to them.

Sarah Product Manager - Exodus Pvt

I appreciate the depth of partnership we have with Promptcloud, who take the time to understand our requirements and are able to adapt to changes to those when required. They consistently deliver good quality data for our needs.

Chief Operating Officer Leading consumer insights platform

What I value most: open lines of communication and swift response times, you are amazing. You’re super responsive and never leave us hanging on any issues. And that’s so important!

Head of Data & Delivery Leading consumer insights platform

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 (10k+ Employees)

PromptCloud is extremely attentive to Customer’s needs, responding quickly to inquiries & delivering quick turnaround times for new feature & product requests.

Manager of Engineering A data-driven investment management platform (1k-5k Employees)

1. Crawl reliability 2. Quick turn around time to fix / adjust the crawls when issues arise 3. No-frills reliable service at a very good price.

Advanced Analytics ALAC Strategy Team Global leader - Consumer Electronics (10000+ Employees)

It's been an amazing journey with PromptCloud over the last 1.5 years. The team's attention to detail and quick turnaround time in terms of addressing any new requirements or issues while still maintaining the quality is highly appreciated.

Pricing & Revenue Analytics Global leader - Travel and Leisure (1k-5k Employees)

I have used PromptCloud for my business, and was very happy with the experience. PromptCloud’s customer support was excellent and they worked with me to ensure the data harvested was exactly what I needed.

Sara Young Marketing With Sara

Promptcloud has provided us with an excellent data quality for many years. They are our first web scraping solution when it comes to getting accessible data from the internet. I highly recommend them, they are indeed the best.

Neil Griffin Director of Data Operations

PromptCloud provides an excellent data quality service at highly competitive pricing. Their web scraping service quality allowed our engineers to concentrate on the projects closer to the core of the business.

Guy Champniss VP Insights at Enervee

Looking for a data extraction service built around your exact requirements?

Not a tool you have to learn to operate. Share your requirements and see real output before committing to anything.

Frequently asked questions

The questions enterprise teams ask before deciding.

How does web scraping work with PromptCloud?

You share the sites and fields you need, we return sample data for review, then build and run the crawls once you approve the schema. Data is delivered to your API or storage of choice.

How is this different from a self-serve scraping tool or API?

A tool gives you infrastructure you still have to operate: writing extraction logic, watching for failures, fixing things when a site changes. With PromptCloud, we own that operation. You receive data, not a dashboard to manage.

What happens when a target site changes its layout or adds a new block?

Our engineering team monitors for it and repairs the extractor before your next scheduled delivery. You do not find out through missing data.

How long does it take to get data after I share requirements?

Sample data based on your specific requirements typically comes back within days. Full-scale delivery timing depends on the complexity and number of sources.

What formats and delivery methods are supported?

JSON, XML, or CSV through our API, or delivered directly to FTP, SFTP, AWS S3, Azure, Box, or Google Drive.

How do you handle data security and compliance?

Data handling follows ISO 27001-aligned practices, and every engagement is scoped with compliance and site terms in mind from the start, not added on afterward.

Is web scraping legal?

Yes, when done correctly. Our crawls are built with compliance and site terms in mind as part of the process, not as an afterthought.

Do you only work with recurring feeds, or one-time projects too?

Recurring feeds are where the model earns its value most, but one-time enterprise-scale pulls are supported too.

Can you handle multi-region or geo-specific sources?

Yes. Multi-region and geo-specific site variants are handled as part of the standard build, not treated as a special case.

Is there a minimum engagement size?

Engagements are scoped to the data you need, not a fixed minimum. Smaller enterprise pilots are common before scaling to a full recurring feed.

Do you work across all these industries, or just a few?

PromptCloud is not locked to a single vertical. The same managed process applies across retail, finance, HR, automotive, legal, logistics, real estate, and travel, among others. Fields and sources change, the model does not.