Contact information

PromptCloud Inc, 16192 Coastal Highway, Lewes De 19958, Delaware USA 19958

We are available 24/ 7. Call Now. marketing@promptcloud.com
Crunching data since 2009

Partner with PromptCloud for managed enterprise web data

PromptCloud is a pioneer in web scraping solutions built for enterprise applications. We have been crunching data since 2009 for clients across prominent geographies and industries, and we welcome mutually beneficial partnerships with companies in data analytics, market research and consulting.

Since 2009

Delivering web data for enterprise applications

Fully managed

From crawler setup to monitoring

Enterprise-level

Handles large-scale applications

Partnership request

Share your company details and requirements so we can respond to your inquiry.
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Who we partner with

We are happy to be your web scraping partner if you belong to one of these categories.

Companies

3 categories

Data science and analytics

Market research

Consulting

Individuals

2 categories

Journalists and media personnel

Big data influencers

Why choose PromptCloud?

Fully managed service

Every aspect of extraction, from crawler setup to monitoring, is handled by our extensive infrastructure.

Highly customizable

The solution adapts to requirements of varying nature, such as dynamic websites and high delivery frequency.

Scalable for enterprise-level applications

A well-evolved technology stack that handles large-scale applications effortlessly.

What PromptCloud manages for you

The exact scope is agreed per project. These are the operating layers a production data feed normally needs.
Service pipeline / project config
Monitored
SourcesHTMLJS pagesListings
crawl.sources()
Running
extract.fields()
Mapped
normalise.schema()
Applied
validate.records()
Checked
monitor.changes()
Active
DeliveryAPIS3SFTP
✓ schema rules configured
✓ source changes monitored
✓ delivery schedule agreed

Crawler development

Collection logic built for the approved public sources, page structures and access conditions.

Extraction and normalisation

Required fields mapped into a consistent schema with agreed cleaning and transformation rules.

Quality checks

Project-specific validation for field presence, data types, duplicates, record counts and anomalies.

Delivery setup

Data prepared in the required format and sent through the agreed endpoint and schedule.

Production monitoring

Pipeline runs, source changes and delivery issues monitored against the agreed project scope.

Maintenance and support

Extraction rules updated when approved sources change, with an agreed issue-handling process.

From requirement to production feed

Each project starts with a defined source list and schema. The pipeline is tested with a sample before the approved configuration moves into production.
1

Define scope

Sources, fields, volume, frequency, history and intended use.
2

Check feasibility

Source access, page behaviour, coverage and project constraints.
3

Build crawlers

Collection logic configured for the approved source list.
4

Map the schema

Fields extracted, cleaned and structured to specification.
5

Validate sample

Example records reviewed before production approval.
6

Run and maintain

Scheduled delivery, monitoring and source-change maintenance.

What a managed pipeline can collect

The source list and schema are defined for each project. These are common record types, not fixed packages.

Product and pricing

Prices, promotions, stock, sellers and product attributes.

Listings and directories

Property, business, location and marketplace records.

Reviews and discussions

Ratings, review text and public conversation data.

News and public records

Articles, notices, filings and public event information.

Job postings

Roles, employers, locations, skills and posting details.

Custom multi-source records

Fields from several source types mapped into one schema.

Delivered to your stack

Formats
JSONCSVXML
Delivery methods
APIAmazon S3SFTPCloud storage
Every source and requested field is reviewed for feasibility and compliance before a commitment is made.

Partnership questions

Companies in data science and analytics, market research and consulting, and individuals such as journalists, media personnel and big data influencers.

PromptCloud builds, runs, monitors and maintains the collection pipeline, covering source setup, extraction rules, schema mapping, quality checks, monitoring, maintenance and scheduled delivery.

Publicly accessible websites such as marketplaces, listings, directories, reviews, news sources and public records. Every source and requested field is reviewed for feasibility and compliance before a commitment is made.

Common formats include JSON, CSV and XML. Delivery can be configured through an API, Amazon S3, SFTP, cloud storage or another agreed workflow.

Pricing depends on source complexity, number of sources, record volume, fields, refresh frequency, historical requirements, delivery method and support scope. PromptCloud reviews these inputs before preparing a commercial proposal.

Your name, company email, company name, industry and requirements. The partnership request form at the top of this page collects all of these.

Start a partnership conversation

Share your company details and requirements so we can respond to your inquiry.

Submit Requirement