# Web Scraping Service
# Reliable web data without running the scrapers yourself.
PromptCloud builds, operates and maintains custom web scraping pipelines for recurring enterprise data needs. You define the sources, fields, frequency and delivery method. We manage the collection process.
[ Talk to a data expert ](https://www.promptcloud.com/contact/) [ See what you can validate ](#evidence) [  ](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) - Custom source list
- Defined schema
- Scheduled delivery
- Ongoing maintenance
A managed web scraping service pipeline from public sources through crawling, extraction, validation and monitoring to enterprise delivery endpoints. SERVICE PIPELINE / PROJECT CONFIGMONITORED SOURCESHTMLJS pagesListings 01crawl.sources()RUNNING 02extract.fields()MAPPED 03normalise.schema()APPLIED 04validate.records()CHECKED 05monitor.changes()ACTIVE DELIVERYAPIS3SFTP schema rules configuredsource changes monitoreddelivery schedule agreed 14+ years
delivering enterprise web data Built for your scope
sources, fields and cadence Managed in production
monitoring and maintenance Delivered to your stack
agreed format and endpoint ## When should you use a managed service?
The answer depends on how important the feed is, how often it must run and who will own failures when websites change.
### A managed service is a strong fit when
Your team needs the data, but does not want to build and operate the collection infrastructure. - Data must arrive on a recurring schedule
- Multiple or changing sources need to be maintained
- The schema must match downstream systems
- Quality failures affect reporting, products or models
- You need a named team responsible for operations
### A tool or API may be a better fit when
Your developers want direct control and are prepared to own extraction logic, quality and maintenance.
- The requirement is small or one time
- The output can be reviewed manually
- Your engineering team wants per-request infrastructure
- The scraping capability is core intellectual property
- Your team already operates monitoring and recovery
## One accountable workflow from scope to delivery.
Each project starts with a defined source list and schema. The pipeline is tested with a sample before the approved configuration moves into production.
01 ### Define scope
Sources, fields, volume, frequency, history and intended use.
02 ### Check feasibility
Source access, page behaviour, coverage and project constraints.
03 ### Build crawlers
Collection logic configured for the approved source list.
04 ### Map the schema
Fields extracted, cleaned and structured to specification.
05 ### Validate sample
Example records reviewed before production approval.
06 ### Run and maintain
Scheduled delivery, monitoring and source-change maintenance.
## What PromptCloud manages for you.
The exact scope is agreed per project. These are the operating layers normally required for a production data feed.
01 ### Crawler development
Collection logic built for the approved public sources, page structures and access conditions.
02 ### Extraction and normalisation
Required fields mapped into a consistent schema with agreed cleaning and transformation rules.
03 ### Quality checks
Project-specific validation for field presence, data types, duplicates, record counts and anomalies.
04 ### Delivery setup
Data prepared in the required format and sent through the agreed endpoint and schedule.
05 ### Production monitoring
Pipeline runs, source changes and delivery issues monitored against the agreed project scope.
06 ### Maintenance and support
Extraction rules updated when approved sources change, with an agreed issue-handling process.
## Review the output before you commit.
The evaluation should focus on the proposed data, not general claims about scraping scale or accuracy.
01 ### Source feasibility
Which requested sources and fields can be included. 02 ### Sample records
What the fields, values and output structure look like. 03 ### Validation rules
Which checks will be applied before delivery. 04 ### Delivery contract
Format, endpoint, frequency and issue process. [ Request a sample for your schema ](https://www.promptcloud.com/contact/) **Illustrative output record**SAMPLE STRUCTURE Final fields and validation rules are configured for each project.
**source\_url**example.com/item/10482present**record\_id**PC-10482unique**listed\_price**129.00decimal**availability**in\_stockallowed value**captured\_at**2026-09-03 11:30:45timestamp**quality\_flag**validatedpassed ## Managed service, scraping API or in-house build?
All three can work. The practical difference is who owns crawler logic, quality, maintenance and delivery operations.
| Evaluation area | PromptCloud managed service | Scraping API or tool | In-house build |
|---|---|---|---|
| Who builds extraction logic? | PromptCloud | Your developers | Your engineering team |
| Who maintains source changes? | PromptCloud within scope | Your developers | Your engineering team |
| Output | Custom structured feed | Page content or API response | Defined by your team |
| Quality checks | Configured for the agreed schema | Built by your team | Built by your team |
| Best suited for | Recurring data tied to business systems | Developer-led collection with internal ownership | Teams treating scraping as a core capability |
[Calculate the cost of building in-house →](https://www.promptcloud.com/web-scraping-build-vs-buy/)## What can a managed pipeline 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. [Explore all business solutions →](https://www.promptcloud.com/solutions/)## What we confirm before making a commitment.
Source conditions vary. Coverage, frequency, quality checks and support terms should be agreed for the actual project rather than presented as universal guarantees. [Read what PromptCloud does not collect →](https://www.promptcloud.com/data-we-dont-crawl-and-scrape/)### Source scope
The approved domains, geographies and requested fields. ### Expected coverage
What can reasonably be collected from those sources. ### Delivery schedule
The agreed run frequency, format and destination. ### Quality controls
The checks, thresholds and escalation process used for the project. ### Change handling
How source changes, failures and new requirements will be managed. ## Start with relevant examples.
Use the case-study library to review how PromptCloud has handled different source types, schemas and delivery requirements.
Data Delivery ### Recurring feeds
Examples where web data supports products, reporting or operational workflows. [Browse case studies →](https://www.promptcloud.com/case-studies/) Complex Sources ### Custom extraction
Examples involving changing websites, custom fields and source-specific collection logic. [Browse case studies →](https://www.promptcloud.com/case-studies/) Quality Operations ### Managed maintenance
Examples where monitoring and ongoing support are part of the data requirement. [Browse case studies →](https://www.promptcloud.com/case-studies/)## Managed web scraping services explained.
What is a managed web scraping service?A managed web scraping service builds, runs, monitors and maintains the collection pipeline for you. The provider delivers structured data on an agreed schedule instead of giving your team a scraping tool to operate.
How is managed web scraping different from a scraping API?A scraping API gives developers infrastructure for fetching pages or responses. A managed service also owns source setup, extraction rules, schema mapping, quality checks, monitoring, maintenance and scheduled delivery.
Which sources can PromptCloud collect from?PromptCloud works with 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.
How is web data quality checked?Checks are configured for the agreed schema and can include field presence, data types, duplicates, freshness, record counts, anomalies and schema changes. The exact checks depend on the project.
How can the data be delivered?Common formats include JSON, CSV and XML. Delivery can be configured through an API, Amazon S3, SFTP, cloud storage or another agreed workflow.
How is managed web scraping priced?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.
## Teams that made the switch
What enterprise and mid-market engineering and data leaders say after handing off scraper operations to PromptCloud.
## Tell us what the feed needs to contain.
We will review the sources, fields and expected schedule before recommending an approach. Submit Your Requirement