01 · outcome
You need a recurring business record.
The workflow consumes normalized entities and fields—not pages that still require extraction work.
Record-first
Fully operated data delivery
Managed Data for production-ready web data.
Define the sources, schema, quality rules, cadence, and destination. WebScrapingAPI builds and operates the workflow, then delivers quality-checked records into your systems.
- Buyer-defined Purpose, scope, schema
- Sample-first Records before launch
- Fully operated Collection through QA
- Delivery-ready Format and destination
Best-fit signals
Choose an operated program when the record matters more than the collection stack.
Managed Data is built for teams that can define a useful outcome but do not want to own the ongoing access, extraction, monitoring, maintenance, and delivery workload.
02 · specificity
The sources and schema reflect your use case.
Your team has an approved source scope and a record model that is more specific than a general catalog asset.
Buyer-defined
03 · continuity
Source changes cannot become your maintenance queue.
You want one team accountable for the operated collection and the health of the delivered record.
Maintained
04 · handoff
Data must arrive ready for a known destination.
Format, cadence, organization, and acceptance checks need to fit an existing analytics, application, or data-platform workflow.
Delivery-ready
Six-part data brief
Define what a usable delivery means before collection begins.
The brief connects the business decision to the public sources, record shape, quality rules, timing, and receiving system. It becomes the operating reference for sample design and delivery.
- 01
Business purpose
The workflow, users, and decision the records support.
- 02
Approved public sources
Domains, page families, markets, and the boundaries of useful scope.
- 03
Record schema
Entities, identifiers, fields, types, relationships, and missing states.
- 04
Quality rules
Required fields, validation logic, freshness markers, and review thresholds.
- 05
Cadence
Initial load, recurring timing, and whether each delivery is full or incremental.
- 06
Destination
Format, organization, receiving environment, and post-delivery acceptance checks.
Sample-first launch
Prove the record in its real workflow, then move into operation.
A deliberate launch sequence turns the brief into sample records, captures acceptance feedback, and establishes the production workflow around a record your team can use.
- 01·align
Review the brief.
Connect business purpose, approved sources, schema, quality, cadence, and destination.
- 02·design
Build the collection and record model.
WebScrapingAPI maps source access, extraction, normalization, checks, and delivery.
- 03·sample
Prepare representative sample records.
Inspect field shape, missing states, source context, and quality-rule results.
- 04·accept
Test the downstream fit.
Your team reviews the sample in the receiving system and returns prioritized feedback.
- 05·operate
Launch recurring delivery.
The accepted configuration moves into monitored collection, maintenance, QA, and handoff.
Your launch path is shaped around source scope, record design, cadence, and the receiving workflow.
Operated lifecycle
One operating team stays with the data from source access to delivery.
WebScrapingAPI operates access and collection, extraction and normalization, monitoring, source-change maintenance, quality assurance, and delivery for the approved workflow.
- AccessSource signals
Collect the approved scope.
Run source access and collection against the selected public pages and cadence.
- TransformSchema signals
Extract and normalize records.
Map source values into the accepted entity, field, type, and context model.
- AssureQuality signals
Apply record-quality checks.
Evaluate required fields, types, expected states, duplicates, and delivery-level checks.
- MaintainChange signals
Respond to source changes.
Investigate collection or record drift and maintain the operated workflow.
- DeliverDelivery signals
Prepare the accepted handoff.
Organize records, version the schema, attach delivery context, and send them downstream.
Collection health and delivered-record quality stay together.
WebScrapingAPI handles quality monitoring, source-change maintenance, extraction updates, normalization, record checks, and the selected delivery flow.
- Access and collection execution
- Extraction and normalization maintenance
- Run and record-quality investigation
- Delivery preparation and operational follow-through
The purpose and acceptance decision stay with the data user.
Your team defines the business purpose, approved source scope, sample acceptance, receiving system, and decisions made with the delivered records.
- Business question and source boundaries
- Fields and conditions that make a record useful
- Sample review in the downstream workflow
- Storage, access, analysis, and business decisions
Spécifications de livraison
Make every handoff predictable to the receiving system.
Receive JSON, CSV, or Parquet at the selected secure destination. The specification keeps record shape, file organization, version context, cadence, and acceptance checks inspectable.
JSON
Nested records and context for application or document workflows.
Structured objects
VCS
Flat, familiar tables for analysis, warehouses, and controlled imports.
Tabular files
Parquet
Typed columnar files for analytical processing and data-lake ingestion.
Columnar files
Use cases
Operate the data layer behind a defined business decision.
Managed Data is strongest when the source scope, record, quality conditions, and delivery workflow are specific to how a team researches, compares, monitors, or builds.
Products, properties, places, and trips.
Keep changing offers, attributes, availability, and location context in a stable receiving model.
Results, stories, posts, media, and public records.
Normalize content and observation context across a selected source, query, topic, or publisher scope.
Résultats de recherche et SERPsQueries, ranks, result types, domains, and marketsNouvelles et articlesStories, publishers, authors, dates, and categoriesLes réseaux sociauxPublic posts, profiles, engagement, and observation timeImages, vidéo et audioMedia metadata, source context, and linked entitiesDonnées vidéo pour l'IAScenario-focused clips, audio, transcripts, metadata, and recurring deliveryPublic records & directoriesSelected records, identifiers, dates, and source context
Jobs and financial-market observations.
Deliver time-contextualized entities and events into workforce, research, and analytical workflows.
Adjacent products
Choose the handoff and operating model your team needs.
Start with whether the workflow needs on-demand structured results, prepared-dataset discovery, recurring scheduled delivery, historical snapshots, or a bespoke program operated end to end.
Request basedYour application decides what to request and when.ExplorePrepared dataset marketplaceDiscover and evaluate prepared data.ExploreRecurring deliveryKeep an established data scope flowing.ExploreHistorical pagesReceive stored pages with capture context.ExploreFully operatedBrief, sample, operation, maintenance, and handoff.Current product
API de données
Request maintained structured results for supported source targets.
Place de marché de données
Find an available collection and inspect its schema, source scope, and representative samples.
Flux de données
Recevoir une collecte structurée définie à une cadence et à une destination programmées.
Archives web
Find available public-page snapshots across a chosen time window.
Données gérées
Define a custom record and delivery outcome that WebScrapingAPI operates.
Program pricing
Price the operated workflow behind the usable record.
Managed Data pricing follows the scope and operating design. A useful discussion begins with the six-part brief and the conditions that affect collection, record production, maintenance, and delivery.
Bring the brief
Start with the outcome and a representative source set.
WebScrapingAPI maps the brief to the collection design, sample plan, ongoing operations, and delivery path that need to be sized.
Explore Managed Data pricingFAQ
Questions to answer before an operated data program.
Use the brief, sample, ownership model, and delivery specification to decide whether Managed Data fits the outcome.
What is Managed Data?
Managed Data is a fully operated path from an approved public-source brief to usable recurring records. Your team defines the business outcome and acceptance criteria; WebScrapingAPI designs, runs, monitors, maintains, and delivers the collection workflow.
What should be included in the data brief?
Describe the business purpose, approved public sources, target record schema, quality rules, delivery cadence, and selected destination. Representative source URLs and example records help turn those six decisions into a sample plan.
Can we review data before the recurring workflow starts?
Yes. The launch path is sample first. WebScrapingAPI prepares sample records against the reviewed schema and quality rules, your team reviews them in the intended downstream workflow, and accepted feedback shapes the production configuration.
What does WebScrapingAPI operate?
WebScrapingAPI operates source access and collection, extraction and normalization, quality monitoring, source-change maintenance, and delivery. The team investigates collection and record-quality signals and maintains the operated workflow as approved sources change.
What does our team own?
Your team owns the business purpose, approved source scope, sample acceptance, receiving system, and decisions made with the data. You also identify which fields and quality conditions make a record usable in that downstream context.
How can Managed Data be delivered?
Records can be prepared as JSON, CSV, or Parquet and sent to the selected secure destination. The delivery specification can define file organization, schema version, cadence, manifests, and acceptance checks for each handoff.
How is Managed Data different from Data API, Data Marketplace, and Data Feeds?
Data API returns supported source-specific structured results on request. Place de marché de données helps teams discover and sample prepared collections, while Flux de données provides recurring scheduled delivery for a defined structured scope. Managed Data fits a bespoke source, schema, quality, cadence, and delivery outcome that WebScrapingAPI operates end to end.
What shapes Managed Data pricing?
Pricing is shaped by source scope, collection volume and cadence, extraction and normalization complexity, quality rules, source-change maintenance needs, delivery format and destination, and the operating support required for the program.
Your data brief
Turn your data brief into an operated delivery path.
Share the purpose, approved public sources, record schema, quality rules, cadence, and destination. We will use the brief to shape the sample and operating design.