Clean, validated data
Fields, formats, and quality rules are agreed before production. Output arrives normalized, deduplicated, and ready for your workflow.
WebTruffle is a managed web scraping service for teams that need dependable recurring data, not another tool to operate. One accountable team handles engineering, QA, monitoring, maintenance, and delivery—you receive clean, validated data on schedule.
Before WebTruffle, across web scraping and quality assurance.
No scraper code, schedules, alerts, proxy infrastructure, or source-change fixes for your team to own. You receive data mapped to an agreed schema while one accountable team runs the collection.
Fields, formats, and quality rules are agreed before production. Output arrives normalized, deduplicated, and ready for your workflow.
Receive the agreed dataset daily, weekly, monthly, or on the collection cadence your workflow needs.
When a run or validation check fails, we investigate and restore the agreed feed within scope.
Every feed has clear engineering and QA ownership from scoping through production.
One accountable service for extraction, validation, delivery, and ongoing maintenance—without a scraping platform or contractor chain for your team to manage.
Request a feasibility review→Custom extraction workflows built around your target sources, field schema, navigation paths, and collection volume.
Scheduled web data collection from one or multiple sources for analytics, research, operations, or data products.
Standardized dates, currencies, units, categories, and identifiers mapped into one dependable schema.
Acceptance criteria defined before production, with automated validation and manual QA for accuracy, freshness, and edge cases.
Run monitoring, retries, anomaly alerts, schema-drift detection, and maintenance for routine source changes within the agreed scope.
Receive CSV or JSON files through Microsoft Azure Blob Storage, Amazon S3, or a tailored dashboard.
Different decisions need different schemas, collection rhythms, and quality rules.
Track catalogs, specifications, sellers, prices, promotions, ratings, availability, and assortment changes.
E-commerce · Retail · Marketplaces
Monitor launches, offers, locations, reviews, listings, and the public signals shaping your market.
Research · Strategy · Monitoring
Aggregate frequently changing listings with standardized fields, timestamps, deduplication, and history.
Real estate · Aggregators · Portals
Collect public job postings for aggregation, workforce analysis, labor-market research, and talent intelligence.
Job boards · HR tech · Research
Build consistent company, location, and directory datasets from fragmented public sources.
Directories · Company data · Enrichment
Deliver public or authorized web data into dashboards, reports, applications, and internal systems on a recurring schedule.
Custom feeds · Cloud delivery · Dashboards
We agree on the sources, schema, acceptance criteria, delivery, and ownership before production begins.
We assess the sources, fields, volume, cadence, delivery, access conditions, intended use, and major risks—and recommend an official API when it is the better route.
For higher-risk work, we produce a representative sample against an agreed schema and acceptance criteria before full production.
We schedule delivery, monitor feed health, investigate failures, and maintain the workflow as sources change within the agreed scope.
Automation catches routine failures; experienced QA challenges the edge cases. Failed records can be flagged, quarantined, retried, or reported according to the project specification.
Required-field coverage
Missing and null-rate checks
Data types and formats
Allowed values and ranges
Duplicate and record-count anomalies
Freshness and delivery timing
Schema-change detection
Source-to-output sampling
Our founders bring complementary experience across the full lifecycle of a managed data feed: building the web software, extracting and structuring the data, and challenging the result before it reaches you.
Sixteen years building production web systems, including six years focused on custom scraping workflows and dependable data extraction pipelines.
Ten years combining hands-on exploratory testing with automated checks to uncover broken assumptions, regressions, and edge cases.
Start with a free technical-fit review, use a representative paid pilot when needed, and move to a managed feed only after the approach and output are clear.
A focused technical-fit assessment of the proposed sources, fields, cadence, delivery, and major risks.
Technical fit · Key risks · Recommended next step
A one-time setup fee that validates the hardest assumptions with a representative source, agreed schema, and sample output.
No second setup fee when the same agreed scope moves into a managed feed
A recurring feed operated end to end and billed at the end of each service month: extraction, validation, monitoring, delivery, and maintenance.
Scheduled delivery · Quality monitoring · Ongoing maintenance
Prices exclude VAT. Final pricing depends on source complexity, frequency, volume, transformations, quality requirements, delivery, and support expectations.
A managed feed should be easy to understand before it becomes important to your business.
A managed web scraping service covers the complete data-collection operation. WebTruffle builds and runs the scrapers, handles scheduling and infrastructure, validates the output, delivers the data, monitors failures, and maintains the pipeline when websites change.
A scraping API usually gives developers fetching infrastructure. Your team still designs the workflow, integration, quality checks, and maintenance around it. WebTruffle takes responsibility for the agreed end-to-end data feed. If an official API meets the requirement better, we will recommend it.
No provider can responsibly promise that. We assess technical feasibility, access conditions, the type of data, intended use, and relevant legal or contractual constraints. We focus on public or client-authorized data and may decline projects that create unacceptable risk.
We agree on a field schema and acceptance criteria, then combine automated checks with manual QA. Checks can cover required fields, data types, allowed values, duplicates, record counts, freshness, schema changes, and samples compared with the source.
Managed plans include monitoring and maintenance for ordinary source changes within the agreed scope. If a source removes the data or changes access rules fundamentally, we assess the impact and agree on the next step with you.
Yes. We can assess an existing scraper or feed, identify reliability and quality gaps, and recommend whether it should be stabilized, rebuilt, or replaced.
After a short scoping conversation, you receive a technical-fit assessment covering the proposed sources, fields, cadence, delivery method, and key risks, plus our recommended next step. We may suggest an official API, a paid pilot, a production scope—or tell you the project is not a good fit.
The paid pilot starts at €750 + VAT and acts as the one-time setup fee for the agreed scope. If that scope moves into a managed feed, there is no second setup charge. The managed service starts at €1,000/month + VAT and is billed at the end of each service month.
Your delivered project data remains yours, subject to applicable source and third-party rights. WebTruffle retains its scraper code, reusable libraries, internal tooling, and technical know-how. At offboarding, we provide the agreed final data export and remove project access according to the contract and retention requirements.
WebTruffle works with customers worldwide. Delivery can be arranged as CSV or JSON files through Microsoft Azure Blob Storage, Amazon S3, or a tailored dashboard, depending on the agreed project scope.
Four quick details—no project questionnaire. We’ll arrange a short scoping conversation, then share the technical fit, key risks, and our recommended next step. Business enquiries received on weekdays are normally answered the same business day.
Need billing, customer support, privacy, security, or something else? Use the general contact form.
No generic sales deck. If the project is not a good fit, we will say so.