Normalized procurement records
Forecast, opportunity, award, supplier, and change records are mapped into documented schemas with stable identifiers and explicit source context.
WebTruffle
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Procurement intelligence data
Public procurement datayour systems can use.
WebTruffle turns public U.S., EU, and UK tender notices plus U.S., EU, and UK contract awards into normalized opportunity, award, supplier, contract, history, and change records. Start with the free editions; add the sources, history, fields, qualification rules, and delivery your workflow needs.
Need a different recurring dataset? See managed scraping beyond procurement.
Founders worked with
Before WebTruffle, across web scraping and quality assurance.
Procurement intelligence
Follow opportunities, awards, suppliers,and material changes.
Three free, ungated procurement datasets show the collection, normalization, history, and provenance model in public. Use them directly, or use the documented editions to define the gap a tailored feed must close.
DHS · Energy · Education · Justice
US federal procurement forecasts
Daily snapshots of planned requirements from four official agency forecast systems, with observed changes and explicit coverage limits.
US federal · EU · UK procurement
Government tenders & RFPs
Normalized opportunity notices from SAM.gov, TED, Find a Tender, and Contracts Finder, with current, history, change, and market-summary products.
US prime awards · public suppliers
US federal contract awards
USAspending prime award summaries shaped into award, supplier, and award-recipient products with explicit cumulative-value semantics.
From public records to your workflow
You get the procurement signal.We own the data operations.
No source-specific collectors, schedules, validation rules, history reconstruction, or ordinary source-change fixes for your team to own. You receive procurement data mapped to an agreed schema while one accountable team operates the feed.
Delivered on schedule
Receive the agreed procurement dataset daily, weekly, monthly, or on the collection cadence your workflow needs.
Material changes made explicit
History and change products make amendments, status changes, and newly published records easier to detect and route.
Named technical owners
Every feed has clear engineering and QA ownership from scoping through production.
Managed scraping beyond procurement
Need a different recurring dataset?We can operate that feed too.
For adjacent public or client-authorized sources, WebTruffle can scope, extract, normalize, validate, deliver, and maintain a custom feed without a scraping platform or contractor chain for your team to manage.
Discuss another data feed→Sources to raw records
Collect
Custom scraper development
Custom extraction workflows built around your target sources, field schema, navigation paths, and collection volume.
Recurring data feeds
Scheduled web data collection from one or multiple sources for analytics, research, operations, or data products.
Raw records to accepted data
Shape
Cleaning and normalization
Standardized dates, currencies, units, categories, and identifiers mapped into one dependable schema.
Data quality assurance
Acceptance criteria defined before production, with automated validation and manual QA for accuracy, freshness, and edge cases.
Validated data to your workflow
Operate
Monitoring and maintenance
Run monitoring, retries, anomaly alerts, schema-drift detection, and maintenance for routine source changes within the agreed scope.
Delivery and integration
Receive CSV or JSON files through Microsoft Azure Blob Storage, Amazon S3, or a tailored dashboard.
Other managed-data use cases
The same operating disciplinein another market.
Procurement intelligence is the primary product. These adjacent use cases apply the same schema, quality, delivery, and maintenance standards to other recurring data needs.
Product, price & stock monitoring
Track catalogs, specifications, sellers, prices, promotions, ratings, availability, and assortment changes.
E-commerce · Retail · Marketplaces
Competitor & market intelligence
Monitor launches, offers, locations, reviews, listings, and the public signals shaping your market.
Research · Strategy · Monitoring
Real estate & listing data
Aggregate frequently changing listings with standardized fields, timestamps, deduplication, and history.
Real estate · Aggregators · Portals
Job postings & labor-market data
Collect public job postings for aggregation, workforce analysis, labor-market research, and talent intelligence.
Job boards · HR tech · Research
Public business & directory data
Build consistent company, location, and directory datasets from fragmented public sources.
Directories · Company data · Enrichment
Operational data feeds
Deliver public or authorized web data into dashboards, reports, applications, and internal systems on a recurring schedule.
Custom feeds · Cloud delivery · Dashboards
How projects start
Scope it. Prove it.Run it.
We agree on the sources, schema, acceptance criteria, delivery, and ownership before production begins.
Scope
Define the feed
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.
Pilot
Validate the approach
For higher-risk work, we produce a representative sample against an agreed schema and acceptance criteria before full production.
Operate
Launch the managed feed
We schedule delivery, monitor feed health, investigate failures, and maintain the workflow as sources change within the agreed scope.
Engineering and QA from day one
Quality is not the final step.It is the definition of done.
Automation catches routine failures; experienced QA challenges the edge cases. Failed records can be flagged, quarantined, retried, or reported according to the project specification.
Completeness
Required-field coverage
Missing and null-rate checks
Validity
Data types and formats
Allowed values and ranges
Feed health
Duplicate and record-count anomalies
Freshness and delivery timing
Source fidelity
Schema-change detection
Source-to-output sampling
The experience behind WebTruffle
Built on web engineering.Strengthened by QA.
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.
Engineering & data extraction
Web software developmentWeb scrapingData extraction pipelines
Sixteen years building production web systems, including six years focused on custom scraping workflows and dependable data extraction pipelines.
Quality assurance
Manual quality assuranceAutomated quality assurance
Ten years combining hands-on exploratory testing with automated checks to uncover broken assumptions, regressions, and edge cases.
Procurement feed pricing
Define the procurement gap.Prove it before production.
Start with the free public editions and a requirement review. Use a representative paid pilot when the gap needs proof, then move to a managed feed only after the coverage and output are clear.
Procurement requirement review
Free
A focused assessment of the markets, sources, records, fields, cadence, delivery, and gaps behind your procurement use case.
Coverage fit · Key risks · Recommended next step
Paid procurement pilot
From €750 + VAT
A one-time setup fee that validates the hardest assumptions with representative procurement records, an agreed schema, and sample output.
No second setup fee when the same agreed scope moves into a managed feed
Managed procurement feed
From €1,000/month + VAT
A recurring procurement feed operated end to end and billed at the end of each service month: collection, 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.
FAQ
Procurement data first. The practical details answered.
Understand what is free, when a managed procurement feed helps, and where broader managed scraping still fits.
What is government procurement intelligence?+
Government procurement intelligence turns public opportunity, award, supplier, and change records into structured evidence for market research, qualification, product features, and operational workflows. The useful layer is not just collecting notices; it is preserving their geography, lifecycle, identifiers, provenance, and material changes.
Can I use the free procurement data without contacting WebTruffle?+
Yes. The public forecast, tender, and contract-award editions are ungated and include documented downloads and previews. They are designed to be useful on their own and to show the data model before you consider a tailored feed.
When do I need a managed procurement feed?+
A managed feed is useful when the free edition does not cover the sources, history, fields, qualification rules, cadence, or delivery your workflow needs. We scope that gap, validate it with a representative sample when appropriate, and operate only the agreed extension.
Do you also provide managed web scraping outside procurement?+
Yes. Procurement intelligence is WebTruffle’s primary product, while managed scraping remains available for adjacent public or client-authorized data requirements. We can scope recurring feeds for products, prices, markets, listings, jobs, business directories, and operational sources.
Can you scrape any website?+
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.
How do you verify data quality?+
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.
What happens when a website changes?+
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.
Can you take over an existing scraper?+
Yes. We can assess an existing scraper or feed, identify reliability and quality gaps, and recommend whether it should be stabilized, rebuilt, or replaced.
What do I receive from the free feasibility review?+
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.
How do the setup fee and monthly price work?+
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.
Who owns the data and the scraper code?+
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.
Where do you work and how can data be delivered?+
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.
Start with a procurement requirement
Define the market.Prove the feed.
Procurement requests capture the market, geography, intended use, timing, and delivery requirement so the sample is genuinely useful. General managed-data enquiries can still use the shorter contact path.
Need billing, customer support, privacy, security, or something else? Use the general contact form.
Preparing the requirement form
Tell us what the data needs to do.
Loading the relevant public-dataset context and delivery questions…
No generic sales deck. If the project is not a good fit, we will say so.