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Service · Public procurement data

Government Tender Data Scraping

Notices and awards, deduplicated across portals with incumbents identified.

Government tender data scraping is the automated collection of public procurement information from national, regional and municipal portals — tender notices with deadlines and values, classification codes, contracting authority details, and award notices showing who won at what value — deduplicated across the portals that republish the same notice.

The same contract notice appears on a national portal, a regional portal, an EU-level aggregator and the authority's own website, with different reference numbers and sometimes different deadlines. Deduplication and deadline reconciliation are the work.

Free pilot on your own sources, returned in 48 hours. No card, no trial clock — and you keep the sample data either way.

Cross-portal deduplication Award notices & incumbents Free pilot sample in 48 hours
tender_notices_2026-08-05.jsonl LIVE FEED
{"notice_key":"aw-tnd-2026-441028", "notice_type":"contract_notice", "title":"Provision of managed IT support services", "authority":"Example County Council", "authority_id":"aw-auth-GB-2214", "country":"GB","region":"North West", "cpv_codes":["72500000","72611000"], "procedure":"open", "value_estimate":4200000,"currency":"GBP", "duration_months":48, "published_at":"2026-08-01", "deadline":"2026-09-12T12:00:00+01:00", "deadline_source":"authority_portal", "deadline_conflict":false, "sources_seen":3, "documents":7,"lots":2, "incumbent_probable":{"supplier":"Example IT Ltd", "basis":"prior_award_same_authority_cpv", "confidence":0.81}} {"notice_key":"aw-tnd-2026-398112", "notice_type":"award_notice", "winner":"Example Services Group", "award_value":1875000,"bidders_count":4}
2 of 1,884,700 deduplicated notices · run 2026-08-05T05:00Zdedup ratio 2.7:1 · CPV mapped 96.4% · schema v4.6
Our Data Powers
B2C Marketplace
amazon
D2C + Marketplace
NYKAA
D2C + Marketplace
Walmart
FMCG Marketplace
udaan
Food Delivery
Uber Eats
Quick Commerce
blinkit
Taxi Aggregator
Uber
E-Commerce
Tmall

Key facts at a glance

What it is
Managed collection of public procurement notices and award notices from government portals
Deduplication
The same notice across national, regional and aggregator portals collapsed to one record
Classification
CPV or local equivalent codes mapped, so sector filtering actually works
Deadlines
Reconciled across sources with conflicts flagged rather than silently resolved
Award notices
Winner, award value and bidder counts where published
Incumbent detection
Probable incumbent identified from prior awards, with basis and confidence stated
Refresh
Daily standard; several times daily for time-critical bid pipelines
Who it's for
Bid teams, public sector suppliers, consultancies, market analysts and researchers
2.7:1deduplication ratioraw to canonical
96.4%CPV classification mappedsector filtering works
Deadline conflictsflagged not resolvedyou decide
Incumbentswith basis and confidencenever asserted

Key takeaways

  • What it is: Managed collection of public procurement notices and award notices from government portals
  • Deduplication: The same notice across national, regional and aggregator portals collapsed to one record
  • Classification: CPV or local equivalent codes mapped, so sector filtering actually works
  • Deadlines: Reconciled across sources with conflicts flagged rather than silently resolved
  • Award notices: Winner, award value and bidder counts where published
  • Incumbent detection: Probable incumbent identified from prior awards, with basis and confidence stated

Last verified 5 August 2026 by the Actowiz Solutions Data Engineering team.

Definition

What is government tender data scraping, and why is deduplication the core problem?

Government tender data scraping is the automated collection of public procurement information: contract notices with scope, value and deadlines, prior information notices, classification codes, contracting authority details, tender documents where publicly downloadable, and award notices showing outcomes.

Public procurement is published deliberately — transparency is the point — which makes this one of the more comfortable collection categories. The difficulty is not access. It is that the same notice is published many times.

Why one tender becomes several notices

  • Multi-portal publication. A notice appears on a national portal, a regional or devolved portal, an EU-level or supranational aggregator, and often the authority's own site.
  • Different reference numbers. Each portal issues its own reference, so identity must be reconstructed from content.
  • Corrections and republications. Notices are corrected and reissued, which naive collection reads as new opportunities.
  • Lot-level splitting. Some portals publish each lot separately, others as one notice with lots inside.
  • Deadline discrepancies. Portals genuinely disagree about deadlines, usually because one has not picked up an extension.

Our observed ratio is around 2.7 raw notices per real opportunity. Uncorrected, a bid pipeline appears nearly three times larger than it is, and bid teams waste effort triaging duplicates.

Deadline conflicts: flagged, not resolved

When portals disagree on a deadline, we do not pick one silently. We record all observed deadlines with their sources, flag deadline_conflict, and identify which source is the authority's own where identifiable. A missed deadline because a vendor chose the wrong date is not a risk we will take on your behalf.

What we cannot provide

Competitor bid pricing beyond published award values, evaluation scores where not published, and any pre-tender intelligence. Award notices disclose what a market publishes; the rest is not public.

What we collect

Six categories of public procurement data

Notice monitoring is the largest use case. Award notices and incumbent detection are where strategic value sits.

Contract notices

The opportunity itself, structured.

  • Title, scope and description
  • Estimated value and duration
  • Procedure type and framework indication
  • Lot structure and lot-level detail
  • Publication date and deadlines

Contracting authorities

Who is buying, resolved.

  • Authority name and normalised identity
  • Authority type and level
  • Country, region and locality
  • Publication volume and pattern over time
  • Framework and DPS ownership

Classification & filtering

So sector monitoring actually works.

  • CPV or local classification codes
  • Normalised sector mapping
  • Keyword and scope-based tagging
  • Threshold and regulation regime indication
  • SME suitability indications where published

Documents

The detail bid teams need.

  • Document lists and types
  • Publicly downloadable document capture
  • Specification and ITT availability
  • Clarification and Q&A publications
  • Document addition and revision detection

Award notices & outcomes

What actually happened.

  • Winning supplier and award value
  • Number of bidders where published
  • Award date and contract start
  • Lot-level award splitting
  • Cancelled and unawarded procedures

Incumbency & market structure

The strategic layer.

  • Probable incumbent with basis and confidence
  • Supplier win history by authority and sector
  • Authority spend patterns by category
  • Recompete timing prediction from contract end dates
  • Framework participation over time
Service scope

What the ecommerce data scraping service includes

A managed engagement, not a tool licence. We own the pipeline and everything that breaks in it.

✓ Included in every engagement

  • Cross-portal deduplication to canonical opportunities using content matching
  • All observed deadlines retained with sources, and conflicts flagged not resolved
  • Classification code mapping for language-independent sector filtering
  • Incumbent inference always delivered with basis and confidence score
  • Original notice language retained alongside translation for triage
  • Source discovery, scoping and a written collection plan
  • Free pilot on your own sources before any commitment
  • Full pipeline build, hosting and proxy infrastructure
  • Schema design, validation and sampled human QA on every run
  • Ongoing maintenance when source layouts change — our cost, not yours
  • Delivery to your warehouse, bucket, SFTP or API endpoint
  • Documented methodology and compliance notes for your legal review

× Not included — stated upfront

  • Creating portal accounts to obtain registration-gated documents
  • Competitor bid pricing or evaluation scores where not published
  • Pre-tender intelligence or unpublished authority intentions
  • Named individual contact details from notices
  • Anything behind a login, paywall or credentialed session
  • Personal data beyond a documented lawful basis
  • Licensed third-party datasets we do not hold rights to
  • Guarantees about fields a source simply does not publish
Schema

Tender data fields you receive

Every engagement delivers a documented schema. These are the core fields; the full dictionary runs to 120+ and is agreed during scoping.

Deliverable schema — v4.6 core fields (full dictionary: 120+ fields)
Field Type What it captures Refresh
notice_key string Canonical notice identity after cross-portal deduplication Every run
notice_type enum Contract notice, prior information, award notice, correction or cancellation Every run
authority / authority_id string Contracting authority as published and normalised identity for history joins Every run
cpv_codes / sector array / string Classification codes as published plus normalised sector mapping Every run
value_estimate / currency / duration_months decimal / string / int Estimated contract value, currency and duration where published Every run
published_at / deadline / deadline_source date / timestamp / enum Publication date, deadline and which source that deadline came from Daily
deadline_conflict / deadlines_observed boolean / array Whether sources disagree, and every deadline observed with its source Daily
sources_seen int How many portals carried the notice, retained as a signal of prominence Daily
lots / documents int Lot count and document count, with lot-level detail available Daily
winner / award_value / bidders_count string / decimal / int Award outcome fields where an award notice is published Per award
incumbent_probable object Probable incumbent with the basis for the inference and a confidence score Per notice

Incumbent detection is always delivered with its basis and a confidence score, never as a bare assertion. A wrongly identified incumbent can send a bid team down an entirely wrong strategy, so the reasoning must be inspectable.

Coverage

Portals and jurisdictions we collect from

Procurement portals differ enormously in structure and language. Coverage is built jurisdiction by jurisdiction.

TED (EU)Find a Tender (UK)Contracts Finder (UK)Public Contracts ScotlandSell2WaleseTenders IrelandVergabe portals (DE)BOAMP & PLACE (FR)Plataforma de Contratación (ES)ANAC portals (IT)TenderNed (NL)SAM.gov (US federal)US state and municipal portalsMERX & BuyandSell (CA)AusTenderGeTS & GeBIZ (SG)CPPP & GeM (IN)Etimad (SA)UAE government portalsWorld Bank & MDB procurementUN procurement portalsMunicipal and regional portalsAuthority own-site publications

Some portals require registration to download documents. We collect notice metadata publicly and flag where document access requires registration rather than creating accounts to obtain them. Request a source we don't list →

Markets served

Countries and markets where this service is in highest demand

We deliver into 40+ countries. These are the markets where this particular service is requested most, and the reason demand concentrates there.

Highest-demand markets for this service, and why demand concentrates there
Market Why demand concentrates here
European Union Layered EU, national and regional publication makes deduplication essential; TED plus national portals is the standard scope.
United Kingdom Find a Tender and Contracts Finder alongside devolved portals, with strong award transparency supporting incumbent detection.
United States Federal SAM.gov plus a large fragmented state and municipal landscape, where regional portal coverage drives most of the value.
India, GCC & multilateral banks Fast-growing public procurement with large infrastructure programmes and improving publication discipline.

North America

United StatesCanadaMexico

United Kingdom & Ireland

United KingdomIreland

Western Europe

GermanyFranceNetherlandsBelgiumSpainItalySwitzerlandAustria

Nordics

SwedenNorwayDenmarkFinland

Middle East

United Arab EmiratesSaudi ArabiaQatarKuwaitIsrael

Asia Pacific

SingaporeAustraliaNew ZealandJapanSouth KoreaMalaysiaIndonesiaThailandVietnamPhilippines

South Asia

IndiaBangladeshSri LankaPakistan

LATAM

BrazilArgentinaChileColombia

Africa

South AfricaNigeriaKenyaEgypt

We run production collection across 40+ countries. Coverage depth varies by market and by source, so we confirm what is actually available for your specific markets during scoping rather than claiming uniform global coverage. Ask about a market we don't list →

Who buys this data

Which teams buy public procurement data

Bid teams at public sector suppliers dominate, with consultancies and analysts following.

Head of Bids / Business Development

Public sector suppliers
The problem

Opportunity pipelines are inflated by duplicate notices and full of irrelevant sectors, so triage consumes bid team capacity.

What we deliver

Deduplicated notices filtered to your sector and value thresholds, with deadlines reconciled and conflicts flagged.

Metric that moves

Bid win rate

Capture / Strategy Lead

Large suppliers and primes
The problem

Winning requires knowing the incumbent and the authority's award history before the notice publishes.

What we deliver

Probable incumbent with basis and confidence, plus authority award history by sector and contract end dates for recompete timing.

Metric that moves

Capture rate

Market Analyst

Consultancies and sector bodies
The problem

Public sector market sizing needs award data across jurisdictions on a consistent classification basis.

What we deliver

Harmonised award notices with normalised classification and authority identity, enabling category spend analysis.

Metric that moves

Analysis coverage

SME Growth Lead

Smaller suppliers
The problem

You cannot monitor dozens of regional and municipal portals manually, and that is where SME-suitable contracts sit.

What we deliver

Regional and municipal portal coverage with deduplication and value-threshold filtering to surface accessible opportunities.

Metric that moves

Opportunities identified

Partnership / Teaming Lead

Suppliers and consortia
The problem

Finding teaming partners requires knowing who wins what, where, and with whom.

What we deliver

Supplier win history by authority, sector and value band, with consortium participation where published.

Metric that moves

Teaming success

Policy Researcher

Academics and oversight bodies
The problem

Procurement transparency research needs harmonised, deduplicated data across jurisdictions.

What we deliver

Documented, deduplicated notice and award datasets with classification harmonised and methodology stated.

Metric that moves

Reproducibility

Use cases

How procurement data gets used in practice

Four patterns, with the outcome each is judged on.

Deduplicated opportunity pipeline

Notices are deduplicated across portals to canonical opportunities, filtered by classification, value threshold and geography, with deadlines reconciled and conflicts flagged.

Outcome: Bid pipeline roughly a third the raw volume, with triage effort spent on real opportunities.

Incumbent identification for capture planning

Probable incumbents are inferred from prior awards to the same authority in the same classification, delivered with the basis and a confidence score.

Outcome: Capture strategy informed by likely incumbency rather than developed blind.

Recompete forecasting from contract end dates

Award notices with contract durations are used to project when contracts come up for renewal, building a forward pipeline months or years ahead of publication.

Outcome: Business development engaged with authorities before the notice publishes.

Category spend and market structure analysis

Award notices are harmonised across jurisdictions with classification and authority identity normalised, producing category spend and supplier share analysis.

Outcome: Market sizing and competitor share grounded in published award data.

Engagement examples

Two engagements, anonymised

Clients rarely permit naming. These are real engagement shapes with identifying detail removed, so you can judge whether the work resembles your situation.

Public sector supplier · UK

The bid pipeline was nearly three times larger than reality

Situation

Notices were ingested from several portals without deduplication, so the same opportunity appeared repeatedly and bid triage consumed most of the team's capacity.

What we ran

Cross-portal deduplication to canonical opportunities with classification filtering, value thresholds and deadlines reconciled with conflicts flagged.

Result

Pipeline volume fell to roughly a third, with triage effort redirected to genuine opportunities.

Prime contractor · EU

Capture planning started after notices published

Situation

Business development engaged only once notices appeared, by which point incumbents had months of relationship advantage.

What we ran

Award notice history with contract durations used to project recompete windows, plus probable incumbent inference with basis and confidence.

Result

Engagement began well before publication on projected recompetes, with likely incumbency known.

Examples are anonymised at client request. Named references are available on request under NDA. See published case studies →

The 48-hour sample — run on your sources, not ours

Before you commit to anything, we run this service against your own sources and send you the output. If the coverage isn't there, the sample will show you that too — which is the point. We would rather lose the deal at the pilot than at month three.

  • Real extraction from your actual sources
  • Returned inside two business days
  • Coverage and QA note included
  • You keep the data either way
  • No card, no trial clock
  • Named engineer on the call
Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.
How we engage

Three ways to engage us for this work

Same collection pipeline and same QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

  • Dedicated engineer assigned to your account
  • Site changes fixed by us, not reported to you
  • Scheduled delivery to your warehouse or S3
  • Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

  • On-demand and scheduled endpoints
  • Rate limits agreed to your load profile
  • Sandbox keys for integration testing
  • Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

  • Fixed scope agreed in writing upfront
  • Single delivery with full QA report
  • Methodology documented for your records
  • Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

Build vs buy

Should you build tender collection in-house or hire it as a service?

Portal count and multilingual deduplication are the burden, and portals change structure frequently.

In-house build vs self-serve tool vs Actowiz managed service
Consideration In-house scraping team Generic proxy / DIY tool Actowiz managed feed
Time to first usable data 6–12 weeks of engineering before anything is trustworthy Days, but output needs manual cleanup before use Free pilot in 48 hours, production in 5–10 business days
Who fixes it when a source changes Your engineers, at the cost of their roadmap You do — tools report failures, they don't resolve them We do, same business day, inside the retainer
Data quality assurance Whatever your team has time to build None beyond HTTP success Schema validation plus sampled human QA on every run
Compliance documentation Rarely produced, then requested urgently by legal Not provided; terms risk sits with you Sources, method and lawful basis documented for review
Accountability Distributed across a team with other priorities A support ticket queue A named engineer and an account owner
True annual cost Engineer salaries, proxies, hosting, ongoing maintenance Low licence fee plus significant hidden analyst time One fixed monthly retainer, quoted after scoping

Incumbent detection: useful, inferential, and always shown with its reasoning

Knowing who currently holds a contract is often the single most valuable piece of pre-bid intelligence. It is also an inference rather than a published fact in most cases, and how a vendor handles that distinction matters.

How we infer it

  • Prior award to the same authority in the same classification, with a contract duration that plausibly ends around the new notice date. This is the strongest basis.
  • Framework participation where the authority buys through a framework and participants are published.
  • Notice language that references an existing arrangement, transition requirements or TUPE-type obligations.
  • Document references where publicly available documents name the current arrangement.

Why the confidence score is not decoration

A wrongly identified incumbent sends a capture team down an entirely wrong strategy: wrong differentiators, wrong pricing assumptions, wrong relationship approach. That is expensive in a way a missing field is not.

So every incumbent inference carries basis naming the specific reasoning and confidence as a score. High confidence means a prior award with matching authority, classification and plausible end date. Low confidence means weaker signals, and we would rather deliver a low-confidence flag you can investigate than a clean-looking assertion you might trust.

Where there is no reasonable basis, the field is absent rather than populated with a guess. Some contracts are genuinely new, and inventing an incumbent for them is worse than useless.

Why deadline conflicts get flagged rather than resolved

This is a small design decision with disproportionate consequences, and it is worth explaining because most vendors handle it the other way.

Why portals disagree

  • Extensions propagate unevenly. An authority extends a deadline; its own portal updates immediately, aggregators lag by days.
  • Timezone handling differs. A deadline published as a date without time, or with ambiguous timezone, resolves differently across portals.
  • Corrections are not always cross-published. A correction notice on one portal may never appear on another.
  • Local versus central publication timing. Regional and national portals ingest on different schedules.

Our approach

Every observed deadline is retained with its source in deadlines_observed, deadline_conflict is set when they disagree, and deadline_source identifies which source the primary deadline came from — with the authority's own publication preferred where identifiable.

We do not silently pick a date. If a bid team misses a deadline because a vendor chose the wrong one, that is a lost contract, and it is not a decision we will make on your behalf without showing you the disagreement. A flagged conflict costs a minute of checking; a wrong date costs the bid.

This is the same principle applied in our real estate and local business services, where ambiguous evidence is surfaced rather than resolved by the pipeline.

How it works

How a procurement data engagement goes live in 5 to 10 business days

Jurisdictions, classification scope and value thresholds are scoped first, since portal count drives cost and multilingual coverage adds work.

Scope the sources and fields

You send us target sites, regions, SKUs or keywords. We return a field-level schema proposal, coverage estimate and refresh recommendation — usually within two working days.

Pilot sample, free

We extract a real sample from your actual targets so you can inspect field fill rates, edge cases and match quality before any commitment.

Production build and QA harness

Our engineers build extractors, then wire validation rules: type checks, range checks, duplicate detection and golden-record comparison against a manually verified subset.

Scheduled delivery into your stack

Feeds run at your chosen cadence and land in the warehouse or bucket you already use. Schema changes are versioned and announced before they ship.

Ongoing monitoring and SLA support

We watch coverage drift, fill rates and source changes daily. A named engineer owns your account, and layout breaks are fixed by us — not queued for you.

Formats & destinations

JSON, JSONL, CSV, Parquet or XLSX, delivered to Amazon S3, Google Cloud Storage, Azure Blob, SFTP, Snowflake, BigQuery, Databricks or a REST/GraphQL endpoint. Webhooks fire on completion, and every batch ships with a manifest containing row counts, schema version and QA results so your pipeline can fail loudly instead of silently ingesting a bad file.

Compliance & data ethics

We collect publicly published procurement notices, award notices and publicly downloadable tender documents. Where document access requires portal registration we flag it rather than creating accounts. Named individual contact details in notices are not part of the deliverable; authority and role-based contact information is.

Service commitments

What we commit to, in writing

These are contractual, not marketing copy. They appear in the engagement document.

Service level commitments written into every managed engagement
Commitment What we hold ourselves to
Pilot turnaround A real sample from your own sources within 48 hours of scoping, at no cost.
Go-live Production collection running within 5–10 business days of sign-off.
Delivery punctuality 99.5% on-schedule delivery, measured monthly and reported to you.
Breakage response Source layout changes triaged same business day; critical sources inside 4 hours.
Data quality Schema validation on every run plus sampled human QA before any delivery leaves us.
Escalation A named engineer and an account owner, not a shared ticket queue.
Change requests Field additions and source changes handled inside the retainer, not re-quoted.
Exit Your historical data exported in full on request. No lock-in, no export fee.

Why teams pick Actowiz for this work

  • Engineers, not a dashboard. You get people who fix breakages, not a self-serve tool you maintain yourself.
  • We tell you what we can't do. Scope limits and coverage gaps are stated before you sign, not discovered in month three.
  • QA is part of the service. Schema validation and sampled human review run before delivery, every run.
  • Compliance is documented. Sources, method and lawful basis written down so your legal team can review them.
  • Fixed monthly cost. No per-request metering, no surprise overage on a month when a competitor adds SKUs.
  • Six years, 40+ countries. Long-running production pipelines across retail, travel, mobility and finance.
Definitions

Terms used on this page

Plain definitions of the terms used on this page, so procurement and legal reviewers are working from the same vocabulary as your data team.

Canonical notice
One opportunity after deduplicating the same tender published across national, regional and aggregator portals. Our observed ratio is about 2.7 raw notices per canonical opportunity.
Deadline conflict
Where portals publish different deadlines for the same tender, usually because an extension has not propagated. We flag it and show all observed deadlines rather than silently choosing one.
Probable incumbent
The supplier likely holding the current contract, inferred from prior awards to the same authority in the same classification. Always delivered with the basis for the inference and a confidence score.
FAQ

Government tender data: frequently asked questions

What bid, capture and analysis teams ask during evaluation.

About 2.7 raw notices per real opportunity in our coverage, and higher in jurisdictions with layered national, regional and supranational publication. Uncorrected, a pipeline looks nearly three times larger than it is.

We deduplicate to canonical opportunities using content matching rather than reference numbers, since every portal issues its own reference. sources_seen is retained because notice prominence is itself mildly informative.

Often, as an inference with its reasoning shown. We look for prior awards to the same authority in the same classification with plausible end dates, framework participation, and notice language referencing existing arrangements or transition obligations.

Every inference carries basis and confidence. Where there is no reasonable basis, the field is absent rather than guessed — because a wrongly identified incumbent sends a capture team down an entirely wrong strategy, which costs more than a missing field.

We flag it and show you all of them. Every observed deadline is retained with its source, deadline_conflict is set, and the authority's own publication is preferred as primary where identifiable.

We deliberately do not pick a date silently. A missed deadline because a vendor chose wrong is a lost contract, and that is not a decision we will make on your behalf. A flagged conflict costs you a minute; a wrong date costs the bid.

Where they are publicly downloadable without registration, yes — specifications, ITTs, clarifications and Q&A publications, with revision detection.

Many portals require registration to download documents. We do not create accounts to obtain them; we flag that document access requires registration and provide the notice metadata and document list so your team knows what to request. Creating accounts under our identity to obtain documents for you would be a terms problem for both of us.

Award value and, where published, the number of bidders. Individual competitor bid prices, evaluation scores and scoring breakdowns are generally not published, and where they are not, no vendor can supply them.

Jurisdictions differ: some publish more outcome detail than others. We tell you per jurisdiction what award transparency actually looks like rather than implying uniform detail.

Yes, from award notices with contract durations — projecting likely recompete windows months or years ahead of publication. This is one of the more valuable outputs, since it lets business development engage before a notice appears.

The projection is inferential: extensions, early terminations and scope changes are common and often unpublished. We deliver the projected window with its basis rather than as a date, and clients treat it as a targeting signal rather than a schedule.

Notices are collected in their published language with the original retained, and classification codes provide language-independent filtering — which is why CPV mapping matters so much here. Titles and scope descriptions are translated for search and filtering while the original text remains authoritative.

Translation is for triage, not for bid preparation. Bid teams should always work from the original document, and we keep the original precisely so that is possible.

Procurement notices are published specifically for public access — transparency is the legislative purpose — which makes this one of the more comfortable collection categories. Several portals also offer bulk access or APIs, which we use in preference to page collection where available.

We respect stated rate limits and access conditions, document methodology per portal, and make a DPA available before signature. Named individual contact details in notices are excluded from the deliverable; role-based authority contacts are included.

We quote individually. The drivers are jurisdiction and portal count, whether municipal and regional portals are included alongside national ones, classification scope, multilingual coverage, and refresh frequency.

National portals in one or two jurisdictions filtered to your sectors sits at the lighter end. Multi-jurisdiction coverage including regional and municipal portals with award history and incumbent detection sits higher. One scoping call, a free pilot on your own sectors within 48 hours, then a fixed monthly quote. Request a quote.

See real deduplicated tender data for your own sectors

Send us your classification codes and jurisdictions. We return deduplicated notices with deadlines reconciled and incumbents flagged within 48 hours.

Free pilot, no card, no obligation. We'll show you the raw-to-canonical ratio in your own sectors.
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Dedicated engineers across scrapers, AI/ML models, APIs, and data quality assurance.
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9.2M
Automated Workflows
Running weekly across eCommerce, Quick Commerce, Travel, Real Estate, and Food industries.
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270+ TB
Data Transferred
Real-time and batch data scraping at massive scale, across industries globally.
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380M+
Pages Crawled Weekly
Scaled infrastructure for comprehensive global data coverage with 99% accuracy.

AI Solutions Engineered
for Your Needs

LLM-Powered Attribute Extraction: High-precision product matching using large language models for accurate data classification.
Advanced Computer Vision: Fine-grained object detection for precise product classification using text and image embeddings.
GPT-Based Analytics Layer: Natural language query-based reporting and visualization for business intelligence.
Human-in-the-Loop AI: Continuous feedback loop to improve AI model accuracy over time.
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Amazon
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Zillow
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Latest Insights & Resources

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Blog

EU AI Act for Data Teams: What Scrapers Must Change in 2026

The EU AI Act impact on web scraping & AI training data GPAI transparency, copyright reservations, prohibited practices & a compliance checklist from Actowiz.

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Case Study

B2B Supplier Automates Government Tender Discovery from GeM & eProcure

How a B2B supplier replaced manual tender-portal checking with an automated, filtered feed of relevant government tenders from GeM and CPP/eProcure never missing a bid deadline again.

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Report

FIFA World Cup 2026 Aftermath: Hotel & Airfare Normalization in Host Cities (Data Study)

Actowiz Solutions tracks post–World Cup 2026 travel pricing — hotel ADR & airfare normalization across host cities, event-premium decay data & lessons for travel teams.

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Whether you're a startup or a Fortune 500 — we have the right plan for your data needs.

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Transparent plans from $500/mo. Find the right fit for your budget and scale.
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Tell us what data you need — we'll scope it for free and share a sample within hours.
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    Plans from $500/monthFlexible pricing for startups, growing brands, and enterprises.
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Request Free Sample Data

Our team will reach out within 2 hours with 500 rows of real data — no credit card required.

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Free 500-row sample · No credit card · Response within 2 hours