Monitored web data delivery
The web, delivered as business-ready data.
Popas turns hard-to-reach web sources into monitored product, price, inventory, location, schedule, and market intelligence feeds, checked with AI and delivered in the format your team needs.
Send one source, competitor, marketplace, or business question. We will reply with a sample feed structure and delivery path.
2x/day+ Refresh cadences from twice daily to custom production windows.
99.9% Availability target for contracted production feeds and endpoints.
Any format CSV, Excel, JSON, Parquet, API, warehouse, or custom handoff.
Location Data Use Cases
Published Edit dashboard Run
Last 30 days Europe All countries All stores API, CSV, Parquet
OverviewPricesProductsStockOpportunities
Price and stock movement
Products needing attention
Location coverage
Use-case dataset health
| Track Competitor Prices | 24 | 15m | Healthy |
| Detect Promo Changes | 18 | 22m | Healthy |
| Optimize Stock Levels | 16 | 18m | Healthy |
| Benchmark Competition | 20 | 31m | Warning |
Our founders worked with:
What Popas delivers
Monitored data operations, not one-off scraping.
Start with a business question or a source list. Popas turns public web sources into maintained feeds with extraction, recovery, AI checks, and delivery built in.
Managed web data delivery
The feed keeps running after the first scrape succeeds.
Sources are monitored, scraper drift is handled, AI reviews the output, and the data arrives in the format your team already uses.
self-healing scrapersAI output analysisdelivery receiptsrecurring monitored feeds
source Turn source lists into monitored business coverage mapped extract Turn public sources into structured business data your team needs running heal AI analysis works 24/7 to fix source drift before it becomes your problem handled analyze Review output for business-ready accuracy and spot data anomalies early AI checked deliver Land reliable data where decisions already happen ready Competitor price feed
Track price, promo, stock, and assortment movement across competitors.
Product availability feed
Monitor products disappearing, changing, duplicating, or going out of stock.
Location coverage feed
Keep store lists, addresses, coordinates, and coverage gaps clean and current.
BI-ready monitored dataset
Deliver clean, refreshed data into Superset, files, APIs, warehouses, or reports.
Data journey
From messy public web sources to reliable business data.
The work is not just scraping. Popas discovers the right sources, extracts continuously, heals failures, validates output with AI, and delivers feeds your team can use.
Find the sources and competitors worth watching.
Popas maps public retailers, marketplaces, store locators, category pages, brand pages, and competitor surfaces before a feed is built.
competitor discoverysource mappingcoverage plan
Collect product, price, stock, location, and market signals.
Request, browser, and hybrid crawlers collect the signals needed for recurring product intelligence and marketplace monitoring.
product pagesprice changesavailability
Recover when source pages drift or break.
Self-healing scrapers handle selector drift, empty responses, pagination changes, JavaScript-heavy pages, and delivery failures before they become client work.
selector driftsource changeretry path
Use AI analysis before the data reaches the client.
Outputs are checked for missing fields, duplicate entities, suspicious price moves, stock anomalies, stale runs, and schema changes.
AI anomaly reviewentity matchingfreshness
Send business-ready feeds into the workflow already in place.
Clean data lands as files, APIs, warehouse tables, BI-ready datasets, recurring reports, or marketplace packages.
ParquetAPIBI-ready
Use cases
Web data for the questions teams already ask.
Popas turns monitored sources into decision-ready feeds. Scrapers self-heal when sources drift, and AI checks the output before data reaches the client.
01 / Pricing and promotions
Track price and promo changes daily across competitors, retailers, and marketplaces.
Decisions enabled
- Respond to competitor price moves
- Detect promo changes
- Protect margin and availability
Validity layer
- self-healed source drift
- AI price anomaly review
- freshness checked
02 / Competitor discovery
Find competitors entering your market before they become obvious in reports.
Decisions enabled
- Identify new competitors
- Build watchlists by market
- Spot emerging retailers or brands
Validity layer
- source discovery review
- duplicate competitor cleanup
- AI entity matching
03 / Competitor monitoring
Follow competitor assortment, availability, promotions, and price movement in one feed.
Decisions enabled
- Follow competitor moves
- Benchmark price and assortment
- Prioritize response by impact
Validity layer
- self-healed competitor pages
- AI anomaly analysis
- freshness and change checks
04 / Marketplace presence
Identify missing regions, retailers, categories, products, and marketplace coverage.
Decisions enabled
- Prioritize expansion
- Find missing SKUs
- Track market openings
Validity layer
- duplicate store cleanup
- coverage gap analysis
- coordinate QA
05 / Inventory and assortment
Catch stock gaps, duplicated listings, and assortment shifts before they cost sales.
Decisions enabled
- Recover stock
- Benchmark assortment
- Protect availability
Validity layer
- stock validation
- schema checks
- outlier detection
06 / BI-ready delivery
Feed Superset, Power BI, warehouses, or reports without rebuilding collection.
Decisions enabled
- Load into BI
- Refresh dashboards
- Audit source health
Validity layer
- AI output analysis
- delivery receipts
- row-count validation
Before and after
From source headaches to trusted business data.
The point is not scraping. The point is dependable data your team can use without rebuilding the operation around it.
Before Popas
Engineering time spent building and maintaining fragile scrapers
After Popas
Popas owns extraction, monitoring, refresh, QA, and delivery so engineering does not become the data-maintenance team.
Before Popas
Constant maintenance burden: every site change breaks your scrapers and you pay more for fixing it
After Popas
Self-healing scrapers and source-health checks catch drift, empty responses, schema breaks, and delivery failures before bad data becomes a report.
Before Popas
Weeks or months spent developing and scaling each new data pipeline
After Popas
A sample-first workflow moves new sources from scope to feed plan quickly, then into recurring production delivery after approval.
Before Popas
JavaScript-heavy sites, CAPTCHAs, pagination, dynamic content, and anti-bot friction
After Popas
Popas chooses the right collection path per source: browser automation, request pipelines, hybrid crawlers, proxy strategy, retries, and manual review.
Before Popas
Uncertain legal compliance and risk exposure, including GDPR penalties up to €20M or 4% of global turnover
After Popas
Projects are scoped with public-source review, data minimization, responsible collection patterns, and client-specific legal review when required.
Before Popas
Analysts lose trust because rows are stale, duplicated, missing fields, or out of sync with the source
After Popas
AI-assisted validation checks anomalies, duplicate entities, missing fields, freshness, and row counts before data reaches the client workflow.
Marketplace
Ready-made datasets when you do not need custom monitoring yet.
Browse productized location datasets as a starting point. When you need custom coverage, competitor tracking, product feeds, or recurring source monitoring, request a scoped feed.
Canada liquor boards package
Multi-board location coverage for LCBO, SAQ, BCLIQUOR, NSLC, ANBL, Manitoba Liquor Marts, and PEI Liquor with one delivery contract.
LCBO locations
Store identity, address, coordinates, hours, phone, status, source URL, and sample rows for Ontario coverage.
Beer Store locations
Location data prepared for analysts, sales teams, mapping workflows, and territory planning across Ontario stores.
SAQ locations
Quebec liquor-board location coverage with store identity, coordinates, address, status, and sample rows for review.
Need something beyond the marketplace? Popas scopes custom monitored feeds by source complexity, refresh cadence, QA depth, and delivery requirements.
Start with a source
Send one source. Get a sample feed plan.
Share a source, competitor list, marketplace, or business question. Popas will reply with the proposed feed structure, QA path, cadence, delivery format, and next step.