Service · 01
Data Extraction & Monitoring
Get the business data you need, clean, current and ready to use.
We collect data from websites, portals, APIs, files and partner sources. Then we clean it, check it, monitor changes and deliver it to your dashboard, database or AI team.
Problems we solve
What usually brings teams here
- People copy information from websites into spreadsheets by hand.
- Price, stock, product, supplier or policy changes are noticed too late.
- Data from different sources uses different names and formats.
- Products, companies or sellers are hard to match across sources.
- Existing feeds are incomplete, stale or difficult to trust.
- AI teams need domain data but have no repeatable way to collect it.
What's included
What we do in data extraction & monitoring
01
Website Data Collection
Collect agreed public or permitted data from websites, portals, marketplaces, catalogues and online records.
02
API & File Connections
Connect APIs, open datasets, partner feeds, spreadsheets, CSV files and secure file transfers.
03
Ongoing Change Monitoring
Check sources on a schedule and find important changes in price, stock, listings, documents, suppliers or rules.
04
Data Cleaning & Standardization
Fix formats, remove duplicates, standardize names and add useful categories or fields.
05
Product & Company Matching
Link the same product, seller, supplier or company across sources, even when the names are different.
06
Data Quality & Source Tracking
Check completeness, freshness and errors, and keep a clear record of where each item came from.
07
Data Delivery & Alerts
Deliver through an API, database, cloud storage, spreadsheet, dashboard, email or team alert.
08
AI Data Collection
Collect and prepare agreed text, documents, product data and other domain data for machine learning and LLM projects.
What you receive
Clear deliverables
- Agreed source list and data fields
- Collection schedule and update rules
- Clean data structure and matching rules
- Quality checks and issue log
- Source history and freshness report
- API, file, database or dashboard delivery
- Alerts for important changes
- Optional ongoing managed monitoring
How it works
- 1Define the needAgree the sources, fields, refresh rate, delivery format and allowed use.
- 2Build the collectionConnect websites, APIs, files or partner feeds.
- 3Clean and matchStandardize records, remove duplicates and link the same items across sources.
- 4Check qualityTest coverage, freshness, accuracy and what happens when a source fails.
- 5Deliver and monitorSend data where your team needs it and keep the feed running.
Want data extraction & monitoring scoped for your team?
Send us the problem and the systems involved. We reply within one business day with a starting point, a target and a first step.
Choose the operating model
Managed web data, not just scraping infrastructure
DataplexLabs delivers agreed, structured data rather than asking your team to run crawler infrastructure. Where the scope calls for it, collection monitoring, validation, matching and output preparation are part of the managed workflow. Scraping APIs and proxies remain useful when a team wants direct engineering control.
| Approach | Best for | Customer operates infrastructure? | Data delivered ready for use? | Ongoing maintenance |
|---|---|---|---|---|
| Managed data service | Teams that need a defined dataset or monitored feed | No | Yes, against the agreed schema and checks | Managed by the service team |
| Scraping API | Engineering teams that want extraction building blocks | Partly: extraction logic and workflows remain internal | Usually requires cleaning and preparation | Shared between provider and customer |
| Proxy infrastructure | Teams building specialised collection systems | Yes | No | Customer owns crawlers, parsers and quality |
| Internal scraping team | Organisations needing full code and operating control | Yes | Only after the team builds preparation steps | Internal team |
Methodology
How the work is structured
- 01
Define the business question
Confirm what decision the data supports, the approved sources and the required freshness.
- 02
Specify the output
Agree fields, formats, matching rules, delivery method and acceptance criteria.
- 03
Collect and prepare
Connect the approved sources, standardise records and prepare the usable output.
- 04
Validate and review exceptions
Check coverage, freshness, completeness and uncertain matches before delivery.
- 05
Deliver and maintain
Deliver on the agreed schedule and respond to source or schema changes within the managed workflow.
How we measure success
Agree the measures before delivery starts
These are measurement categories, not performance claims. The relevant definitions and acceptance criteria are agreed for each engagement.
- Coverage
- Whether agreed sources and fields are represented.
- Freshness
- Whether updates arrive on the schedule the decision needs.
- Completeness
- Whether required fields are populated or clearly flagged.
- Match quality
- Whether records linked across sources represent the intended entity.
- Output consistency
- Whether each delivery follows the agreed schema and validation rules.
Outcomes
Why teams engage us
- Fewer hours spent on manual research and copying
- Faster reaction when prices, stock or rules change
- One clean, current data source your teams can trust
How we position this
This is more than web scraping. Scraping can be one collection method. The service also covers APIs, files, cleaning, matching, quality checks, delivery and ongoing monitoring.
Related solutions
Packaged around a business outcome
01
Web & Market Data Monitoring
Know when important prices, products, suppliers, sellers or rules change.
Explore
07
Competitor Price Tracking
Track competitor prices and act before profit or sales are affected.
Explore
09
Marketplace Seller & Price Monitor
Track sellers, prices, listings and possible channel violations.
Explore
FAQ
Data Extraction & Monitoring questions, answered
Common questions we hear about data extraction & monitoring. If yours is missing, ask us.
No, web scraping is only one collection method inside this service. Data extraction and monitoring also covers APIs, files, partner feeds, cleaning, product matching, quality checks and delivery to your database, dashboard or API. We agree the sources and fields with you, then run collection on a schedule with checks for accuracy and freshness. Most clients see a working feed in 2 to 4 weeks.
Cost depends on the number of sources, how often data needs to refresh, and the cleaning and matching work required. Simple single-source feeds cost less than multi-source monitoring with matching and alerts. We scope a fixed price for the first project, usually one source or product group, then quote ongoing monitoring separately. This lets you see the value before committing to a larger rollout.
Yes, delivery is designed around the systems you already use. We can send data to your database, cloud storage, spreadsheet, dashboard, API or a team alert channel like email or chat. Integration is agreed during setup so no extra tooling is needed on your side. The same feed can also serve multiple destinations at once if your teams need different views.
Accuracy is checked through completeness, freshness and match-rate testing before and after delivery. We agree quality rules up front, such as required fields and acceptable error thresholds, and track them on an ongoing basis. When a source changes structure or a check fails, we review and fix the connection rather than let bad data pass through. You get a quality report alongside the feed.
You need to tell us which sources matter, what fields you need, and confirm the data is public or that you have permission to collect it. If sources require login access, API keys or partner credentials, we ask you to provide or approve them. No changes to your existing systems are required at this stage. We handle the collection and cleaning once sources and rules are confirmed.
Most clients get a first working feed in 2 to 4 weeks, starting with one source or product group. Timelines depend on source complexity, how many fields need matching, and whether quality rules require several review rounds. Ongoing monitoring then runs on the agreed schedule, from daily to several times a day. We recommend starting narrow and expanding once the first feed proves useful.
Proof
Where this work paid off
Manufacturing
Cut purchasing cost surprises and document work across plants
This manufacturer had spend and supplier data trapped in plant-level systems, spreadsheets and supplier portals. Purchase teams spent days reconciling costs, tariffs changed without warning, and quality documents were processed by hand. DataplexLabs connected the sources, built a unified purchasing view and put document extraction in place with a human review queue.
Read the case study →Wholesale & Distribution
Recover margin lost in rebates, billing errors and price inconsistencies
Rebates, special pricing agreements and billing mistakes were quietly eroding margin. Prices varied between customers and channels, and order-to-cash work was still manual. DataplexLabs rebuilt the price-to-invoice trail, matched contracts to transactions and added monitoring for the top leakage causes.
Read the case study →Retail & E-commerce
React to market moves faster with clean product, price and seller data
Competitor prices, promotions and stock levels were checked by hand, so the team reacted too late. Product content drifted across marketplaces and unauthorized sellers broke pricing rules. DataplexLabs set up continuous monitoring of competitor and marketplace data and built a single source of product truth.
Read the case study →Next step
Discuss your use case
Bring one pain point, a data source, a workflow, a margin question. We'll come back with a focused assessment and a clear ROI hypothesis.