MTD Technologies builds data systems that turn scattered online information and internal records into useful business intelligence. The work includes responsible web scraping, data cleaning, analytics, automation, and dashboards.
MTD Technologies provides web scraping services for ecommerce and data-driven teams that need scattered online information turned into business intelligence. We build responsible extraction pipelines with data cleaning, analytics, automation and dashboards on top. It suits businesses making pricing, catalogue or market decisions that depend on reliable, regularly refreshed data from the web.
Reliable data extraction pipelines
Useful scraping is more than grabbing pages. It requires structured extraction, validation, scheduling, error handling, and respect for legal and platform boundaries. MTD Technologies designs pipelines that produce clean, usable data.
- Web scraping and data extraction
- Data cleaning and normalization
- Scheduled collection workflows
- CSV, database, API, and dashboard outputs
Analytics and data science
Once data is clean, it can support better reporting, forecasting, segmentation, and decision-making. MTD Technologies can build dashboards, predictive workflows, and analysis tools around the metrics that matter.
- Business intelligence dashboards
- Predictive analytics and modeling
- Data visualization
- Automation for recurring reports
Start a project with MTD Technologies
For a practical next step, review the main services overview, see selected portfolio work, or contact MTD Technologies to discuss your project requirements.
Web scraping for ecommerce: what we deliver
Ecommerce runs on data you do not own: competitor prices, stock levels, product assortments, and customer reviews. We build scraping pipelines that turn that public data into a private advantage — monitored daily, cleaned, and delivered where your team already works.
- Price and assortment monitoring: track competitor prices, discounts, and new listings across marketplaces and DTC stores.
- Product data extraction: specs, images, variants, and reviews structured for your catalog or analysis.
- Automated pipelines: scheduled runs with change detection, so you are alerted when something moves, not buried in spreadsheets.
- Clean delivery: CSV, JSON, direct database inserts, API endpoints, or dashboards — your choice.
Frequently asked questions
Is web scraping legal?
Scraping publicly available data for analysis is a legitimate and widespread business practice, upheld in major court cases. We scrape respectfully — reasonable request rates, no circumvention of logins — and we will flag it if a target’s terms or structure makes a project inadvisable.
How do you handle anti-bot protection?
We start with the lightest approach that works: proper headers, reasonable pacing, and session handling. For harder targets we use rotating infrastructure and headless browsers. We never hammer a site — aggressive scraping gets you blocked and is bad practice.
What data formats do you deliver?
Whatever fits your workflow: CSV/Excel for analysts, JSON or a REST API for developers, direct inserts into your database, or a dashboard if you want to watch it live. Pipelines can run on a schedule — hourly, daily, or weekly.
How much do web scraping services cost?
A one-time extraction of a defined dataset typically runs $500–$2,000. Ongoing monitored pipelines usually start around $300/month depending on target count, frequency, and anti-bot difficulty. We always run a small paid pilot first so you see real data before committing.
What happens when the target site changes its layout?
Layouts change — that is normal. Our pipelines include monitoring that alerts us when extraction quality drops, and maintenance plans cover re-targeting the scraper. Most fixes take hours, not days, because the pipeline architecture stays the same.
Exactly what you get in a scraping engagement
A scraper that works once is a demo. A pipeline that delivers clean data every day for a year is the product. Every engagement includes:
- Target analysis: we assess the site’s structure, anti-bot measures, and legal posture before quoting — so the price we give is the price you pay.
- Resilient scraper builds: rotating user agents, session management, and retry logic that survives the real web.
- Anti-bot handling: respectful rate limiting first; proxy rotation and browser emulation where the target demands it.
- Data cleaning & normalization: prices parsed to numbers, variants unified, duplicates removed — you get analysis-ready data, not raw HTML dumps.
- Scheduled pipelines: daily/hourly runs with failure alerts and automatic recovery.
- Delivery your way: API endpoint, CSV/Sheets feed, direct database writes, or a dashboard — plus integration into your existing systems.
- Change monitoring: when the target site redesigns (and it will), we detect the break and fix the selectors — covered under maintenance.
- Documentation: what each field means, how often it updates, and known limitations.
Ecommerce data we extract most
- Competitor pricing: daily price tracking across rivals with change alerts.
- MAP / minimum-price monitoring: catch resellers undercutting your pricing policy.
- Inventory & availability: stock-level signals for demand planning.
- Reviews & ratings: what customers praise and complain about — yours and theirs.
- Product catalog intelligence: new launches, assortment gaps, and category trends.
Web scraping pricing
Fixed quotes after a free scoping call. As a guide: a single-site scraper with scheduled runs typically costs $800–$2,500. Multi-site monitoring pipelines with dashboards run $2,500–$8,000. Maintenance plans (monitoring, selector fixes when sites change) keep pipelines healthy indefinitely.
Scraping legally and ethically: our ground rules
- We respect robots.txt and terms of service as the starting point of every engagement — and tell you upfront if a target is off-limits.
- Public data only: no credential bypassing, no private-account scraping, no personal data harvesting.
- Gentle by default: rate limits that don’t hammer the target’s servers.
- You own the pipeline: code and infrastructure documented and transferable.
Why MTD for web scraping
- 9+ years of hostile-web experience: we’ve defeated every anti-bot pattern short of the illegal ones — and know exactly where that line is.
- Data science, not just extraction: cleaning, normalization, and analysis are part of the deliverable, not an afterthought.
- Maintenance mindset: sites change; our pipelines are built expecting it, with monitoring that catches breaks before you notice stale data.
More questions, answered
How much does web scraping cost?
A single-site scraper with scheduled runs typically costs $800–$2,500 fixed. Multi-site monitoring pipelines with dashboards run $2,500–$8,000. We quote fixed prices after a free scoping call.
Is web scraping legal?
Scraping publicly available data is generally permissible, but terms of service, robots.txt, and jurisdiction matter. We assess every target’s legal posture before quoting and decline targets that cross the line — we’d rather lose the project than put you at risk.
What if the site blocks scrapers?
We start respectful: proper rate limiting and headers. For tougher targets, we use session management, proxy rotation, and browser emulation. If a site truly can’t be scraped within legal and ethical bounds, we tell you before you spend anything.
How do you deliver the data?
Your choice: API endpoint, CSV/Google Sheets feed, direct database writes, or a live dashboard. Most ecommerce clients take a daily feed plus change alerts.
Can you monitor competitor prices daily?
Yes — that’s our most common engagement. Daily price snapshots across your competitors with alerts when prices move beyond your thresholds, delivered as a feed or dashboard.
What happens when the target site changes its layout?
Our change monitoring detects selector breaks automatically, and maintenance plans cover the fixes. Layout changes are a when, not an if — pipelines are built expecting them.
Need reliable ecommerce data? Get a free scoping call — we’ll assess your targets and quote fixed before you commit.