Web data services, scoped to the decision you need to make.
Data On Demand runs the full cycle of web data collection, from source analysis and extraction to validation and delivery. Choose a core service for how the data is collected and delivered, and a data type for what is collected; most programmes combine both.
Seven ways we deliver web data.
Managed web scraping
We design, operate and maintain the crawlers that collect the public web data your teams depend on. You define the sources, fields and cadence; we handle location settings, parsing, site changes and quality checks, then deliver clean files or feeds.
Best for: Teams that need reliable web data from many sources but do not want to staff a scraping function.
Real-time data feeds
Some decisions cannot wait for tomorrow's file. Our real-time feeds re-check priority pages every few minutes and push only what has changed, so repricing engines, alerts and dashboards react to the market as it moves.
Best for: Businesses whose pricing, stock or bidding decisions are made intraday and lose value with each hour of delay.
Custom data extraction
When the data you need sits across awkward sources, nested pages or several languages, off-the-shelf datasets fall short. We scope a custom schema with you and build extraction logic to match it, whether for a single research project or an ongoing programme.
Best for: Projects with unusual sources, complex navigation or a schema that has to be designed around a specific question.
Mobile app data extraction
In quick commerce, food delivery and ride-hailing, the app is the storefront and the website shows little or nothing. We collect data from mobile apps using emulated devices pinned to specific locations, so you see the prices, fees and availability real customers see.
Best for: Quick-commerce, food delivery and mobility players or suppliers whose market is visible mainly inside apps.
Document & PDF extraction
Valuable data is still published as PDFs, scanned forms and spreadsheets attached to web pages. We locate, download and parse these documents at scale, using OCR and layout-aware extraction to produce clean, validated tables.
Best for: Teams whose source data is locked in PDFs, scans or attached spreadsheets published on the web.
AI training data
Models are only as good as the data behind them. We build domain and language-specific corpora from public web sources, with provenance recorded, licence signals respected, duplicates removed and quality filters applied, ready for labelling or fine-tuning.
Best for: Teams training or fine-tuning models that need domain-specific, well-documented web data rather than a raw crawl.
Custom APIs & delivery
Files suit analysts; applications need endpoints. We expose your datasets through a dedicated REST API and webhooks, or sync them straight into your warehouse, with authentication, rate limits and versioned schemas that keep integrations stable.
Best for: Engineering and product teams embedding external web data into live applications, pricing engines or warehouses.
From any page to analysis-ready data.
We turn messy web pages into structured records: validated, de-duplicated and normalised for currency, units and language.
- Your schema and field names
- Local currencies, with optional conversion
- Arabic, Hindi and other scripts preserved
<h1 class="title">Wireless earbuds, 40h battery</h1> <span class="price" data-cur="AED">249.00</span> <span class="was">299.00</span> <div class="stock">Only 7 left</div> <meta itemprop="ratingValue" content="4.6">
{
"product": "Wireless earbuds, 40h battery",
"price": 249.00,
"list_price": 299.00,
"currency": "AED",
"stock": 7,
"rating": 4.6,
"market": "UAE"
}<h2>3-bed condo, District 15</h2> <div class="px">S$ 1,980,000</div> <li>1,184 sqft</li><li>Freehold</li> <span class="date">Listed 12 Sep 2026</span>
{
"title": "3-bed condo, District 15",
"price": 1980000,
"currency": "SGD",
"area_sqft": 1184,
"tenure": "Freehold",
"listed_on": "2026-09-12"
}<div class="room">Deluxe double, river view</div> <span class="rate">€ 184</span> / night <span class="cxl">Free cancellation</span> <span class="date">2026-10-14</span>
{
"property": "Lisbon River Hotel",
"room": "Deluxe double, river view",
"rate": 184,
"currency": "EUR",
"refundable": true,
"stay_date": "2026-10-14"
}<h3>Tacos al pastor (4)</h3> <span class="p">$ 129.00</span> <span class="eta">25–35 min</span> <span class="fee">Envío $ 19</span>
{
"item": "Tacos al pastor (4)",
"price": 129.00,
"currency": "MXN",
"eta_min": [25, 35],
"delivery_fee": 19.00,
"city": "Mexico City"
}<h1>Senior Data Engineer</h1> <span class="loc">Austin, TX · Hybrid</span> <span class="pay">$150K – $175K</span> <time>Posted 3 days ago</time>
{
"title": "Senior Data Engineer",
"location": "Austin, TX",
"work_mode": "Hybrid",
"salary_min": 150000,
"salary_max": 175000,
"currency": "USD"
}Fourteen data types, one standard of quality.
Each data type has its own schema, validation rules and normalisation, refined over hundreds of projects.
Pricing & product data
List, sale and delivered prices, matched to your SKUs.
Stock & availability data
In-stock status and delivery promises by store, zone and seller.
Catalogue & assortment data
Full competitor ranges with attributes, mapped to your categories.
Reviews & ratings data
Ratings and review text, structured for sentiment and topic analysis.
Promotions & offers data
Discount depth, mechanics and duration across retailers and apps.
Seller & vendor data
Seller offers, ratings and featured-offer status on every listing.
Location & POI data
Stores, branches and venues with coordinates, hours and categories.
Search & SERP data
Organic and sponsored positions by keyword, device and location.
News & media data
Articles, press releases and trade press with entities and topics tagged.
Financial & market data
Point-in-time web signals and public disclosures for investment research.
Company & lead data
Firmographics from registries, directories and company websites.
Real estate listings data
Asking prices, rents and supply by district, de-duplicated across portals.
Jobs & salary data
Normalised job titles, skills and advertised salaries by market.
Travel rates & fares data
Hotel rates and fares by stay date, lead time and point of sale.
Built for the sources you actually need.
A sample of what we are already set up to extract from. Not listed? Tell us the source. Most pipelines are scoped within a day.
Marketplaces & retail
Travel & local
Delivery & grocery
Property, jobs & more
Beyond what’s listed, any publicly accessible website, app or platform can be turned into clean, structured data. If it’s on the web, we can likely build a pipeline for it.
Your data, where your team already works.
File delivery
CSV, JSON, XLSX, Parquet or XML files on a fixed schedule, with a manifest of row counts and checks passed.
REST API
A dedicated, authenticated endpoint to query the latest data or history by entity, market or date range.
Webhooks
Signed notifications pushed to your systems when a new delivery lands or a tracked value changes.
Cloud storage
Scheduled drops to your cloud storage bucket, partitioned by date and source.
Warehouse sync
Direct loads into your cloud data warehouse, so data is ready to query alongside your internal tables.
SFTP
Secure file transfer to your server, suited to established ETL processes and restricted networks.
Shared spreadsheet
A live sheet refreshed on schedule, useful for smaller datasets and teams without a data platform.
Scheduled reports and files sent to named recipients, with alerts for exceptions such as stock-outs or price breaches.
Find the right starting point.
No fixed packages. Every engagement is scoped to what you actually need. Here’s roughly where teams like yours start.
One source, one question
You want to see what real output looks like before committing to anything.
- Free sample from one source
- Delivered in 24–48 hours
- No commitment, no card required
Ongoing managed pipeline
You need a data feed that keeps running: pricing, stock, leads or listings, refreshed on a schedule.
- Multiple sources, one pipeline
- Scheduled or real-time delivery
- QA-validated, monitored pipelines
Dedicated data programme
You need scale, security review, and a team that treats this as infrastructure, not a one-off request.
- Dedicated engineering contact
- Custom SLAs and security review
- Volume-based pricing
What drives cost: number of sources, volume, frequency and complexity.
Is web scraping legal?
Collecting publicly available data is lawful in many circumstances, but it depends on the source, the data and how it is used. We collect public data only, review each source's terms, keep request rates considerate and minimise personal data. Projects are scoped against the laws that apply, such as GDPR, UAE PDPL, Saudi PDPL, Singapore PDPA, CCPA/CPRA and LGPD.
What drives the price of a project?
The main drivers are the number and complexity of sources, the volume of records, refresh frequency and any post-processing such as product matching or translation. Delivery method and support level also play a part. We quote after a short scoping call and a free sample, and first projects are paid after delivery.
What happens when a website changes?
Our monitoring checks every run for layout changes, empty fields and unusual volumes. When a source changes, our engineers update the crawler, typically before the next scheduled delivery. Maintenance is included in managed services, so you do not need to raise a ticket.
Which formats and delivery methods do you support?
We deliver CSV, JSON, XLSX, Parquet and XML files, and data through REST API, webhooks, cloud storage, warehouse sync, SFTP, a shared spreadsheet or email. The schema is agreed with you and kept stable across deliveries.
Can we see a sample before committing?
Yes. We provide a free sample within 24–48 hours of agreeing the sources and fields, so you can check coverage and structure. An NDA is available on request before you share any details.