External data
Reliable web data collection and monitoring systems
Collect public web data reliably, transform it into a usable structure, and deliver it to the systems where your team works.
Overview
From scattered web sources to dependable business data
Manual research does not scale when prices, products, listings, documents, on-chain activity, or market signals change every day. Dataliqo builds web scraping and data collection systems that turn repeatable research into an automated data pipeline.
We design the full flow: source discovery, respectful collection, parsing, validation, deduplication, storage, monitoring, and delivery through an API, database, dashboard, or scheduled export. The goal is not simply to scrape pages, but to produce data your team can trust and use.
What we do
Capabilities within Web Data Collection & Monitoring
Every engagement is shaped around the actual problem. These capabilities can be delivered individually or combined into a broader system.
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Web scraping for structured and dynamic websites
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Collection from websites, APIs, feeds, and public documents
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Price, product, news, listing, and marketplace monitoring
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Scheduled collection and near-real-time update pipelines
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Change detection, validation, deduplication, and source monitoring
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Delivery to databases, APIs, cloud storage, or scheduled exports
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Cryptocurrency price, exchange, and on-chain data collection
Business value
What this can change for your team
Reliable external data helps your team react to market changes sooner, spend less time collecting information, and make decisions from a repeatable source instead of a one-off spreadsheet.
See changes sooner
Monitor the sources that matter and surface meaningful changes before manual research catches up.
Reduce research overhead
Move recurring collection and cleanup out of your team's daily workload.
Build on trusted inputs
Give analytics, automation, and AI initiatives a documented and validated data foundation.
Problems we solve
Problems this service can solve
- Tracking prices, availability, catalogues, listings, or public records across many sources
- Replacing fragile scripts and spreadsheets with monitored collection pipelines
- Normalizing inconsistent source data into one clear schema
- Delivering fresh data to analysts, internal tools, CRM systems, or downstream automation
- Tracking crypto prices, exchange data, or on-chain activity across EVM and SVM networks
What we can deliver
What a project can include
- Custom crawlers and extraction pipelines
- Scheduled collection and change monitoring
- Data validation, deduplication, and normalization
- Structured data storage, APIs, dashboards, or file exports
- Operational alerts, logs, retries, and maintenance workflows
Delivery approach
How we deliver this work
Every stage produces something reviewable, reduces uncertainty, and keeps the solution connected to the business outcome.
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Define
We identify the business questions, sources, refresh rate, required fields, and acceptable data quality.
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Collect
We build a focused collector with rate controls, retries, observability, and source-specific parsing.
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Structure
Raw content becomes validated, normalized records designed for analysis and integration.
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Operate
We monitor changes and failures so the pipeline remains useful after the first successful run.
Questions
Common questions about web data collection & monitoring
What types of public web data can you collect?
Typical projects include product catalogues, prices, listings, directories, public documents, market signals, and other publicly accessible information. The source, access rules, and intended use are reviewed before implementation.
Can the data be delivered to our existing system?
Yes. Data can be stored in a structured database, exposed through an API, sent to cloud storage, exported as CSV or JSON, or connected to your existing analytics and operational tools.
Do you work with cryptocurrency or on-chain data?
Yes. We collect exchange prices, market data, and on-chain activity across EVM and SVM networks, and can pair it with the data platforms or AI services below to turn it into something you can act on.
A practical next step
Let’s turn your external data challenge into a clear project plan.
Tell us what is slowing your team down, what information or systems are involved, and what a better outcome would look like. You do not need a finished specification—we can help define the right starting point.
- No prepared technical brief required
- A focused conversation about goals and constraints
- A clear recommendation for the next practical step
Describe your challenge
Start a project conversation
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