Crawlers & scrapers Parsing & normalisation Monitoring & alerting

Custom web scraping software

Appfront builds custom web scraping and data extraction software: from crawlers and scrapers to scheduling, parsing, data normalisation and handling dynamic JavaScript pages. With rate limiting for reliability, storage in a database, API or CSV, and monitoring that alerts you as soon as a source changes. We build scraping that is legally and ethically sound: respect for robots.txt and terms of use, only publicly accessible data, and the GDPR observed where personal data is involved. For data teams, price comparison sites, market research, property, recruitment and e-commerce.

What is web scraping software?

Web scraping software automatically collects data from websites and converts it into a structured format you can use in a database, API, dashboard or spreadsheet. A crawler visits the right pages, a scraper extracts the relevant fields, and a parsing and normalisation layer keeps the data consistent: prices as amounts, dates in one format, duplicate records removed. The aim is for you to end up with reliable, usable data rather than loose fragments of text.

Off-the-shelf scraping tools work until a source or its field structure differs slightly from what was expected, or until the scale, frequency or legal care required exceeds what such a tool can handle. Custom software is built around your sources, your fields, your storage and your agreements on speed and respect for the source, and it can grow as sources change or new ones are added. That avoids fragile scripts scattered across folders and keeps your data collection maintainable.

We build scraping that works legally and responsibly: we respect robots.txt and a source's terms of use, collect only publicly accessible data and keep to a reasonable request rate. Where personal data is involved, we take GDPR into account. You can also read more about our broader approach to data engineering and custom software development.

Crawling and extraction

A crawler visits the right pages and a scraper pulls out exactly the fields you need. Dynamic pages that only load their content after JavaScript runs are also handled, using a headless browser that renders the page just as a real visitor would see it.

Parsing and normalisation

Raw HTML is cleaned, structured and normalised: prices converted to amounts, dates brought into one format, duplicate records removed. Validation rules ensure that unexpected or empty fields are flagged rather than quietly producing incorrect data.

Monitoring for changes

If the structure of a source changes or the volume of data deviates from what is normal, you receive an alert. This keeps data collection reliable and means you learn quickly when a source has changed, rather than discovering it later.

How we build your web scraping software

We work in clear stages and involve your data and domain specialists early in the process. From a thorough exploration of your sources, fields and the legal landscape through to go-live and ongoing management, each step is aimed at data collection you can trust, that works legally and responsibly, and that stays maintainable as sources change.

1
Discovery & scope

We map out your sources, the fields you want, the frequency and where the data is going. At the same time we assess the legal position: robots.txt, terms of use, whether an official API or data export exists, and whether personal data is involved.

2
Design

We design the pipeline: crawl strategy, parsing and normalisation layer, storage model, and the approach to rate limiting, retries, logging and monitoring. Respect for the source and reliability are the starting points here.

3
Build & iteration

We build in short iterations with automated tests, structured logging and monitoring. You see working versions along the way and steer on sources, fields and priorities, so the scraper fits real-world use.

4
Go-live & management

Controlled go-live with scheduling, data validation and alerting, followed by ongoing management. If a source or the law changes, we adjust the scraper so your data collection keeps working reliably.

What web scraping software does in practice

We tailor every application specifically to your sources, fields and destination. Below are the features we most often deliver for organisations that want to collect publicly accessible web data in a structured way.

Crawlers and scrapers

Crawlers that find and visit the right pages, and scrapers that extract exactly the fields you need. We build them around your sources, so that only relevant, publicly accessible pages are retrieved, at a reasonable pace.

Scheduling

Runs on fixed times or intervals, tuned to how often a source changes and to a reasonable load. With spread-out timing and wait periods, the scraper runs smoothly and you always receive fresh data on time.

Parsing & data normalisation

Raw HTML is cleaned and converted into tidy, consistent records: prices as amounts, dates in one format, units standardised and duplicate records removed. This way the scraper delivers usable data rather than loose fragments of text.

Dynamic pages

For pages that only load their content after JavaScript runs, we use a headless browser that renders the page as a real visitor would. Where a source fetches its data through a public API, we prefer to connect to that directly, which is faster and more stable.

Storage & data pipeline

The collected data ends up where you need it: in a database, via an API, as an export to CSV or Excel, or passed on to a data warehouse. We connect fetching, cleaning, normalising and writing into a single, maintainable pipeline.

Monitoring and alerting

If a source changes structure, fields stay empty or the volume deviates from the norm, you receive an alert. With validation rules, retry attempts and logging, we catch temporary errors and make genuine changes visible quickly.

Who we build web scraping software for

Automated data collection plays a role in many sectors, each with its own type of source and its own purpose. For each of these, we build software that suits their sources, their fields and their agreements on speed and respect for the source.

Data teams

Teams that want their own maintainable data pipeline instead of fragile ad hoc scripts. We build scraping that integrates neatly into your existing stack and fits well with our data engineering approach.

Price comparison & e-commerce

Platforms and webshops that want to track prices, stock and ranges from public sources to stay competitive. The software fetches the data in a structured way and keeps it up to date, respecting the terms of use of each source.

Property & recruitment

Property platforms that keep track of public listings and recruitment agencies that want to monitor vacancies. The scraper gathers public advertisements in a structured way, with attention to GDPR wherever personal data is involved.

Market research

Research agencies that collect publicly available signals about markets, products or prices for analysis. We deliver clean, normalised datasets that are immediately usable, with logging so the origin of every record remains traceable.

Not yet sure about a large project?

Test your idea first: a working prototype in 1 day

With OneDayBuild, we turn your idea into something tangible in one day for €1,150, so you can see whether further development is worth the investment. Decide to go ahead with the full build? Then we credit the full cost.

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Technology and integrations

We build with a modern, maintainable stack and, where possible, connect to official APIs and data exports from sources, as this is more stable and tidier than scraping. We store the collected data in your existing environment through our services around database development, a data engineering platform and data integration. We set up every pipeline with rate limiting, retry attempts, logging and monitoring, so that data collection remains reliable and deals considerately with the source.

Python (Scrapy / Playwright) Node.js scrapers Headless browser rendering HTML / DOM parsing REST & API integrations PostgreSQL / SQL database Data warehouse & ETL CSV / Excel export Scheduling & queues Rate limiting & backoff Proxy and session management Data validation & deduplication Monitoring & alerting Structured logging Automated testing CI/CD pipelines

Why choose Appfront for your web scraping software?

Appfront builds bespoke software and always begins with a thorough analysis of your sources, the fields you require and the legal boundaries. Web scraping software must not only work technically but also operate legally and considerately, so you can build on it in the long term without antagonising your sources.

We build data collection that respects robots.txt and the terms of use of sources, collects only publicly accessible data and maintains a reasonable request rate. Where a source offers an official API or data export, we prefer to use it. We do not bypass logins, paywalls, captchas or other access restrictions, and where personal data is involved we take the GDPR into account.

You work with a dedicated point of contact who understands both the technology and the practice of data collection. We write clear documentation so that your own team can understand and manage the software: no black box, but transparent code and clear agreements on sources, speed, logging and monitoring.

Also see our wider data services: data engineering platform, data integration consulting, database development and custom software. Do you have any questions? Get in touch with us.

  • Custom web scraping and data extraction software
  • Respect for robots.txt and terms of use
  • Publicly accessible data only, no bypassing of access restrictions
  • Reasonable request rates and rate limiting
  • GDPR compliance for personal data, with data minimisation
  • Handling dynamic, JavaScript-driven pages
  • Parsing and normalisation into clean, usable data
  • Storage in a database, API or CSV, and a maintainable pipeline
  • Monitoring and alerting for changes to sources
  • A dedicated point of contact and clear documentation

Legality, privacy and care in web scraping

Collecting publicly accessible data may be permitted, but there are clear boundaries. We build scraping that respects a website's robots.txt and terms of use, maintains a reasonable request rate and does not overload the server. We only collect publicly accessible data and do not bypass logins, paywalls, captchas or other access restrictions. Where a source offers an official API or data export, we prefer to use it.

Where personal data is concerned, we take the GDPR into account: a lawful basis, data minimisation and processing only what the purpose requires. We also observe copyright and database rights, as taking substantial parts of a database or protected material is not automatically permitted. If in doubt, we advise checking the legal position in advance, possibly with your own lawyer, so that you know the framework within which you are working.

On the technical side, we also work with care: encryption in transit and at rest for the collected data, role-based access, and structured logging so that the origin of every record remains traceable. Discuss your situation without obligation via our contact form.

  • Respect for robots.txt and the terms of use of sources
  • Collecting publicly accessible data only
  • No bypassing of logins, paywalls, captchas or access restrictions
  • Reasonable request rate, not overloading servers
  • Preferably using an official API or data export
  • GDPR for personal data: lawful basis and data minimisation
  • Observing copyright and database rights
  • Encryption, role-based access and logging on the collected data

Frequently asked questions about web scraping software

Answers to the questions we are asked most often about custom web scraping and data extraction software.

Web scraping software automatically collects data from websites and converts it into a structured format that you can use in a database, API, dashboard or spreadsheet. A crawler visits pages, a scraper reads the relevant fields, and a parsing and normalisation layer makes the data consistent and usable. Custom software lets you set this up around your own sources, fields and frequency, rather than working with a standard tool that does not quite fit. Appfront builds scraping that only collects publicly accessible data and that respects robots.txt and the terms of use of sources.

Collecting publicly accessible data can be permitted, but there are clear boundaries. We build scrapers that respect a website's robots.txt and terms of use, keep to a reasonable request rate, and do not overload the server. We only collect publicly accessible data and do not bypass logins, paywalls, CAPTCHAs or other access restrictions. Where personal data is involved, we take the GDPR into account, with a lawful basis and data minimisation. We also observe copyright and database rights. When in doubt, we recommend checking the legal position in advance, ideally with your own legal adviser.

We read and respect a source's robots.txt and abide by its terms of use. In practice, that means we do not crawl excluded paths, and we apply a sensible rate and crawl delay so the website is not placed under unnecessary strain. Where a source offers an official API or data export, we prefer to use it rather than scrape, as that is more stable and more considerate. This allows us to build data collection that stays reliable over the long term without working against the sources.

Yes. Many modern websites only load their content after JavaScript has run. For such pages we use a headless browser that renders the page just as a real visitor would, so the data becomes available to read. Where a page retrieves its data from an underlying public API, we prefer to connect to that directly, as it is faster and more stable. We remain within what is publicly accessible and do not circumvent access restrictions.

Websites change, and scrapers built too rigidly around the old structure break as a result. That is why we build in monitoring and alerting: if the structure of a page changes, if fields remain empty, or if the volume of data collected deviates from what is normal, you receive a notification. We add validation rules, retries with back-off and logging, so that temporary errors are handled and genuine changes become visible quickly. This keeps the data collection maintainable, rather than a black box that quietly delivers incorrect data.

We tailor this to your situation. We can write the data to a database, make it available via an API, export it to CSV or Excel, or pass it on to a data warehouse or existing system. We often build a small data pipeline that links together fetching, cleaning, normalising and writing, with scheduling so it runs at fixed times. For storage and further processing, we are happy to connect with our data engineering and database development services.

We build custom software. Standard scraping tools work until a source or field structure differs slightly from what was expected, or until the scale, frequency or legal care required exceeds what such a tool can handle. Custom software aligns with your sources, your fields, your storage and your agreements on speed and respect for the source. After an initial consultation, we determine together which sources and functionality matter most and in what order we develop them, without promising a fixed timeline or price that we cannot yet substantiate.

We build for organisations that want to collect publicly accessible web data in a structured way: data teams that want their own pipeline, price comparison and e-commerce businesses that want to track prices and ranges, market research agencies that gather market signals, property platforms that monitor listings, and recruitment agencies that want a clear view of vacancies. In every case we build data collection that works lawfully and cleanly, and that fits your existing systems and processes.

Ready to build your web scraping software?

Tell us which sources you want to monitor and what data you need, from prices and ranges to vacancies and market signals. We are happy to think along with you on crawl strategy, parsing, storage, reliability and the legal framework. In a no-obligation first conversation, you will get a clear picture of what is possible with custom software that works lawfully and cleanly and fits your organisation.

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