Web Data ExtractionServices
Get the public web data you need as a tidy, refreshed dataset, built to survive layout changes and to stay on the right side of site rules.
Web Data Extraction Services: what the work involves
Many teams still collect competitor prices, tender notices or property listings by opening forty tabs and copying cells into a sheet. The task is dull, the results go stale by lunchtime, and each person records things slightly differently. When the data finally reaches a decision maker it is a week old and nobody trusts the formatting.
DevKey builds extraction jobs that visit the sources you name on a schedule, render the pages the way a browser would, and pull out the fields you defined. Where a page is irregular, a language model reads the messy text and maps it into your schema, while plain selectors handle the predictable parts because they are cheaper and steadier. Output lands in a database, a sheet or an API, with a log of every run so a silent failure becomes visible the same day.
Core features
Scheduled crawls with run logs
Each source runs on its own timetable, and every run records pages visited, rows captured and errors, so you can see when a feed went quiet.
Browser-rendered capture
Pages that load content with scripts are opened in a headless browser, which means the data you receive matches what a visitor actually sees.
Schema mapping for messy text
A model turns a free-text product title or listing blurb into structured fields such as size, unit and condition, with a fallback to blank instead of a guess.
Change detection
New, removed and modified records are compared with the previous run, so your team reads a short list of changes instead of re-reading everything.
Deduplication and normalisation
The same item scraped from three sources is merged, currencies and units are standardised, and each row keeps a link to its origin.
Delivery where you work
Results are pushed to PostgreSQL, Google Sheets, BI tools or a webhook, with an alert when a source stops returning the expected shape.
What we get right before launch
Legality and site terms
Not everything public is free to copy. We check terms of service and robots rules, avoid personal data, respect rate limits and tell you plainly when a source is better reached through an official API or data licence.
Fragility of selectors
Sites redesign without warning. We add health checks that compare each run with expected field counts, so breakage triggers an alert and a repair task, not months of quietly wrong data.
Model cost on large crawls
Sending every page through a language model is expensive and slow. We use deterministic parsing first and call a model only for the fields it is genuinely needed for, and we report the per-record cost.
Tools and technology
- Python
- Playwright
- Scrapy
- OpenAI GPT
- Google Gemini
- PostgreSQL
- FastAPI
- n8n
- Docker
Common questions, answered
Can you scrape any website?
Not any. We assess each source for terms, technical protection and personal data first. Some are fine, some need an official feed, and a few we decline. You get that assessment in writing before any build starts.
What happens when the website changes its layout?
Validation checks notice when expected fields disappear or counts drop and raise an alert. A developer then updates the extractor. Model-assisted parsing tolerates small changes, though a full redesign still needs a fix.
How fresh can the data be?
Frequency depends on the source and how politely we can crawl it. Hourly or daily is common. Real-time feeds from a page rarely make sense, and an API is a better route when one exists.
Can the data include social media profiles?
Most social platforms restrict automated collection and personal data raises privacy duties. We generally steer towards official APIs, aggregate or business-level data, and sources where collection is clearly permitted.
More AI Agents & Automation services
All AI Agents & Automation servicesData Entry Automation
Stop paying skilled staff to retype information from one screen into another; capture it once, validate it, and write it to the right system.
Automated Report Generation
Have weekly and monthly reports assemble themselves from live data, complete with charts and a plain-language summary ready for a quick review.
Price Optimization Solutions
Price suggestions based on how your customers actually respond, kept inside margin floors and brand rules, and approved by you before they go live.
Ready to start your Web Data Extraction Services project?
Tell us what you need and we will come back with a clear scope, timeline and the questions worth answering before any build starts.