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PyronetsPyronets
Managed Service

Web Scraping, Fully Managed

We build, run, and maintain custom pipelines for agreed public sources, so your team receives clean, structured data without owning the collection infrastructure.

Built for production

The operating controls behind a dependable public-data pipeline.

Source review
Access, fields, update patterns and feasibility checked first
Stable schema
Source changes absorbed without changing your output
Managed delivery
Monitoring, validation and maintenance included
See the receipts
The problem

Building and maintaining scrapers is harder than it looks

Websites change constantly, dynamic pages need careful orchestration, and small source changes can silently damage a dataset. In-house collection often becomes a permanent engineering responsibility.

  • Layout, pagination, and response changes can break extraction without warning
  • JavaScript-rendered content requires headless browser infrastructure and careful orchestration
  • Responsible request pacing, retries, and source limits need continuous attention
  • Data cleaning and normalization adds hours of engineering work per source
  • Scaling from dozens to millions of pages requires dedicated, costly infrastructure
Our approach

A fully managed pipeline from URL to clean dataset

Pyronets handles pipeline development, responsible collection controls, scheduling, monitoring, data cleaning, and delivery. You define the approved sources and output; we manage the ongoing operation.

What you get instead

Structured records in your schema, not raw HTML
Extraction repaired by us when sources change
Delivery on a fixed schedule, with a QA report attached
Scope this dataset

What you get

Custom Scraper Development

Every scraper is purpose-built for the approved public sources in your scope. We handle pagination, dynamic content, and source-specific structure from day one.

Scheduled & On-Demand Crawls

Set a recurring schedule (hourly, daily, or weekly) or trigger extractions on demand via API. Your data stays fresh automatically without manual intervention.

Reliable Collection Controls

Rate-aware scheduling, caching, retries, browser automation, and source health checks keep collection stable without circumventing authentication or access controls.

Data Cleaning & Normalization

Raw scraped data is deduplicated, normalized, validated against your schema, and delivered clean, no post-processing required on your end.

Uptime Monitoring & Alerts

Automated monitoring detects failures, site layout changes, or data anomalies in real time. We fix issues proactively before they affect your downstream pipeline.

Flexible Data Delivery

Receive data via CSV, Excel, JSON, XML, REST API push, SFTP, or direct database insert, matched to your existing workflow.

Schema

Fields we collect.

A starting point, not a fixed list, the final schema is whatever you sign off on during scoping.

Page URLs
Exact URL of every page scraped
Scraped Timestamp
Date and time each record was extracted
Raw Text Content
Full visible text from paragraphs and headings
Structured Tables
HTML tables converted to clean normalized rows
Image URLs
Direct links to all images found on each page
Metadata Fields
Page titles, meta descriptions, and canonical URLs
Pagination Data
Data collected across all pages of multi-page results
Custom Fields
Project-specific fields defined in your approved data schema
HTTP Status Codes
Response codes for QA tracking and monitoring
Source Identifier
Which website or domain each record came from
Process

How your pipeline gets built

From first conversation to recurring delivery, with a sample you sign off on before anything runs on a schedule.

01

Define Your Requirements

Tell us the public sources, data fields, cadence, and format you need. We review feasibility, define the acceptance rules, and provide a written scope and quote before production.

02

Scraper Development

Our engineers build source-specific extraction logic for the approved scope, including JavaScript rendering and multi-level pagination.

03

Testing & Quality Assurance

We run thorough QA across edge cases (missing fields, layout variations, rate limits) and validate the full output against your schema before the first delivery.

04

Delivery & Ongoing Management

Data is delivered on your schedule. We monitor the pipeline, adapt to routine source changes, and manage maintenance as part of the service.

Applications

Common use cases.

01

Market Research

Aggregate public web data from industry sources, news sites, and directories to build comprehensive market intelligence without manual data entry.

02

Business Directory Research

Structure publicly listed business names, locations, categories, websites, and commercial contact details from approved directories.

03

Content Aggregation

Collect articles, product descriptions, and listings from multiple sources into a unified database for your platform or internal knowledge base.

04

SEO & SERP Tracking

Monitor search engine results pages, track keyword rankings, and collect SERP features across regions, devices, and languages on a recurring schedule.

05

Price Benchmarking

Collect competitor prices, availability, and promotions across dozens of websites to inform dynamic pricing strategies and merchandising decisions.

06

Compliance Monitoring

Track how your brand, products, or terms are represented across third-party websites, marketplaces, and affiliate sites for brand safety and legal compliance.

Delivery formats

Pick whatever drops straight into your stack.

CSVExcel (XLSX)JSONXMLREST APISFTPGoogle SheetsDatabase Insert

Industries served

Where this dataset tends to be used.

E-commerce & RetailFinance & InsuranceMarket ResearchReal EstateMedia & PublishingTravel & HospitalityRecruitment & HRLegal & Compliance
Quality

Validated before it reaches you.

Every batch runs the full validation suite before delivery. If a batch fails, it does not ship. We investigate and repair the extraction first, and you get told what happened.

Type conformance
Every field matches its declared type
Range and sanity
Values fall inside agreed bounds
Null-rate thresholds
Coverage flagged when it drops
Duplicate resolution
Resolved against your chosen key
Schema drift
Source structure changes caught early
Volume variance
Unexpected record counts halt delivery
Questions

Frequently asked questions

Most scrapers are ready within 3โ€“7 business days depending on site complexity. Simple, static sites can be turned around in 1โ€“2 days. We provide a firm timeline estimate during project scoping.

Our monitoring system detects layout and structure changes automatically. We update the affected scraper and restore normal delivery, typically within a few hours. Maintenance is fully included in your service.

Yes. We use headless browser automation for sites requiring JavaScript execution, including single-page applications, React/Angular apps, infinite scroll, and lazy-loaded content.

The legal position depends on the source, requested fields, intended use, contractual terms, and applicable jurisdiction. We focus on publicly accessible data, do not circumvent access controls, and review privacy and project boundaries during scoping. Clients should obtain legal advice for their specific use where appropriate.

We review public accessibility, page behavior, update cadence, rate limits, and expected volume before quoting. We use responsible request pacing and standard browser automation where appropriate, and we do not circumvent authentication or access controls. If a source cannot be collected reliably and responsibly, we say so before you commit.

Tell us the sources. We'll send back a sample.

Describe the sites and the fields you need. You'll get a proposed schema, a real sample extracted from those sources, and a fixed price, before any commitment.

No retainer required to find out whether your sources are feasible.

Sectors this data serves

Sectors this dataset commonly serves. Schema and cadence are set per project.

E-commerceRetailAI & Machine LearningReal EstateFinanceRecruitmentMarket ResearchTravel

Sample output

An illustrative preview of delivered records. The real schema is whatever you sign off on.

sample_output.csv
source_urlpage_titleh1_textextracted_atrecord_id
amazon.com/product/B09XWireless Earbuds ProWireless Earbuds Pro โ€” Premium Audio2025-05-19 06:01:22rec_0041
bestbuy.com/product/3321Sony WH-1000XM5Sony WH-1000XM5 Noise Canceling2025-05-19 06:01:23rec_0042
target.com/p/apple-watchApple Watch SE 2nd GenApple Watch SE โ€” GPS + Cellular2025-05-19 06:01:25rec_0043
3 of 241,832 records shown ยท CSV ยท Delivered daily at 06:00 UTC

From Raw HTML to Clean Structured Data

We handle every step of the transformation. You receive only the structured data you need.

BeforeRaw HTML source
<div class="product-wrapper x821">
<span class="prc" data-v="9">$&amp;19.99</span>
<p class="nm hidden">Widget <!-- --></p>
<script>trackView('p',{id:4421})
</script>
<div style="display:none" class="meta">
category: electronics | sku: WDG-4421
</div>
AfterStructured dataset
namepriceskucategory
Widget Pro$19.99WDG-4421Electronics
Widget Mini$9.99WDG-4422Electronics
Widget Max$29.99WDG-4423Electronics
โœ“Clean field names
โœ“Type-validated
โœ“Deduplicated
โœ“Schema-normalized