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PyronetsPyronets
Data Collection

Custom Data Collection From Any Website

We collect the exact data you need from any public website (e-commerce listings, business directories, reviews, job boards, real estate, and more) cleaned, structured, and ready to use.

Kept running

Collection is a standing commitment, not a one-off pull.

600+
Consecutive delivery days on our longest-running pipeline
07:00 UTC
The same window, every single day
Included
Repair when a source changes shape, never re-quoted
See the receipts
The problem

The data you need exists, but accessing it at scale is the challenge

Valuable public data is scattered across hundreds of websites in inconsistent formats. Aggregating it manually is impractical, and building in-house collection systems takes months of engineering time with no guarantee of long-term reliability.

  • Manually collecting data from websites is slow, error-prone, and doesn't scale beyond a few hundred records
  • Building in-house scrapers requires engineering capacity and ongoing maintenance most teams can't spare
  • Data quality varies dramatically across sources without a standardized collection and validation pipeline
  • Multi-website aggregation requires combining incompatible formats and resolving naming inconsistencies
  • Keeping datasets current requires continuous recollection that compounds the operational burden
Our approach

End-to-end custom data collection built around your exact requirements

Pyronets designs and operates data collection pipelines for any type of web data. We handle source identification, extraction, aggregation, cleaning, and delivery, a complete managed service with no scraping infrastructure required on your end.

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

Multi-Source Aggregation

Collect data from dozens or hundreds of websites simultaneously and aggregate it into a single unified dataset with consistent field names, formats, and deduplication.

Geographic & Vertical Coverage

Collect data across any geography, language, or vertical market. Multi-country collection with regional normalization for addresses, currencies, and formats.

Flexible Collection Schedules

From one-time historical snapshots to hourly recurring collection, the schedule is entirely configurable. Multiple sources can run on different frequencies within the same project.

Data Validation & Quality Assurance

Every collected record is validated against field requirements, type rules, and range checks. Records failing QA are quarantined and reported separately with failure reasons.

Custom Field Schemas

We collect exactly the fields your project requires, no more, no less. Output schemas are defined upfront and enforced throughout the collection lifecycle.

Multiple Delivery Formats

Datasets are delivered in your preferred format (CSV, JSON, Excel, XML, database insert, or SFTP) with consistent structure across every collection run.

Schema

Fields we collect.

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

Business Name / Title
Primary name or title of the listed entity
Contact Details
Phone, email, and address where publicly available
Description / Summary
Full or truncated description text for each listing
Category / Tags
Industry categories, tags, or classification labels
Ratings & Review Count
Average rating and total review volume
Location Data
Full address, city, state, country, and coordinates
Website URL
Official website link for the listed entity
Source Platform
Which website or platform the record was collected from
Listing Date
When the listing was first published or last updated
Custom Fields
Any domain-specific fields defined for your project
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 Scope & Sources

Tell us what types of data you need, which websites or categories of sites to collect from, the fields required, and your intended use. We scope the project and confirm feasibility.

02

Pipeline Development

We build collection pipelines for each source, define the output schema, and implement normalization and validation logic tailored to the data types involved.

03

Sample Review & Approval

A sample dataset covering all sources is delivered for your review. You confirm field coverage, format, and quality before full collection begins.

04

Full Collection & Ongoing Delivery

Full-scale collection runs on your schedule. Datasets are delivered in your format at every cadence, with monitoring ensuring coverage and quality are maintained.

Applications

Common use cases.

01

Business Directory Building

Aggregate business listings from Yelp, Google Maps, Yellow Pages, and niche industry directories into a unified, searchable database for sales or market research.

02

Consumer Review Aggregation

Collect product or business reviews from Trustpilot, G2, Capterra, Amazon, and other platforms for sentiment analysis, competitive benchmarking, or product research.

03

Job Market Research

Collect job postings from job boards and company career pages to track hiring trends, in-demand skills, salary ranges, and geographic demand patterns.

04

E-commerce Catalog Research

Gather product listings, categories, prices, and attributes from multiple retailers to build market maps, identify catalog gaps, or inform private label decisions.

05

Location Data Collection

Collect store locations, branch offices, service area information, and geographic coverage data from business websites and directories for mapping and analysis.

06

Public Dataset Compilation

Compile and aggregate publicly available government, NGO, or academic data from multiple portals into unified research-ready datasets with consistent formatting.

Delivery formats

Pick whatever drops straight into your stack.

CSVExcel (XLSX)JSONXMLSFTPGoogle SheetsREST APIDatabase Insert

Industries served

Where this dataset tends to be used.

Market ResearchLead Generation & SalesE-commerce & RetailReal EstateRecruitment & HRFinancial ServicesTechnology & SaaSConsulting & Analytics
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

Yes. Multi-source collection and aggregation is a core capability. We normalize field names, formats, and data types across all sources so you receive one consistent dataset regardless of how many sources are involved.

We support recurring collection at any frequency, hourly, daily, or weekly. Each run can append new records, update existing ones, or deliver only changed records depending on your preference.

Absolutely. One-time project-based collection is supported. We collect the full historical snapshot you need and deliver it as a single dataset with no ongoing commitment required.

We collect from any publicly accessible website: directories, marketplaces, review platforms, news sites, government portals, job boards, real estate listings, and any specialized web source relevant to your project.

Every collection run includes a quality report showing record counts, field completion rates, validation pass rates, and any anomalies detected. We also deliver a sample before full collection so you can verify quality upfront.

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.

Lead GenerationE-commerceHR TechFinanceTravel & HospitalityB2B SaaSHealthcareEducation

Sample output

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

sample_output.csv
sourcecompany_nameindustrylocationemployee_countcollected_at
linkedin.comAcme Analytics IncSoftwareNew York, NY2402025-05-19 06:00
crunchbase.comBuildTech SolutionsConstruction TechAustin, TX852025-05-19 06:00
yellowpages.comMetro Dental GroupHealthcareChicago, IL322025-05-19 06:00
3 of 342,120 records shown ยท CSV ยท Delivered daily at 06:00 UTC

Any Source, Any Data Type

We collect from every category of public web source, structured or unstructured.

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E-commerce

Product listings, prices, reviews, availability from any online retailer.

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Directories

Business listings, contact records, industry registries, and professional profiles.

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Reviews & Ratings

Customer reviews, star ratings, and sentiment data from review platforms.

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Job Boards

Job postings, salary data, skills requirements from 800+ boards.

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Real Estate

Property listings, prices, rental data, and market analytics.

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Marketplaces

Multi-seller marketplace data, seller ratings, and product comparisons.

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News & Content

Articles, publications, press releases, and content for media monitoring.

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Location Data

Business addresses, coordinates, opening hours, and geographic data.