Web scraping & data

Custom web scraping: structured data from any open source, with monitoring and support

Prices, products, listings, catalogs, registries, mentions — collected on schedule, cleaned, and delivered how you need it: API, CSV, spreadsheet, or straight into your database. A pipeline that doesn't break a month in — we watch it.

Get a source assessmentSee the case
  • Contract & NDA
  • Reply within 24 hours
  • Code and data are yours
  • 5+ projects on long-term support
This is for you if

Does this sound familiar?

  • You need marketplace data for analytics or pricing decisions
  • You're building a database of companies, listings or registry entries by hand
  • A freelancer built a scraper that broke the first time the source changed
  • You need regular monitoring of open sources for research or reporting
What you get

What's included — the actual deliverable

01

Collection pipeline

Resilient to layout changes, with retries, proxy rotation and data-quality checks.

02

Normalization

A consistent schema, deduplication, reference tables, change history.

03

Delivery

REST API, scheduled CSV / JSON / Parquet, spreadsheets, BigQuery / PostgreSQL.

04

Monitoring

Alerts when a source changes structure or the data volume drops unexpectedly.

Stack & integrations

PythonNode.jsPlaywrightPostgreSQLBigQueryS3Airflow
How it works

Steps and timeline

  1. 012-3 days

    Scope

    Source list, fields, frequency, delivery format. We check legal access and availability first.

  2. 025 business days

    Pilot on one source

    A real extract you can check for quality and completeness.

  3. 032-4 weeks

    Production

    All sources, scheduling, delivery, monitoring.

  4. 04ongoing

    Ongoing support

    We fix pipelines when sources change and add new ones.

Case study

What this looks like on a real project

export_2026-09-22.csv — 80,412 rows
sourceskupriceold_pricein_stockcollected_at
marketplace-a.comSKU-2291449.90479.90true09:00:12
marketplace-b.comSKU-2291462.00—true09:00:14
retailer-c.comSKU-2291454.90—false09:00:15
retailer-d.comSKU-2291447.00469.90true09:00:17
marketplace-e.comSKU-2291452.30—true09:00:19
pipeline: 5/5 sources OKnext run in 58 min
Public sectorMulti-country

Open-data collection for a public-sector analytics team

Regular collection and normalization of open-source data for a public agency's analytics unit: scheduling, completeness checks, change history, exports in an agreed format. Public data only, no bypassing of access controls.

scheduled
mode
public only
sources
completeness + history
controls
ScrapingPublic sectorMonitoring
Price & timeline

Rough pricing, so you know what you're looking at

Price
pilot on 1 source from $800 · project from $2,500 · support from $300/mo
Timeline
5 days to a pilot, 2-4 weeks to production

An exact estimate follows a short call, usually within 24 hours, and is fixed in writing before work starts.

Get a source assessment

What affects the price

  • 1Number of sources and data volume
  • 2Refresh frequency
  • 3Source protection complexity
FAQ

About web scraping & data

Can't find the answer — email us.

Is this legal?

We only work with publicly accessible data, without bypassing authorization, CAPTCHAs or access controls, and we don't collect personal data. Every source is reviewed before a project starts.

What if a source changes?

Pipelines are monitored — we find out about breakage first and fix it as part of the support agreement.

What format do you deliver in?

API, scheduled files (CSV/JSON/Parquet) to S3/SFTP, spreadsheets, or directly into your database / BigQuery.

Contact

Get a source assessment — describe the task

Two sentences are enough: what you need and by when. We'll come back with an approach, timeline and rough price.

it@rinolens.comWe reply within a business day
  • Contract & NDA
  • Reply within 24 hours
  • Code and data are yours
  • 5+ projects on long-term support
Budget (optional):

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