1 · Get the data
Data extraction
Structured data from any public website, as a one-time dataset or a recurring collection.
You get: clean files, ready to use
Explore extractionWebsite scraping for every industry
Web scraping, done for you.
See the data before you pay.
Name any website and the data you need. We build the scrapers, keep them running when sources change, check every delivery and send clean data in the format you use. You review a free sample first.
Live exampleWebsite → clean data
| source | product | price | in_stock | quality check |
|---|---|---|---|---|
| Store A | Wireless keyboard (compact) | 45.00 | true | ✓ |
| Store B | Wireless ergonomic mouse | 27.49 | true | ✓ |
| Store C | Over-Ear ANC Headphones | 184.00 | true | ✓ |
- Free sample firstReal records from your sources before you pay anything.
- Traceable recordsEvery value keeps its source URL and collection time.
- Public data, collected responsiblyNo personal data by default. Sources reviewed during scoping.
- Reply within one business dayEvery inquiry gets a direct answer, not an autoresponder.
Services
Any website. Any data. Delivered clean.
2 · Track the changes
Monitoring & alerts
Prices, listings, terms and availability tracked over time, with alerts when something changes.
You get: alerts and a change history
Explore monitoring3 · Plug it in
Data feeds
Fresh data delivered straight into your systems on a fixed schedule, with a stable structure.
You get: an API, database or Sheets feed
Explore data feeds4 · Get the answers
Intelligence
Competitor, market and media data turned into clear summaries your team can act on.
You get: reports and dashboards
Explore intelligenceIncluded at every level
- Clean, consistent schemaMessy sources mapped to one structure, duplicates removed.
- Quality checksMissing or unexpected values flagged in every delivery.
- Traceable recordsEvery value keeps its source URL and collection time.
- Ongoing maintenanceScrapers updated when websites change, so data keeps flowing.
Use cases
What teams use Furnish Data for
How big is this market right now?
One clean dataset of every product or listing across the sites in your market.
- Example output · Market research
- Rental listings · 4,812 active · 6 portals · deduplicated
Which competitors lowered their prices this week?
Same products, every competitor store, with the exact time each price changed.
- Example output · Competitor pricing
- Wireless keyboard · Store B ·
$49→ $45 · Monday
How do we keep our dashboard updated automatically?
Fresh records land in your sheet, database or app every morning, in the same structure.
- Example output · Live dashboards
- Daily listings feed → Google Sheets · 1,240 rows · 06:00 UTC
Who covered our announcement this week?
Every mention across the outlets you care about, summarized by publication and topic.
- Example output · Media monitoring
- Trade journal · expansion story · new locations · source link
Built for any industry
If the data is on a public website, we can scope it. Don’t see yours? Tell us the websites
Before & after
Messy pages in. Clean records out.
Websites are built for people, not spreadsheets. Compare a real-looking product page with the record we deliver: the facts pulled out, standardized and checked before they reach you.
The website shows a promotional product listing with mixed text, symbols and marketing copy. The clean record contains only the facts: record ID, product name, price 45.00, previous price 49.00, currency USD, in stock, observation time, source URL and a passed quality check.
Sample Data
See exactly what you’ll receive
Before any project, download a sample delivery. It shows the file structure, the quality checks and the data dictionary you get with every dataset. Values are synthetic; the format is the real thing.
| source | match_key | price | prev. | change | observed (UTC) | qa_flag |
|---|---|---|---|---|---|---|
| Store A | KB-WL-1042 | 45.00 | 49.00 | −8.16% | Nov 2, 09:00 | |
| Store B | KB-WL-1042 | 47.99 | 47.99 | 0.00% | Nov 2, 09:02 | |
| Store C | KB-WL-1042 | 44.50 | 46.00 | −3.26% | Nov 2, 09:04 | |
| Store A | MS-ER-2201 | 29.99 | 29.99 | 0.00% | Nov 2, 09:00 | |
| Store B | MS-ER-2201 | 27.49 | 31.99 | −14.07% | Nov 2, 09:02 | |
| Store C | MS-ER-2201 | — | 28.50 | — | Nov 2, 09:04 | missing_price_and_stock |
| Store A | HD-NC-3310 | 189.00 | 199.00 | −5.03% | Nov 2, 09:00 | |
| Store B | HD-NC-3310 | 179.99 | 179.99 | 0.00% | Nov 2, 09:02 | |
| Store C | HD-NC-3310 | 184.00 | 189.00 | −2.65% | Nov 2, 09:04 | |
| Store A | MN-27-4K01 | 329.00 | 349.00 | −5.73% | Nov 2, 09:00 | |
| Store B | MN-27-4K01 | 339.99 | 329.99 | +3.03% | Nov 2, 09:02 | price_increase |
| Store C | MN-27-4K01 | 319.00 | 319.00 | 0.00% | Nov 2, 09:04 |
How It Works
You approve the data before the project starts
- 01
Tell us what you need
Share the sites, fields and refresh schedule. We confirm what can be collected and flag any source concerns up front.
- 02
Review a free sample
Check real records from your sources against your needs. Ask for changes until the structure is right.
- 03
Get a fixed quote and go
Approve the quote, format and schedule. We run the collection, check each delivery and handle source changes.
Our Standards
How we collect and deliver data
Clear rules, written down before collection starts, so you know what you’re getting and how it was gathered.
Public data only
We collect publicly available information. We don’t bypass logins or paywalls, and we don’t collect personal data unless you have a lawful basis and it’s agreed in writing.
Sources reviewed first
During scoping we review each source’s terms and robots.txt, and collect at a polite rate. If a source raises concerns, you hear about it before any collection begins.
Every record traceable
Each value keeps its source URL and collection timestamp, so anyone on your team can verify it.
Problems flagged, not hidden
Missing fields, duplicates and unexpected changes are flagged in every delivery, with the reason.
Fixed at our cost
If a delivery fails the quality checks we agreed on, we fix it and redeliver at no extra charge.
Your data stays yours
Datasets built for you are delivered only to you and are not resold.
Resources
Most helpful guides
Plain-language answers to the questions buyers ask first: what it costs, what’s legal and which approach fits. See all 6 guides ↗
Buying guide
How much does web scraping cost?
The five factors that drive price, and how to get an accurate quote.
Compliance
Is web scraping legal?
Public data, terms of service, personal data and key court cases.
Buying guide
Managed service vs scraping API vs in-house
Who does what in each approach, and how to choose.
Project planning
How to scope a web scraping project
A worked example and a copy-ready brief template.
About
Founder-led, so nothing gets lost in a handoff
Furnish Data is a founder-led web data service. You work directly with the founder, from the first scoping call through every delivery. No account managers, no ticket queues.
We take on a small number of projects at a time. That keeps response times short and means your pipeline gets real attention when a source changes.
Our goal is simple: data your team can use without cleaning it first, and a clear answer whenever something changes.
FAQ
Questions buyers ask first
Can you scrape any website?
Most public websites, yes, including JavaScript-heavy pages, catalogs, listings and directories. During scoping we check each source’s feasibility and terms, and tell you up front if a source can’t be collected reliably or appropriately.
Is web scraping legal?
Collecting publicly available, non-personal data is widely practised, but the rules depend on the source and how the data is used. We review each source’s terms and robots.txt during scoping and raise any concerns before collection. This isn’t legal advice; for sensitive use cases, check with your counsel.
How much does it cost?
Pricing depends on the number of sources, record volume and refresh frequency. You get a fixed quote after reviewing your free sample, before you pay anything.
What’s in the free sample?
A small set of real records from your sources, in your chosen format, with a data dictionary and a quality summary. You can ask for changes before approving it.
Which formats and destinations do you support?
CSV, Excel, JSON and Google Sheets are standard. Delivery to email, cloud storage, a database or an API endpoint is agreed during scoping.
What happens when a website changes?
Each run is checked. If a source changes and fields go missing, the delivery is flagged, the scraper is updated, and you’re told what happened. How we handle source changes
How quickly can we start?
You’ll hear back within one business day. The sample date is agreed during scoping and depends on how many sources are involved.
Contact
Request your free sample
Send the sites you want data from, the fields you need and how often you need them. We’ll reply within one business day with questions or a sample plan. No commitment until you approve the sample.
hello@furnishdata.com