Capability 01

Data extraction

The data you need, from the platforms it lives on.

Tell us the platform and the fields. We build the extraction, run it, and deliver structured records into your warehouse, database, CRM, or spreadsheet — at the frequency the data is worth. No dashboard to learn, no seat licence, and no scraper for you to maintain when the source changes.

Request a platform

Plate 01

Pages in · typed records out · same shape every run

Platforms in production

Outcomes supported

Hourly

Tightest refresh available

Worked sample

Collected is not finished.

A real run from last week, processed the way client work is. The rows that arrive are the start; what you get is the brief at the end — decided at the level the decision is made, with the shortlist attached.

Worked sample · real data

Dentists, central Chicago

Rows collected143
Overlapping searches across the area return the same places more than once.
Unique places−43100
43 duplicate rows removed by place ID.
Open for business−199
1 permanently closed practice removed.
Practices−693
6 listings for individual dentists folded into the practice they work at.

48
Verified contacts: 40/93
Book online: 15
On the shortlist

Google Maps · collected 30 Sep 2026 · cleaned by Keklik

1 practice listing links to a plumbing company's website — held for review
3 emails dropped: 2 failed verification, 1 was a placeholder address
2 dentists with their own listing and no shared practice kept as solo practices

Practice brief

Dentists, central Chicago

30 Sep 2026
93 practices

01
Online booking is the gap. 40 of 93 practices take appointments online. In Heart of Chicago and Armour Square it is 1 of 16.
02
A ready shortlist. 15 practices are well reviewed — 4.5★ or better on 100+ reviews — and still take no online bookings.
03
One area runs hot on complaints. On the Near West Side 28% of all reviews are one-star, against 4% in the Loop.

Area	Practices	Median ★	Book online	1★ share
Chicago Loop	15	4.9	10/15	4.1%
South Loop	15	4.9	10/15	4.0%
South Side	12	4.8	5/12	8.4%
Near West Side	11	4.2	2/11	28.2%
Heart of Chicago	8	4.7	1/8	4.9%
Armour Square	8	4.7	0/8	13.7%
West Loop	5	4.9	3/5	3.2%
Pilsen	5	4.9	3/5	2.6%
South Lawndale	4	4.7	1/4	8.3%

What it is for

Start from the outcome.

Most clients know the job before they know the platform. Pick the outcome and we will tell you which sources feed it.

Lead generation

Company and contact data built to your targeting criteria, deduplicated against your CRM and delivered on a schedule.

Reviews

Review content and rating movement across platforms, for your locations and your competitors, as a monitored feed.

Social media

Profile, post, and engagement data across platforms for influencer vetting, competitor tracking, and campaign measurement.

Human resources

Job postings and talent-pool data for sourcing candidates, tracking competitor hiring, and benchmarking roles.

SEO

Search result tracking, competitor visibility, and content research across search engines and the platforms that now rank inside them.

eCommerce

Competitor price, stock, and assortment monitoring matched to your catalogue, plus resale and marketplace pricing.

Real estate

Property listings across portals with price history, agency attribution, and change tracking, by area.

Restaurants

Venue listings, menus, ratings, and review content across hospitality platforms — for suppliers, groups, and market research.

News

Media, forum, and social monitoring for brand mentions, competitor moves, and sector developments, with alerting.

Platforms

Running in production today.

Not on the list is not the same as not possible.

Property portals

Listings, price history, and advertiser attribution

Marketplaces and classifieds

Products, vehicles, and multi-category supply

Local, directories, and reviews

Business listings, ratings, and review content

Search and demand

Result pages, rankings, and interest over time

News and media

Headlines, article content, and story clustering

Social and professional networks

Profiles, posts, engagement, and hiring signals

Anything else

On demand, from the sites you name

Custom scrapingAny marketThe platform you need is not on our list. Send the URL and the fields; we build the extraction and run it like any other source.

Need a platform that is not here? Send the URL and the fields you need — most sources take days rather than weeks to add.

What you get

Records, not raw pages.

Every source is delivered against the same standard, whichever platform it came from.

Coverage you can check

Volume and coverage are reported per run and per area, so you can see what was actually captured rather than assume a green job means a complete one.

Per-run coverage against expected volume
Tiled sweeps so dense areas do not truncate
Diff against the previous run

Records that match between runs

Listings, places, and products keep a stable key, so a price change is a dated event on an existing record rather than a new row you have to reconcile.

Stable keys with attribute fallback
Change events with timestamps
Deduplication across sources

Fields, not page dumps

Specification blocks are parsed into typed fields — mileage, surface area, energy rating, engagement rate — so the data is usable on arrival.

Typed fields with a declared null policy
Computed metrics where they are the point
One schema across comparable sources

Freshness you choose

Hourly where a new listing is worth money within the day, monthly where a directory is enough. Each source and area is scheduled separately.

Per-source and per-area schedules
Watchlists crawled tighter than the market
Change-only feeds as well as full snapshots

Delivered where you work

No portal to learn. Records land in the warehouse, database, CRM, or sheet your team already opens.

Postgres, BigQuery, and object storage
CRM writes with deduplication
Webhooks, sheets, and flat files

Kept running

Sources change their markup without warning. Watching for that and fixing it is part of the service rather than a change request.

Structural drift monitoring
Alerting before bad data ships
Parser fixes inside the support window

Delivery

Into your stack.

Same schema on every run, in the format your team already consumes. If it needs to land in three places, it lands in three places.

Formats

JSON
NDJSON
CSV
Parquet

Destinations

Postgres
BigQuery
S3-compatible storage
Webhook
Google Sheets
HubSpot · Pipedrive · Salesforce

Schedules

Hourly
Daily
Weekly
Monthly
On demand

Feed types

Full snapshot
Change-only feed
Watchlist
One-off backfill

Plate 01 · stack

Python
Scrapy
Playwright
Postgres
DuckDB
BigQuery
S3-compatible storage
Prefect
Docker
Grafana

10 tools in regular use

Questions

Asked before.

Is this a product we log into?

No. It is a managed service: we build the extraction to your requirements and run it, and the data arrives in your stack. There is no dashboard to learn and no seat licence.

Can you add a source that is not listed?

Usually yes. The list is what we run today, not the limit of what we build. Send the URL and what you need from it.

One-off pull or ongoing feed?

Both. One-off extractions and historical backfills are priced as a project; ongoing feeds are a monthly service that includes keeping them working.

What volume can you handle?

Volume is a scoping question rather than a technical ceiling — national coverage across several portals is normal. Cost scales with pages fetched and how often, and we estimate both before you commit.

What format does the data arrive in?

JSON, NDJSON, CSV, or Parquet, into Postgres, BigQuery, S3, a webhook, your CRM, or a spreadsheet. Same schema on every run.

Who owns the data?

You do. Where the engagement includes handover, you get the extraction code as well.

Next step

Tell us the platform and the fields.

Send a URL and a list of what you need from it. You will get back what is achievable, at what frequency, and what it costs to run — usually within a day.

Request a source How we work