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KeklikTechnologies

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.

Plate 01
Pages in · typed records out · same shape every run

32

Platforms in production

9

Outcomes supported

Hourly

Tightest refresh available

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

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.