Scrape Any Site. Maintain Nothing.

Either, and the choice usually follows the use case rather than a preference. Where you need data on demand for a specific URL or query, you call an endpoint and get a response. Where you need a source monitored continuously, we run the collection on a schedule and deliver into your warehouse or object storage, with webhooks for anything that needs to arrive immediately. Plenty of engagements use both against the same source.

That is the thing you are actually buying, so it is our problem rather than yours. Extractors are monitored continuously and a structural change trips an alert well before it shows up as missing data. We patch upstream while the schema delivered to you stays fixed, which means nothing downstream needs to be touched. If a change causes a genuine coverage gap, we tell you which window was affected instead of quietly returning fewer records and letting you discover it later.

In the large majority of cases, yes. The approach is to behave like a legitimate browser — real rendering, sensible request rates, appropriate egress — rather than to attack the protection. Some sources are genuinely not worth collecting at an acceptable cost or risk, and when we hit one we will tell you that during scoping rather than take the engagement and underdeliver.

Collecting publicly available information is broadly lawful in the jurisdictions we operate in, but the answer depends on the source, the data, and what you do with it, and we treat that as a scoping question rather than a disclaimer. We collect public surfaces only, we honour a site’s stated crawling preferences, we do not bypass authentication, and we do not collect personal data outside a documented lawful basis. Every engagement includes provenance records per dataset and a DPA before delivery. If a source you want raises a real problem, we say so before the contract rather than after.

A straightforward source is usually collecting within days, and a complex one — heavy anti-bot, deep pagination, document parsing — within two to three weeks. Every engagement starts with a free sample run against your real target so you can judge the output before committing to anything.

Per engagement, driven by the number of sources, volume, refresh cadence, and delivery destinations, rather than per seat or per API call. Historical backfill is quoted separately from ongoing collection because they are genuinely different pieces of work. Predictable volumes get a fixed monthly price, so a busy month does not produce a surprise invoice.

Into the systems you already run. Records land as JSON, CSV, or Parquet in S3, GCS, or Azure Blob, or straight into Snowflake or BigQuery, on whatever cadence you set. Webhooks push new records to your endpoints as they are detected, which is how most customers wire alerting. A solutions engineer sets the schema, cadence, and destination with you during onboarding rather than handing you a docs page and wishing you luck.

Keeping the collectors working is our responsibility, not yours. Extractors are monitored continuously, and when a site changes we patch upstream while the schema we deliver to you stays fixed — so nothing downstream needs to be touched. If a change causes a genuine coverage gap we tell you which window was affected rather than quietly returning fewer records.

Yes, and we would rather you did. Every engagement starts with a free sample run against your own targets — your competitors, your catalogue, your keywords — and we hand back the actual dataset. Judging real output against your real requirements is the only useful evaluation, and it is a much better use of a first conversation than a slide deck.