Fully managed extraction layer

Managed Web Scraping for Data Engineers

Stop maintaining scrapers. Get back to the pipeline work you were actually hired for.

No maintenance queue
Versioned, validated schema
750+ enterprise clients
01 · sources
412 target sites
Anti-bot defenses
Layout changes
Schedule + backfills

Site changes, blocks, and structure shifts get handled on our side.

Sample view02 · APISCRAPY running
Crawl412 sources
Unblock99.4% success
Validate· deduplicated
Deliverdaily 06:00 UTC

Validated and deduplicated before it reaches you.

03 · your stack
SnowflakeBigQueryAmazon S3REST APIwebhook
Schema v4 stable · no downstream jobs broken
Trusted by enterprise teams worldwide
CMMI Level 3 Appraised
ISO 27001:2022 Certified
GDPR
ISO 9001
For data engineers

Where APISCRAPY Fits

We plug into the pipeline you already run. Structured data lands in your warehouse or through an API, already validated and deduplicated, so it becomes one more clean source feeding your models and dashboards.

There's no new system for your team to maintain.

Define the data you needYOURS
Extraction layerOURS
Site changes and blocksOURS
Validation and dedupeOURS
Models and dashboardsYOURS
Pricing

Scoped to Your Source List, Frequency, and Volume

Pricing is custom because every engagement has a different source list, schedule, and volume. Share your current setup, and we'll size it on a short scoping call.

What This Looks Like Day to Day

Drop-in delivery

Feeds land directly in Snowflake, BigQuery, or Amazon S3, or arrive through a REST API or webhook, so integration is a connection, not a project.

Schema you can rely on

Every feed has a versioned, validated schema. We tell you about schema changes before they reach your downstream jobs.

No maintenance queue

Site changes, blocks, and broken selectors are fixed on our side, so nothing lands in your team's backlog.

Built to scale with you

Add sources or increase frequency without re-architecting anything.

Data Teams That Use APISCRAPY

Data engineers

Data engineers who inherited “just scrape this site” as an unofficial second job

Platform teams

Platform teams standardizing how external data enters the warehouse

Teams outgrowing DIY scrapers

Teams that have outgrown a DIY scraper and need something that won't page them at 2 a.m.

For details on delivery formats, schema handling, and integrations, see Managed Data Pipelines.

Compliance & ethics

Built on the Same Foundation as Every APISCRAPY Engagement

Data handling under ISO 27001:2022 and ISO 9001 certification, collection limited to publicly available sources and aligned to GDPR, and delivery managed under CMMI Level 3-appraised processes.

CMMI Level 3 Appraised
ISO 27001:2022 Certified
GDPR
ISO 9001

Questions From Data Engineers

What is managed web scraping?

Managed web scraping is a service where an outside team builds, runs, and maintains the scrapers that collect web data for you. You define the sources, fields, and schedule. The provider handles crawling, anti-bot defenses, fixes when sites change, and quality checks, then delivers structured data to your warehouse or API.

Do we still need to write scraping code?

No. We run and maintain the entire extraction layer, and your team works with the output.

What happens if a source changes its structure?

We detect the change and adapt the extractor on our side. Most fixes land before your next delivery. If one needs more time, we tell you before the delivery window.

Can this sit alongside our existing ETL/ELT tools?

Yes. We deliver in the format and destination your stack already expects, so your ETL or ELT tools pick it up like any other source.

Should we use the Web Data API or a managed feed?

Use the Web Data API if your team wants to call an endpoint and control each request. Choose a managed feed if you want us to own the extraction layer and deliver finished data on a schedule.

Is the data collected legally?

We collect only from publicly available sources. We review each source before collection, respect robots.txt directives and site terms, and leave out personal data unless your use case needs it and the legal basis is documented.

Tell us which sources are taking up your team's time.

Send us your source list and target schema. We'll scope the feed and send a free sample.