Fully managed · SLA-backed delivery

Managed Data Pipelines

We run your web data pipelines from crawling to delivery, so your engineers can stop maintaining scrapers.

Self-healing pipelines
Schema-stable output
750+ enterprise clients
Sample viewpipeline · run 4,182 on schedule
CrawlSource coverage and scheduling
412 sources
UnblockAnti-bot defenses handled on our side
99.4% success
ValidateQuality checks, dedupe, normalize
schema v4 · stable
DeliverStraight into your stack
daily 06:00 UTC
Source layout change detected. Pipeline adapted.Fixed on our side. Delivery window unaffected. Nobody paged.
SnowflakeBigQueryAmazon S3APIwebhook
Trusted by enterprise teams worldwide
CMMI Level 3 Appraised
ISO 27001:2022 Certified
GDPR
ISO 9001
Managed data pipelines

What APISCRAPY Delivers

We run the entire pipeline end to end: crawling, unblocking, quality checks, and delivery. Your team defines what data they need and where it should land. We handle everything in between.

When a target site changes, we adapt the pipeline on our side. The feed keeps running. Nobody on your team gets paged.

Define the data you needYou list the sourcesYOURS
Crawling and schedulingWe set up crawlers for each source and run them on your schedule.OURS
Unblocking and maintenanceWe handle anti-bot defenses and fix crawlers when a site changes.OURS
Quality checks and normalizationWe validate, deduplicate, and normalize every batch before it ships.OURS
Choose where it landsYou pick the format and destinationYOURS
Pricing

Scoped to Your Sources, Frequency, and Volume

Pricing is custom rather than tiered, because no two pipelines share the same sources, schedule, or volume. We size each engagement after a short scoping call.

Core Capabilities

Self-healing pipelines

We detect site structure and anti-bot changes and fix the pipeline on our side.

SLA-backed delivery

Uptime and delivery windows are written into your SLA, with reporting against each one.

Schema-stable output

Validated, deduplicated, normalized data in JSON, JSONL, CSV, or Parquet, versioned so a schema change doesn't break your downstream systems without warning.

Direct integration

Feeds land directly in Snowflake, BigQuery, or Amazon S3, or arrive through an API or webhook.

Who Uses Managed Data Pipelines

Data engineering

Data engineering teams tired of fixing broken scrapers instead of building product

Analytics and BI

Analytics and BI teams that need the same data, in the same format, on a fixed schedule

Scaling companies

Companies scaling from a handful of sources to hundreds without growing headcount to match

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

Managed Data Pipeline Questions

What is a managed data pipeline?

A managed data pipeline is a data feed that an outside team builds, runs, and maintains for you. For web data, that covers crawling sources, handling anti-bot defenses, fixing breaks when sites change, checking quality, and delivering clean data to your warehouse or storage on a set schedule.

How is this different from your Web Data API?

The Web Data API is self-serve: your developers call an endpoint and handle the rest. With Managed Data Pipelines, we run the whole operation, so your team doesn't maintain anything.

What happens when a target site changes its structure?

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

Can this replace the maintenance work our in-house team currently does?

Yes. We take over the ongoing maintenance, including monitoring, fixes, and source changes, so your engineers can go back to building product.

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 your current setup and where it's breaking down.

Share your sources, your schedule, and where the data needs to land. We'll scope the pipeline and send a free sample.