Fully Managed Service

Managed Scraping Done For You

DataFlirt handles every aspect of your data pipeline โ€” scraper development, proxy infrastructure, anti-bot evasion, quality monitoring, maintenance, and delivery. You define what you need. We build it, run it, and keep it running.

100%
Managed by Experts
5-7 Days
To First Delivery
SLA
Backed Uptime
Zero
Engineering Overhead
โ—† Enterprise Readyโ—† SOC 2 Awareโ—† GDPR Compliantโ—† 99.9% Uptimeโ—† Global Coverageโ—† 24/7 Monitoringโ—† API-Firstโ—† Managed Serviceโ—† Real-Time Dataโ—† Custom Schemasโ—† Bengaluru HQโ—† Enterprise Readyโ—† SOC 2 Awareโ—† GDPR Compliantโ—† 99.9% Uptimeโ—† Global Coverageโ—† 24/7 Monitoringโ—† API-Firstโ—† Managed Serviceโ—† Real-Time Dataโ—† Custom Schemasโ—† Bengaluru HQ
What & Why

What is a Managed Web Scraping Service?

A managed web scraping service means DataFlirt takes complete ownership of your data pipeline โ€” from initial scoping and scraper engineering through to ongoing operation, maintenance, and quality assurance. You do not need to hire data engineers, manage proxy infrastructure, monitor for site changes, or debug broken scrapers. You specify what data you need, where you want it delivered, and how often. We do everything else.

The economics of managed scraping are straightforward for most businesses. Building reliable scraping infrastructure in-house requires specialist engineering skills โ€” Python developers fluent in Playwright, proxy management, anti-bot evasion, and distributed systems. Hiring and retaining these skills is expensive, and the work is operational rather than strategic. A managed service converts this capital expenditure into a predictable operating cost, with expertise and infrastructure shared across multiple clients.

DataFlirt's managed service covers the full spectrum of scraping complexity. At the simpler end: scheduled extraction from stable, publicly accessible websites with clean HTML and predictable structure. At the complex end: real-time collection from JavaScript-heavy SPAs behind bot protection, authenticated session management, multi-source data pipelines with cross-source normalisation, and delivery into data warehouses with schema validation. We have the engineering depth to handle both.

Proactive maintenance is what separates a managed service from a one-time scraper build. Websites change โ€” layouts update, class names shift, authentication flows change, and anti-bot systems tighten. On DataFlirt's managed plans, our monitoring infrastructure detects extraction failures and our engineers remediate within SLA before you lose data continuity. You never wake up to an empty dataset because a site changed overnight.

Why Teams Choose Managed Over DIY
โšก
Speed to Data
From project kickoff to first delivery in 5-7 business days โ€” faster than hiring or building internally.
๐Ÿ”ง
No Maintenance Burden
Site changes, anti-bot updates, and infrastructure issues handled proactively by our team โ€” you never touch a scraper.
๐Ÿ’ฐ
Predictable Cost
Fixed monthly cost replaces unpredictable engineering time, cloud bills, and proxy spend managed separately.
๐ŸŽฏ
Engineering Depth on Demand
Access to specialists in Playwright automation, distributed systems, and anti-bot evasion without full-time hiring.
๐Ÿ“Š
Quality Guarantees
SLA-backed data completeness and accuracy with our monitoring catching quality issues before they reach your systems.
Capabilities

Everything You Need

Comprehensive extraction built for reliability, accuracy, and scale.

๐Ÿ—๏ธ
Custom Scraper Development

Purpose-built scrapers for your exact target sources โ€” not generic tools โ€” engineered by our team and tuned for each site's structure and anti-bot environment.

๐Ÿ”„
Proxy & Infrastructure Management

We source, rotate, and manage all proxy infrastructure โ€” residential, datacenter, and mobile โ€” matched to each target site's requirements.

๐Ÿ“Š
Data Quality Monitoring

Automated quality checks on every delivery: record count validation, field completeness, value range checks, and anomaly detection with human review escalation.

๐Ÿ””
Proactive Maintenance

Our monitoring stack detects scraper failures and site changes. Engineers remediate within SLA โ€” typically within hours โ€” before data loss occurs.

๐Ÿš€
Flexible Delivery

Data delivered to your preferred destination: S3/GCS bucket, PostgreSQL, BigQuery, Snowflake, webhook, or SFTP. Format: JSON, CSV, Parquet, or NDJSON.

๐Ÿ“ž
Dedicated Account Management

Named account manager and technical contact for your project. Regular delivery reports, pipeline health dashboards, and direct communication channel.

Data Fields

What We Extract

Every field you need, structured and ready to use downstream.

Custom SchemaYour Data FieldsScheduled DeliveryIncremental UpdatesChange DetectionQuality ReportsSLA DashboardWebhook AlertsS3 DeliveryBigQuery SyncSnowflake ConnectorAPI EndpointSFTP ExportParquet FilesJSON OutputCSV Export
Process

How Our Managed Scraping Service Works

A proven process that turns any source into clean structured data โ€” reliably.

01
Scoping Call
We learn your target sources, required fields, volume, refresh cadence, delivery format, and quality expectations in a focused discovery session.
02
Pipeline Build
Our engineers build scrapers, configure proxy infrastructure, and set up delivery pipelines โ€” all tested against your schema before go-live.
03
Pilot Delivery
Sample dataset delivered for your review. We refine field names, data types, cleaning rules, and delivery format until the output matches your spec exactly.
04
Production Launch
Full delivery goes live on your defined schedule. Real-time pipeline monitoring activated from day one.
05
Ongoing Operations
Proactive maintenance, quality monitoring, and account management run continuously. You receive regular reports and direct access to your account team.
Sample Output
response.json
{
  "status":       "success",
  "pipeline_id": "df_managed_0042",
  "client":       "acme-corp",
  "run_at":       "2025-03-21T04:00:00Z",
  "sources":      12,
  "records":      284920,
  "errors":       0,
  "delivery": {
    "destination": "s3://acme-data/scrapes/",
    "format":      "parquet",
    "webhook":     "200 OK",
    "latency_ms":  320
  },
  "next_run":     "2025-03-22T04:00:00Z"
}
Technical Stack

Enterprise-Grade Infrastructure

Built on proven open-source tools and cloud infrastructure โ€” no vendor lock-in.

๐Ÿ—๏ธ
Bespoke Scraper Engineering

Every scraper purpose-built for its target site โ€” not generic templates. Handles authentication, anti-bot, dynamic rendering, and pagination specific to each source.

๐Ÿ“ก
24/7 Pipeline Monitoring

Automated monitoring tracks delivery success rates, record counts, and quality metrics every run โ€” alerting engineers to issues before they compound.

๐Ÿ”„
Managed Proxy Fleet

We manage all proxy procurement, rotation strategy, and IP health monitoring โ€” freeing you from infrastructure operations entirely.

๐Ÿ“Š
Schema & Quality Management

Data schemas versioned and validated on every delivery. Field-level quality checks flag anomalies and incompleteness before data reaches your systems.

๐Ÿš€
Delivery Infrastructure

Native delivery connectors for S3, GCS, BigQuery, Snowflake, PostgreSQL, and custom webhooks โ€” maintained and monitored by our team.

๐Ÿ”ง
SLA-Backed Maintenance

Contractual SLA for issue response and resolution โ€” scraper failures triggered by site changes resolved within agreed windows.

Tools & Technologies
PythonPlaywrightScrapyaiohttpAsyncioNode.jsCrawleeRedisPostgreSQLBigQuerySnowflakeAWS LambdaDockerBright DataResidential ProxiesParquetAirflowdbtKafka
Use Cases

Built for Every Team

From solo analysts to enterprise data teams โ€” here's how organizations use this data.

01
Teams Without Scraping Engineers
Get production-quality web data pipelines without recruiting data engineers or building scraping expertise in-house.
02
Replacing Fragile DIY Scrapers
Migrate from brittle internal scripts that break constantly to a professionally managed, SLA-backed data pipeline.
03
Time-Critical Data Projects
Launch data programs in days rather than months โ€” ideal when a business decision depends on external data you do not yet have.
04
Multi-Source Data Aggregation
Consolidate data from dozens of sources into a unified, normalised dataset โ€” managed as a single pipeline engagement.
05
Agency Data Offerings
White-label DataFlirt's managed service to deliver data products to your clients without building internal scraping infrastructure.
06
Regulated Industry Data Programs
Managed service with documented compliance framework, data handling policies, and audit trails for regulated industry use cases.

Great Data Shouldn't Require a Dedicated Engineering Team

Web scraping is genuinely hard to do well and even harder to sustain. Sites change, anti-bot systems evolve, proxies degrade, and pipelines break silently. DataFlirt's managed service absorbs all of this operational complexity โ€” so your team spends its time using data to make decisions, not debugging scrapers that stopped working at 3am.

Pricing

Simple, Scalable Pricing

Start free and scale as your data needs grow.

Starter
$99/mo

For small teams and projects getting started with data.

  • 50,000 records/month
  • 5 data sources
  • Daily refresh
  • JSON & CSV export
  • Email support
Get Started
Enterprise
Custom

For large organizations with custom requirements.

  • Unlimited records
  • Dedicated infrastructure
  • Real-time delivery
  • SLA guarantees
  • Account manager
  • Custom integrations
Contact Sales
FAQ

Common Questions

Everything you need to know before getting started.

How quickly can we get started?
Typically 5-7 business days from contract signing to first data delivery for standard projects. Complex multi-source pipelines may take 2-3 weeks for the build phase.
What happens when a target website changes its structure?
Our monitoring detects extraction failures automatically. Engineers investigate and remediate within our SLA window โ€” usually within 4-8 business hours for critical pipelines. You receive proactive notification, not a missed delivery.
Can we add new data sources after launch?
Yes. Additional sources can be scoped and added at any time. Development time varies by source complexity โ€” simple additions can go live within days.
What does the quality monitoring cover?
Record count validation against expected volumes, field-level completeness checks, value range and format validation, duplicate detection, and anomaly flagging. Issues are reviewed by our team before delivery where possible.
Is there a minimum contract term?
Standard managed plans start at 3-month terms. Longer commitments receive preferential pricing. Month-to-month arrangements available for specific use cases at a premium.
Can you work with our existing data infrastructure?
Yes. We deliver to your existing stack โ€” whatever cloud storage, database, or warehouse you use. We also integrate with Airflow, dbt, and other orchestration tools your team already operates.
Get Started

Ready to Start Collecting Managed Scraping Data?

Join data teams worldwide using DataFlirt to power products, research, and operations with reliable, structured web data.