Among web scraping companies, AHK.AI stands out for managed infrastructure, compliance, and SLAs. We engineer high-availability crawlers, manage proxies, build QA pipelines, and deliver normalized datasets or APIs so product, research, and growth teams can trust the intelligence layer.
What You'll Get
Dedicated account manager and development team
Enterprise-grade SLA (99.9% uptime)
GDPR & CCPA compliant data handling
Custom integration with your AWS/Azure/Snowflake
24/7 monitoring and rapid fix for site changes
How We Deliver This Service
Our consultant manages every step to ensure success:
1
Consultation: We understand your data needs and business goals.
2
Architecture: We design a scalable scraping infrastructure.
3
Compliance: Legal review of target sites and data usage.
4
Execution: Our team builds, tests, and deploys the spiders.
5
Maintenance: Continuous monitoring to ensure data flow never stops.
Freelancers can disappear or struggle with scale. An agency provides continuity, legal compliance, and the infrastructure to handle millions of requests.
Do you offer SLAs?
Yes, our retainer packages come with Service Level Agreements guaranteeing data delivery times and quality standards.
Can you handle millions of pages?
Yes, our distributed architecture is designed to scrape millions of pages per day without performance bottlenecks.
Client Reviews
★★★★★ 5
based on 312 reviews
★★★★★ 5
Catalog data finally reliable
We hired AHK.AI to monitor competitor pricing and stock across ~35 retail sites with frequent layout changes. Their crawler infrastructure handled bot defenses cleanly, and the proxy strategy stopped our daily failures. We receive a normalized dataset with SKU matching, currency normalization, and change flags that our merch team trusts. The 24/7 monitoring matters—when two sites rolled out new PDP templates, they patched within hours and our dashboards stayed intact.
Project: Competitor price & availability scraping pipeline feeding Snowflake and Looker for daily repricing
★★★★ 4.5
Solid SLA and support
We needed lead intelligence from public directories and review sites for our sales ops workflows. AHK.AI set up an API that posts cleaned company records into our AWS environment and dedupes them against existing accounts. The dedicated account manager kept scope tight, and the SLA has been real—uptime is consistent. My only nit: initial field mapping took a couple extra iterations before it matched our internal schema, but once locked, it’s been stable.
Project: Directory + review site scraping to enrichment API integrated with AWS Lambda and our CRM
★★★★★ 5
Compliance-first data partner
Our compliance team was cautious about any scraping vendor. AHK.AI walked us through their GDPR/CCPA approach, data minimization, and retention policies, which made procurement smoother. They built crawlers to collect provider directory updates and accepted insurance indicators from public sources, then delivered a normalized feed with audit logs. Their QA pipeline caught weird edge cases like duplicated NPI entries and location aliases. The ongoing monitoring is a huge relief for our data governance program.
Project: Provider directory change tracking with normalized exports and audit trail delivered to Azure Data Lake
★★★★★ 5
Listings pipeline stays current
We aggregate rental listings and needed high-availability crawlers that could survive constant anti-bot changes. AHK.AI engineered a system to pull listing details, price drops, and status changes from multiple portals, then standardized address fields and geocoding inputs. They also implemented a “diff” layer so our analysts can see what changed per property. When one portal introduced dynamic rendering and shifted selectors, they fixed it overnight and our ingestion never missed a day.
Project: Multi-source rental listing ingestion with change detection feeding Snowflake and internal search index
★★★★ 4
Great data, slower kickoff
The output quality is excellent: clean, consistent datasets with clear lineage. We use AHK.AI to collect public filings, rate tables, and product terms for competitive analysis. The crawlers are resilient and the monitoring alerts are proactive. The only reason this isn’t a perfect score is onboarding—security review and network approvals took longer than expected, and we had to reschedule a couple of internal milestones. Once live, the service has been dependable.
Project: Public financial product and regulatory data extraction integrated into a controlled AWS VPC environment
★★★★★ 5
Powers our reporting stack
We manage SEO and paid campaigns for dozens of clients, and manual data pulls were killing us. AHK.AI built scrapers for SERP features, ad copy snapshots, and local pack rankings, then delivered an API our team pipes into dashboards. Their normalization is thoughtful—consistent keyword casing, location parameters, and timestamped runs. The account manager is responsive and speaks “agency,” not just engineering. When Google layouts shifted, fixes came fast with no drama.
Project: SERP and ad intelligence collection feeding client reporting dashboards via API
★★★★ 4.5
Cleaner supplier intelligence
We needed a reliable way to track distributor inventory and lead times across a messy set of supplier portals. AHK.AI delivered a normalized dataset with part numbers, MOQ, lead time ranges, and availability flags. The QA checks reduced bad joins in our MRP analysis, and their proxy management handled sites that previously blocked us. One supplier site still needs occasional manual validation due to inconsistent units, but overall the automation saved our team hours every week.
Project: Distributor inventory and lead-time scraping integrated into procurement analytics in Snowflake
★★★★★ 5
Enterprise-ready execution
For a market sizing engagement, we needed repeatable data collection with strong documentation. AHK.AI scoped sources, built crawlers with clear SLAs, and delivered a dataset that was already normalized for segmentation (region, category, company size proxies). Their team provided run logs and exception reporting, which made it easy to defend methodology to our client. The managed infrastructure meant we didn’t have to spin up anything internally, and turnaround on source changes was quick.
Project: Market intelligence scraping program with documented methodology and normalized outputs for consulting deliverables
★★★★ 4.5
Admissions insights at scale
We operate a platform that helps students compare programs, and we needed up-to-date tuition, deadlines, and prerequisite info from hundreds of school pages. AHK.AI set up crawlers that handle inconsistent templates and deliver a clean schema we can ingest. The integration into Azure was straightforward, and the monitoring catches when a university redesigns its site. I’d love a bit more self-serve visibility into crawl schedules, but the data accuracy has improved a lot.
Project: Program and tuition data extraction from university sites with Azure integration and normalized schema
★★★★★ 5
Stops disruptions cold
Our ops team depends on carrier and port status information, and those pages change constantly. AHK.AI built high-availability scrapers with alerts when fields shift, and they deliver a standardized feed we join to our TMS. The 99.9% uptime SLA isn’t just a slide—our incident count dropped sharply. When a carrier introduced a new captcha flow, they rerouted the approach and restored coverage the same day. This has become core infrastructure for us.
Project: Carrier, port, and service alert scraping feeding a normalized API consumed by our TMS and ops dashboards
