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Agency · Bright DataFree audit

AGENCY BRIGHT DATA: COLLECT WEB DATA AT SCALE WITHOUT GETTING BLOCKED

Hack'celeration is a Bright Data agency that helps businesses collect web data at scale without dealing with blocks, CAPTCHAs, or IP bans. We configure your entire data collection infrastructure so you can focus on what matters: using the data.

We set up residential and datacenter proxies, configure Web Unlocker for anti-bot bypass, build scraping pipelines with Scraping Browser, integrate SERP APIs, and connect everything to your data stack (Airtable, BigQuery, your CRM, Make, n8n).

We work with e-commerce companies monitoring competitor prices, market research firms collecting public data, SEO agencies needing SERP results at scale, and any business that needs reliable web data without the technical headaches.

Our approach: we build systems that actually work in production, not POCs that break after a week. Fast setup, clean architecture, and honest advice about what's possible.

Free 60min audit →See our approach →
Bright Data Agency — workflow & automation.
Hack'celeration Agency

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Why partner
with a Bright Data agency?

Because a Bright Data agency can transform unreliable scraping attempts into a production-ready data collection system that runs 24/7 without you touching it.

Bright Data is powerful, but it's also complex. Between residential proxies, datacenter proxies, Web Unlocker, Scraping Browser, and SERP APIs, choosing the right tool for your use case isn't obvious. And configuring everything properly (IP rotation, geo-targeting, rate limiting, error handling) takes expertise.

Reliable data collection → We configure the right proxy type for your use case (residential, datacenter, ISP, mobile) with proper IP rotation and geo-targeting to ensure your requests go through without blocks.

Anti-bot bypass → We set up Web Unlocker and Scraping Browser to handle JavaScript rendering, CAPTCHAs, and sophisticated anti-bot systems automatically.

Complete data pipelines → We don't just scrape. We build the entire pipeline: extraction, cleaning, transformation, and delivery to your database or tools (Airtable, BigQuery, Snowflake, your CRM).

Stack integration → We connect Bright Data to your automation tools (Make, n8n, Zapier) and data infrastructure via API so everything syncs automatically.

Monitoring and alerts → We set up dashboards to track success rates, costs, and errors so you know exactly what's happening with your data collection.

Whether you're starting from scratch or already using Bright Data but struggling with blocks or scaling, we help you build a system that actually works.

Our approach

Our methodology
for Bright Data Agency.

STEP 1: AUDIT YOUR DATA NEEDS

We start by understanding what data you actually need and why.

We analyze your target websites: what’s the technical complexity? Do they use anti-bot systems? Is JavaScript rendering required? How often do you need fresh data?

We review your current setup if you have one. Are you hitting rate limits? Getting blocked? Spending too much on the wrong proxy type?

We define the scope: how many pages, what frequency, what data points, what format do you need the output in?

At the end of this step, you have a clear picture of what needs to be built and which Bright Data products make sense for your case.

STEP 2: ARCHITECTURE AND PROXY SELECTION

We design your data collection architecture based on your specific needs.

We select the right proxy type: residential proxies for sensitive targets, datacenter for high-volume simple sites, ISP proxies for a balance of speed and reliability, mobile proxies for app-specific data.

We configure geo-targeting if you need location-specific data (local search results, regional pricing, country-specific content).

We set up IP rotation rules to maximize success rates while minimizing costs. Different targets need different strategies.

We design the data pipeline: where the data goes, how it gets transformed, and how it connects to your existing tools.

At the end of this step, you have a complete technical architecture ready to be implemented.

STEP 3: SCRAPING INFRASTRUCTURE SETUP

We build and configure your data collection system.

For simple HTML pages, we set up direct proxy requests with proper headers and rotation.

For JavaScript-heavy sites, we configure Scraping Browser with the right settings for headless rendering and dynamic content extraction.

For anti-bot protected sites, we implement Web Unlocker with automatic CAPTCHA solving and fingerprint management.

For search engine data, we configure SERP API with the right parameters (location, device type, search type).

We build extraction logic to pull exactly the data points you need, in the format you need.

At the end of this step, your scraping infrastructure is functional and tested on real targets.

STEP 4: DATA PIPELINE AND INTEGRATIONS

We connect your data collection to your business tools.

We set up data transformation: cleaning, normalizing, and structuring the raw data into usable formats.

We build integrations with your stack: direct database inserts (PostgreSQL, BigQuery, Snowflake), syncs with Airtable or Notion, CRM updates, or custom webhooks.

We configure automation workflows via Make or n8n to trigger collection jobs, process results, and send alerts.

We implement error handling and retry logic so failed requests don’t break your pipeline.

At the end of this step, your data flows automatically from source websites to your business tools.

STEP 5: MONITORING AND OPTIMIZATION

We set up monitoring to ensure long-term reliability.

We build dashboards tracking success rates, response times, costs per request, and data quality metrics.

We configure alerts for anomalies: sudden drops in success rate, unexpected cost spikes, or data format changes.

We optimize costs by analyzing which proxy types and settings give the best results for each target.

We document everything: architecture, configurations, troubleshooting guides, and maintenance procedures.

At the end of this step, you have a production-ready system with full visibility into performance.

STEP 6: TRAINING AND HANDOVER

We make sure you can operate the system independently.

We train your team on Bright Data’s dashboard: how to monitor usage, check logs, and adjust settings.

We explain the architecture so you understand how everything connects and where to look when something breaks.

We provide documentation covering common scenarios: adding new targets, adjusting collection frequency, troubleshooting blocks.

We stay available for questions and offer maintenance packages if you want us to handle ongoing optimizations.

At the end of this step, you have a working system you fully understand and can maintain.

Frequently asked questions

01How much does it cost?+
We start from $500 for an audit and scoping session. Then the budget depends on your project: complexity of target websites, data volume, number of integrations, and whether you need ongoing maintenance. A simple price monitoring setup might be $2-5k. A complex multi-source data pipeline can be $10-20k+. We give you a clear quote after understanding your needs. Note: Bright Data subscription costs are separate and billed directly by them.
02How long does it take?+
It depends on the project. A simple setup with one data source and basic integration: 1-2 weeks. A complete multi-source pipeline with complex transformations and monitoring: 4-8 weeks. We give you a precise timeline after the audit. The main variable is usually target website complexity—sites with heavy anti-bot protection take longer to configure properly.
03What support do you offer afterwards?+
Yes. We train you on the system we built, give you complete documentation, and stay available for questions. We also offer maintenance packages for ongoing monitoring, target website changes (they update their structure, we update your scrapers), and scaling support. Most clients start without maintenance and add it later when they realize they'd rather focus on using the data than maintaining the collection.
04Bright Data vs Scrapy or custom scrapers: when to choose Bright Data?+
Custom scrapers (Scrapy, Puppeteer, Playwright) work great for simple sites without anti-bot protection. But the moment you hit CAPTCHAs, IP bans, or need to scale past a few thousand requests, you spend more time fighting blocks than collecting data. Bright Data makes sense when: targets have anti-bot systems, you need geo-specific data, volume is high (10k+ requests), or reliability is critical for your business. The proxy infrastructure and Web Unlocker handle what would take months to build yourself.
05Can you integrate Bright Data with Make or n8n?+
Definitely. We set up automation workflows where Make or n8n triggers Bright Data collection jobs on schedule or based on events, processes the results, and pushes them to your tools. For example: daily price checks that update an Airtable base, or competitor monitoring that sends Slack alerts when prices change. We also handle error scenarios so failed requests get retried or flagged for manual review.
06What types of websites can Bright Data scrape?+
Technically, most public websites. Bright Data's Web Unlocker and Scraping Browser handle JavaScript rendering, sophisticated anti-bot systems, and CAPTCHAs. That said, we only work on legal use cases: collecting publicly available data for legitimate business purposes. We don't help with scraping personal data, bypassing paywalls, or anything that violates terms of service in problematic ways. We'll be upfront about what's feasible and appropriate for your use case.
07How do you handle websites that change their structure?+
Website changes are the main maintenance headache with any scraping system. We build extraction logic that's as resilient as possible (using multiple selectors, semantic patterns). We set up monitoring that detects when output format changes or data quality drops. And we offer maintenance packages where we handle fixes when target sites update. Without maintenance, we document everything so your team can make adjustments.
08Residential proxies vs datacenter proxies: which one do I need?+
Datacenter proxies are faster and cheaper but easier to detect and block. They work for simple sites without sophisticated protection. Residential proxies use real ISP IPs, are harder to detect, but cost more and are slower. Use them for sensitive targets, anti-bot protected sites, or when you need to appear as a real user. ISP proxies are a middle ground. We analyze your specific targets and recommend the most cost-effective option—often a mix of proxy types for different sources.
09Can Bright Data collect data from search engines?+
Yes, via their SERP API. We configure it to pull search results from Google, Bing, and other engines with specific parameters: location, device type, language, search type (web, images, news, shopping). It's useful for SEO monitoring, competitor analysis, ad tracking, and market research. The API handles all the complexity of geo-targeting and returns structured data you can directly use. We integrate it with your analytics tools or databases.
10How much does Bright Data itself cost?+
Bright Data pricing depends on proxy type and volume. Datacenter proxies start around $0.10/GB, residential around $8-15/GB, and Web Unlocker has per-request pricing. SERP API is priced per successful request. Costs can range from $100/month for light usage to $10k+/month for heavy data collection. We help you optimize costs by selecting the right proxy types and configuring efficient request patterns. We give you realistic cost estimates during the audit. For more details, check the official Bright Data pricing page.
Hack'celeration Agency

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Free · No commitment · Reply within 1h
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