Healthcare Data Provider

Where data accuracy isn't just important—it's everything

Healthcare Data Provider operates in a space where data accuracy isn't just important—it's everything. They aggregate information from hundreds of websites, either through direct feeds or web scraping, processing massive volumes of data every month.

At that scale, small issues compound quickly. And their previous scraping provider was creating exactly those kinds of issues.

The core problem? The old provider treated unique ID fields as optional. But for Healthcare Data Provider, those IDs are critical. Without an exact match on identifiers, the data simply can't be used. More scraped rows meant nothing if the matching rate stayed low.

Beyond accuracy, there were structural problems with how the relationship worked. The old provider charged based on raw rows scraped, not usable data delivered. Their incentives simply weren't aligned with what the client actually needed.

And when issues came up? The old provider treated it as a data sale, not a partnership. Customer concerns went unaddressed.

Looking for a scraping partner that would actually listen

Healthcare Data Provider reached out to Audio Bee looking for a scraping partner that would actually listen. Their requirements were clear:

• Reliable capture of unique ID fields across all sites
• Faster turnaround times
• Pricing aligned with outcomes, not raw output
• A partner who cared about data completeness, not just delivery

Scraping infrastructure designed around what they actually needed

Audio Bee built a scraping infrastructure designed around what Healthcare Data Provider actually needed:

1. 1
   Prioritized the fields that matter. We treat unique ID fields as non-negotiable, building validation checks to ensure they're captured accurately across all sources. For certain sites, capture rate went from 0% to reliable coverage. This meant 2-10% more usable data depending on the website.
2. 2
   Faster turnaround through AI-assisted development. By leveraging AI coding tools, we resolve tough scraping challenges in days rather than weeks. When sites change or break, we respond quickly.
3. 3
   Aligned pricing model. We charge based on final, deduplicated data, not raw rows. This means our incentives match theirs: deliver more usable data, not more noise.
4. 4
   Built for completeness, not just delivery. Web scraping fails frequently at this scale. We've built monitoring tools that compare what we scraped against expected totals on sites that expose this information. We consistently hit 99%+ completeness and report these metrics to the client regularly.
5. 5
   QA notes that save time downstream. We do manual QA on every delivery and pass along detailed notes about what we checked and what we found. This saves the client significant time during their own review process.

More usable data, fewer gaps, month after month

The difference wasn't a single moment. It compounded over time. Month after month, Healthcare Data Provider saw more usable data, fewer gaps, and a partner who actually responded when issues came up.

• 50+ websites scraped
• 50M+ rows scraped monthly on average
• 99%+ completeness rate with regular reporting
• 2-10% more usable data through reliable ID capture
• Faster issue resolution measured in days, not weeks
• QA notes included with every delivery