The link Snapshot: Automating Facebook Profile Discovery
業界:
FinTech
所在地:
Argentina
link is the backbone of Argentina's payment system. Since 1988, the company has built the largest ATM network in the country and the technology that nearly 30 financial institutions and close to 29 million customers rely on every day for transfers, card processing, and banking-as-a-service.
Being that deeply embedded in a country's financial life comes with a target on your back — a brand this trusted is also a brand worth faking.
Behind the Request
What happens when your name becomes valuable enough for scammers to borrow?
The link brand sits on debit cards, ATM screens, and home banking portals across the country, which makes it exactly the kind of name bad actors may try to imitate on Facebook to run phishing scams or fake “customer support” schemes.
Catching that kind of activity by manually searching Facebook one keyword at a time doesn't scale to the size of a 29-million-customer network. link needed a way to search Facebook for brand-related profiles automatically and turn that into a repeatable, structured process instead of a manual chase.
The Solution: One API, Structured Results
- They integrated Data365's API to automate the discovery of Facebook profiles matching brand-related search terms, replacing manual lookups with a single process:
- Automated profile discovery — relevant Facebook profiles can be surfaced through the API instead of being searched for manually;
- Structured, ready-to-use data — API responses are delivered in a clean, standardized format instead of raw pages that need to be parsed by hand;
- Repeatable whenever needed — searches can run as often as needed without adding manual workload;
- Plug-and-go integration fully programming language agnostic, so it slotted into link's existing workflow without a heavy engineering lift.
Once Profile Search was in place, keeping an eye on Facebook stopped being a manual chase and started being a standing process.
The Results
- Faster Facebook profile discovery;
- A steady, growing volume of profiles processed through the API since integration;
- Faster detection of brand-related profiles, closing the gap between when a suspicious account appears and when it's found;
- Room to scale the process further as link's monitoring needs grow, without adding manual work.
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Data365 APIを使用してソーシャルメディアの操作に対抗する
ケーススタディを読んで、Data365 APIがデータサイエンス企業が膨大な公的データをマイニングしてソーシャルメディアの操作に立ち向かうのをどのように支援したかを確認してください。詳細は投稿をご覧ください。
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