SuperAPI AI Directory

data-broker-removal

Data & analytics

View repository

Updated 10-16 01:18

About this skill

Data-Broker Removal

Your home address, phone, relatives, and past addresses are listed on dozens of people-search sites — scraped and resold. You can't clear all of them forever, but you can remove the highest-impact ones and slow the reappearance. This gives a prioritized opt-out plan: which brokers to hit first, how to opt out of each, and how to reduce the sources feeding them.

What This Skill Produces

  • A prioritized target list — the biggest/most-visible brokers and people-search sites first, where removal matters most
  • The opt-out method per site — the specific route (opt-out form, email, verification steps) for each
  • Source suppression — reducing what feeds the brokers (public records settings, marketing opt-outs, tightening accounts)
  • A recheck cadence — because listings reappear; when and how to re-scan and re-remove
  • Safe-handling cautions — how to opt out without oversharing new data or falling for fake "removal" services
  • A do-it-yourself vs paid-service note — honest tradeoffs of removal services

Required Inputs

Ask for these if not provided:

  • Your goal — general privacy, or a specific worry (safety, harassment, a stalker — changes urgency)
  • What's exposed — address, phone, email, relatives, workplace (from a self-search)
  • Region — determines which brokers and which privacy rights apply
  • Time/effort — DIY or considering a paid removal service
  • Safety context — if there's a safety threat, that reprioritizes everything

Framework: Biggest First, Suppress The Source, Repeat

  1. Self-search to map exposure. Search your name + city to see what's actually listed and where — target from reality, not a generic list.
  2. Hit the high-impact brokers first. The largest aggregators feed the smaller ones; removing them has outsized effect.
  3. Follow each site's real opt-out. Use the site's official opt-out page; verify carefully and don't submit more than required.
  4. Suppress at the source. Reduce public-record exposure, opt out of marketing data sharing, and lock down accounts so brokers have less to re-scrape.
  5. Recheck on a cadence. Listings return; schedule periodic re-scans and re-removals — it's maintenance, not one-and-done.
  6. Mind safety and scams. For a genuine safety threat, prioritize and consider expert help; avoid "removal" services that are themselves data grabs.

Output Format

Data-broker removal: goal [x] · [region] · [DIY/service]

Map it: self-search results → what's exposed.

Remove (priority order)

  1. [Major broker] — opt out via [method/URL type], verify by [step].
  2. [Broker] — [method]. … (highest-traffic first)

Suppress the source: [public-record/marketing/account settings]. Recheck: every [1–3 months] — re-scan and re-remove. Cautions: submit only required info · avoid shady "removal" services · [safety note if relevant].

Quality Checks

  • Starts from a real self-search, not a generic list
  • Prioritizes the highest-impact brokers first
  • Gives the specific opt-out method per site
  • Includes source-suppression so data stops flowing back
  • Sets a recheck cadence (reappearance is expected)
  • Cautions against oversharing and fake removal services
  • Reprioritizes for genuine safety threats

Anti-Patterns

  • Treating it as one-and-done — listings come back.
  • Random order instead of biggest-impact-first.
  • Oversharing extra data in the opt-out itself.
  • Ignoring the source so brokers just re-scrape.
  • Recommending a sketchy removal service that harvests data.

Example Trigger Phrases

  • "How do I get my home address off those people-search sites?"
  • "Remove my personal info from data brokers."
  • "My phone number and relatives are showing up online — help."
  • "I want to shrink my digital footprint for safety reasons."
  • "Are data-removal services worth it, or can I do it myself?"