Skip Trace — People, Phone & Address Finder

Look up a US name, phone, address, or email and get one structured record per matched person: phones, emails, current and previous addresses, relatives, aliases, and age. Built for lawful B2B contact enrichment and public-records research — not for FCRA decisions.

Reads publicly available ThatsThem pages. No ThatsThem account or API key required.

How it works

✨ Why use this scraper?

• Phones and emails on the record. Each matched person includes the phone numbers and emails the public page associates with them.
• Four lookup modes in one Actor. Search by name, reverse-phone, reverse-address, or reverse-email — mix them in a single run.
• Whole-person records. Each row carries name + name variants, aliases, age, deceased flag, every phone, current + previous addresses (with latitude/longitude), and relatives/associates.
• Bulk-ready. Drop in a list of names, phones, or addresses and get one row per matched person, billed per record.
• CSV + CRM built in. Feed a CSV URL of lookups, POST each result straight to Zapier / Make / GoHighLevel, or preview the exact output for free with demo mode.
• Fast & clean. Each search page is the result page — a single HTTP call per lookup, no detail-page hop, no pagination.
• No proxy headaches. Works on standard US IPs; no captcha-solving or anti-bot bypass required.

🎯 Use cases

You are a…	Use it to…
Real-estate investor / wholesaler	Find the people connected to a property address
B2B data / lead-gen team	Append phone numbers and address history to contact lists
Due-diligence analyst	Check public address history and known relatives

📥 Supported inputs

Input	Example	Returns
Name	Jane Doe, Springfield, IL	People matching the name (optional location narrows it)
Phone (reverse)	(202) 555-0182	The likely owner of the number + their record
Address (reverse)	123 Main St, Springfield, IL 62704	People associated with the address
Email (reverse)	jane.doe@email.com	The likely owner of the email
Direct URL	https://thatsthem.com/name/Jane-Doe	Scraped verbatim and parsed the same way

Not supported: pages behind a ThatsThem login, premium background-check reports, and non-US records.

🔄 How it works

1. Build the lookup URL for each value you provide (name → /name/…, phone → /phone/…, address → /address/…, email → /email/…).
2. Fetch the result page with a single HTTP request (impit + sliding-window concurrency for bulk lists).
3. Parse the person cards on the result page (and JSON-LD when the site still serves it).
4. Extract every person's name, aliases, age, phones, emails, addresses (with geo), and relatives.
5. Push one row per matched person to the dataset, capped at your maxItems.

⚙️ Input parameters

Field	Type	Description
names	array	Full names to look up; append , City, ST to narrow.
phones	array	US phone numbers, any format. Reverse lookup.
addresses	array	Street addresses (123 Main St, City, ST ZIP). Reverse lookup.
emails	array	Email addresses. Reverse lookup.
startUrls	array	Direct thatsthem.com result URLs, scraped as-is.
csvUrl	string	URL to a raw CSV whose header names Name / Phone / Address / Email columns (City/State/Zip fold into the name). Each row's cells become lookups.
webhookUrl	string	Each person record is POSTed here as JSON as it's found (Zapier / Make / GoHighLevel). Best-effort.
demoMode	boolean	Return one sample record with no lookup and no charge, to preview the output shape. Default false.
maxItems	integer	Hard cap on person records returned (billed per record). Default 100.
maxConcurrency	integer	How many lookups to fetch in parallel. Default 8.

📊 Output overview

The dataset contains one row per matched person. Identity, phones, emails, addresses (current + previous, each with latitude/longitude), and relatives all come merged into that single row — there are no separate address or relative rows to join. Phone numbers are returned complete, in +1-XXX-XXX-XXXX form. Fields that ThatsThem doesn't have for a given person (e.g. emails, jobTitle) come back empty rather than guessed.

📦 Output sample

{
  "type": "person",
  "fullName": "John Smith Sandreth",
  "givenName": "John",
  "middleName": null,
  "familyName": "Smith Sandreth",
  "aliases": ["John S. Sandreth", "John W. Smith"],
  "ageText": "December 1962 (63 years old)",
  "deceased": false,
  "lastUpdated": "1 week ago",
  "phones": ["+1-541-517-3975", "+1-541-344-1845", "+1-541-682-6594", "+1-214-497-4501"],
  "emails": [],
  "currentAddress": {
    "streetAddress": "85036 Spencer Hollow Rd",
    "addressLocality": "Eugene",
    "addressRegion": "OR",
    "postalCode": "97405",
    "addressCountry": "US",
    "latitude": 43.97259,
    "longitude": -123.087356,
    "url": "https://thatsthem.com/address/85036-Spencer-Hollow-Rd-Eugene-OR-97405"
  },
  "previousAddresses": [
    {
      "streetAddress": "370 Juniper St",
      "addressLocality": "Florence",
      "addressRegion": "OR",
      "postalCode": "97439",
      "latitude": 43.969859,
      "longitude": -124.10961
    }
  ],
  "addressCount": 5,
  "relatives": [
    { "name": "Mary Sandreth" },
    { "name": "Madison Sandreth" },
    { "name": "Gabriel Sandreth" },
    { "name": "Mark Sandreth" }
  ],
  "sourceUrl": "https://thatsthem.com/name/John-Smith/Florence-OR",
  "scrapedAt": "2026-06-20T21:04:28.471Z"
}

🗂 Key output fields

Field	Type	Notes
fullName, givenName, middleName, familyName	string	Name + parsed parts
aliases	string[]	"Known as" / AKA names
ageText	string	e.g. "December 1962 (63 years old)" (when shown)
deceased	boolean	Flagged when ThatsThem marks the person deceased
phones	string[]	Full numbers in +1-XXX-XXX-XXXX form
emails	string[]	Associated emails when available
currentAddress	object	Street, city, region, ZIP, country, latitude, longitude, ThatsThem URL
previousAddresses	object[]	Same shape; the person's address history
addressCount	integer	Total addresses on record
relatives	object[]	Relatives / associates (name)
lastUpdated	string	How fresh ThatsThem's record is (e.g. "1 week ago")
sourceUrl	string	The lookup page the record came from
scrapedAt	string	ISO timestamp of the scrape

Pricing

Event	When	Rate
Actor start	Once per run (per GB of memory)	see the Store Pricing tab
Person record	Each matched person pushed to the default dataset	see the Store Pricing tab

Empty / no-match lookups are not billed. demoMode writes a sample to the preview dataset only.

❓ FAQ

Are the phone numbers complete? The Actor returns the phone numbers present on the public result page for each matched person. Some records have none.

How am I billed? Per person record pushed to the dataset. Use maxItems to cap a run. Lookups that return no match cost nothing for that lookup beyond the page fetch.

Can I bulk-process a list? Yes — pass arrays of names, phones, or addresses (or a mix). Each value becomes one lookup and may return several matched people.

Does it cover non-US people? No. ThatsThem is a US public-records dataset, so coverage is US-only.

Why are some emails or coordinates empty? Those fields aren't present for every record on ThatsThem. The Actor returns what's available and leaves the rest empty rather than guessing.

Is this legal to use? The Actor reads only publicly available ThatsThem pages. You are responsible for using the data lawfully — see the Disclaimer below.

💬 Support

Found a missing field or a record that didn't parse? Open an issue from the Actor's Issues tab on Apify with the input you used, and it'll be looked into.

🛠 Additional services

Need this wired into a CRM, scheduled as a recurring enrichment job, or combined with email/phone validation? Reach out through the Apify contact form on the developer profile.

🔎 Explore more scrapers

Looking for related data tools? Browse the developer's other people-data, lead-generation, and public-records Actors on the Apify Store. FastPeopleSearch (name / phone / address only) is a separate Actor — this one is the email + mixed-input slot.

🤖 For AI Agents & LLM Apps

Compact reference for agents calling this actor via the Apify MCP server or the Apify API (memo23/skip-trace-people-finder).

Purpose: US public-records people lookup on ThatsThem. Mix name, reverse-phone, reverse-address, and reverse-email in one run. One dataset row per matched person.

Minimal input:

{ "names": ["Jane Doe, Springfield, IL"], "emails": ["jane.doe@email.com"], "maxItems": 5 }

Output: one row per person — fullName, givenName, middleName, familyName, aliases, ageText, deceased, phones[], emails[], currentAddress {streetAddress, addressLocality, addressRegion, postalCode, latitude, longitude, url}, previousAddresses[], addressCount, relatives[{name}], profileUrl, sourceUrl, scrapedAt.

Behaviors an agent should know:

• Always set maxItems. A common name can return many people; each row is billed.
• Fill any combination of names, phones, addresses, emails, startUrls, or csvUrl. An empty run fails and is not billed.
• demoMode: true writes a fake row to the preview dataset and the OUTPUT key — no lookup, no charge.
• Empty / no-match lookups are not billed. US records only. Not for FCRA decisions.

⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by ThatsThem, Intelius, or any of their subsidiaries or affiliates. All trademarks mentioned are the property of their respective owners.

This Actor is an independent tool and is not affiliated with ThatsThem. It reads only publicly available pages. Output may be regulated under the Fair Credit Reporting Act (FCRA), DPPA, GDPR/CCPA, or similar laws. Do not use this data for credit, employment, insurance, tenant screening, or any FCRA-regulated purpose. You are responsible for lawful use.

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SEO Keywords

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