FastPeopleSearch Scraper — Phones, Emails & Addresses
Pricing
from $10.00 / 1,000 person records
FastPeopleSearch Scraper — Phones, Emails & Addresses
Search FastPeopleSearch by name, reverse phone, or reverse address and get full US person records: typed phones with carrier, decoded emails, address history, relatives, associates & jobs. Anti-bot bypass built in - no proxies, no browser, no login. Export JSON, CSV or Excel.
Pricing
from $10.00 / 1,000 person records
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Developer
Muhamed Didovic
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1
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2 days ago
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Turn a name, phone number, or street address into full US person records. Search FastPeopleSearch.com by name (with optional city/state), run reverse phone or reverse address lookups, or paste any FastPeopleSearch URL — and get structured rows with phone numbers, email addresses, current + past addresses, relatives, associates, and employment history.
Why Use This Scraper?
- ✅ Three search modes — name, reverse phone, reverse address — plus direct URL input
- ✅ Email addresses included and decoded to plain text (most alternatives skip these)
- ✅ Phone numbers with carrier, line type, and first-reported date
- ✅ Full address history with counties and recorded dates, plus property details for the current home
- ✅ Relatives and associates with ages and profile links — ready for network mapping
- ✅ Anti-bot handling built in — no proxy setup, no browser, no login
- ✅ Export as JSON, CSV, or Excel, or pull rows through the Apify API
Overview
The FastPeopleSearch Scraper is built for skip tracers, real-estate investors, lead-generation teams, and researchers who need structured US people data without copying it off the site by hand.
The output is person-shaped rows. Whatever you start from — a name search, a phone number, an address, or a pasted URL — the dataset is a stream of person records, one row per profile. A reverse phone lookup that matches three people produces three person rows.
The site sits behind an aggressive anti-bot wall. This actor routes every request through unblocking infrastructure that clears it automatically, so a run needs zero proxy configuration on your side.
Supported Inputs
Search modes
| Mode | You provide | Example |
|---|---|---|
| Name search | firstName, lastName, optional city + state | John Smith in NY |
| Reverse phone | phone (any format) | (206) 592-2882 |
| Reverse address | address, city, state, optional zip | 123 Main St, Dallas, TX |
URL types (advanced)
| URL type | Pattern | Example |
|---|---|---|
| Name listing | /name/{first}-{last}_{city}-{st} | https://www.fastpeoplesearch.com/name/john-smith_ny |
| Reverse phone | /{AAA-BBB-CCCC} | https://www.fastpeoplesearch.com/206-592-2882 |
| Reverse address | /address/{street}_{city}-{st} | https://www.fastpeoplesearch.com/address/123-main-st_dallas-tx |
| Person profile | /{name}_id_G{id} | https://www.fastpeoplesearch.com/amanda-smith_id_G4156490107428859261 |
Copy-pasteable startUrls
{"startUrls": ["https://www.fastpeoplesearch.com/name/john-smith_ny","https://www.fastpeoplesearch.com/206-592-2882","https://www.fastpeoplesearch.com/amanda-smith_id_G4156490107428859261"],"maxItems": 20}
Unsupported inputs
- ❌ URLs outside
fastpeoplesearch.com - ❌ Bulk CSV of names in a single run (one name per run — or use startUrls with multiple listing URLs)
- ❌ Anything behind a login or paywall (the site has none for the data this actor collects)
Use Cases
| Audience | Use case |
|---|---|
| Skip tracers | Locate current addresses and working phone numbers from a name or an old address |
| Real-estate investors | Reverse-address lookups on distressed properties to reach the owner directly |
| Lead-gen teams | Turn sparse contact lists into full records with phones and emails |
| Collections / legal | Verify identity, address history, and known relatives before contact |
| Researchers | Bulk-export people data for genealogy or demographic analysis |
How It Works

- Input — pick a search mode and fill the matching fields, or paste FastPeopleSearch URLs
- Clear the wall — every request goes through unblocking infrastructure that passes the site's anti-bot check
- Walk the results — the actor pages through the listing and opens each person profile concurrently
- Parse the record — phones, emails (decoded from obfuscation), addresses, relatives, associates, employment
- Output — one row per person, exportable as JSON, CSV, or Excel
Input Configuration
Input fields
| Field | Type | Required | Notes |
|---|---|---|---|
searchMode | string enum | optional | name (default), phone, or address. Ignored when startUrls is set |
firstName | string | for name mode | First name to search |
lastName | string | for name mode | Last name to search |
city | string | optional / address mode | Narrows name searches; required for address mode |
state | string enum | optional / address mode | Two-letter US state (50 states + DC) |
phone | string | for phone mode | Any format — digits are extracted |
address | string | for address mode | Street part, e.g. 123 Main St |
zip | string | optional | Makes address mode more precise |
startUrls | array<string> | optional | FastPeopleSearch URLs; overrides the search fields |
maxItems | integer | optional | Hard cap on person records. Default 10 |
maxConcurrency | integer | optional | Parallel profile fetches. Default 5 |
Common scenarios
1. Name search narrowed to a state
{"searchMode": "name","firstName": "John","lastName": "Smith","state": "NY","maxItems": 25}
2. Reverse phone lookup
{"searchMode": "phone","phone": "(206) 592-2882","maxItems": 5}
3. Reverse address lookup
{"searchMode": "address","address": "6507 Steilacoom Blvd SW","city": "Lakewood","state": "WA","maxItems": 10}
Output Overview
Each dataset item is one person record containing:
- Identity —
fullName,firstName,lastName,age,bornMonthYear,akas[] - Contact —
phones[](number, line type, carrier, first-reported date, primary flag),emails[],primaryPhone - Location —
currentAddress(street/city/state/zip/county + since-date),coordinates,pastAddresses[]with recorded dates - Property —
currentAddressPropertyDetails(square feet, year built, estimated value, last sale, occupancy type) - Network —
relatives[]andassociates[], each with name, age, and profile URL - Work —
currentEmployment[]andworkExperience[](employer, title, location) - Meta —
personId,profileUrl,maritalStatusText,scrapedAt
Field availability follows the site: a profile without a listed email produces an empty emails array, not a missing run.
Output Samples
Reverse address start, trimmed
{"type": "person","personId": "G5374097278778066177","profileUrl": "https://www.fastpeoplesearch.com/mary-huff_id_G5374097278778066177","fullName": "Mary L Huff","firstName": "Mary","lastName": "Huff","age": 71,"bornMonthYear": "October 1954","currentAddress": {"fullAddress": "6507 Steilacoom Blvd SW, Lakewood, WA, 98499","street": "6507 Steilacoom Blvd SW","city": "Lakewood","state": "WA","zip": "98499","county": "Pierce County","since": "January 2012"},"coordinates": { "latitude": 47.176693, "longitude": -122.524788 },"currentAddressPropertyDetails": {"bedrooms": "3","squareFeet": "1,438","yearBuilt": "1928","estimatedValue": "$468,000","occupancyType": "Owner Occupied"},"phones": [{"number": "(253) 380-5662","type": "Wireless","carrier": "T-Mobile USA Inc","firstReported": "September 2025","isPrimary": true}],"primaryPhone": "(253) 380-5662","emails": ["marylhuff@gmail.com", "mary.huff@intel.com"],"akas": ["Mary Huff", "Mary L Smith"],"pastAddresses": [{"fullAddress": "120 Walzer Rd Rochester NY 14622","city": "Rochester","state": "NY","county": "Monroe County","recordedDate": "June 2017"}],"relatives": [{ "name": "Amanda Smith", "age": "Age 46 (May 1980)", "profileUrl": "https://www.fastpeoplesearch.com/amanda-smith_id_G4156490107428859261" }],"currentEmployment": [{ "employer": "WASHINGTON STATE DEPARTMENT OF ECOLOGY", "title": "FLOODPLAIN MANAGEMENT UNIT SUPERVISOR", "location": "Salt Lake City, UT" }],"scrapedAt": "2026-09-02T20:39:30.355Z"/* pastAddresses, relatives, associates, workExperience trimmed */}
Key Output Fields
Identity
fullName,firstName,lastName,age,bornMonthYear,akas[],personId,profileUrl
Phones
phones[].number,phones[].type(Wireless / Landline / Voip),phones[].carrier,phones[].firstReported,phones[].isPrimary,primaryPhone
Emails
emails[]— plain-text addresses, decoded from the site's obfuscation
Addresses
currentAddress.{street, city, state, zip, county, since},coordinates.{latitude, longitude}pastAddresses[].{fullAddress, street, city, state, zip, county, recordedDate}currentAddressPropertyDetails.{squareFeet, yearBuilt, estimatedValue, lastSaleAmount, occupancyType, …}
People network
relatives[].{name, age, profileUrl},associates[].{name, age, profileUrl}
Employment
currentEmployment[].{employer, title, location},workExperience[].{employer, title}
FAQ
Which URLs are supported?
Any fastpeoplesearch.com URL: name listings (/name/john-smith_ny), reverse phone pages (/206-592-2882), reverse address pages (/address/...), and direct person profiles (/{name}_id_G{id}). URLs on other hosts are not.
Do I get person rows or search-result rows?
Person rows, always. Listing pages are only used to find profiles; every dataset item is a full parsed profile.
Are emails always present?
No — they appear when the site lists them for that person. In testing, most adult profiles carried 5–12 addresses, but some have none. Emails that the site obfuscates are decoded to plain text automatically.
How do I search a whole state vs. one city?
Set state alone for a state-wide search, or city + state to narrow it. Leaving both empty searches nationwide, which is broad — cap it with maxItems.
Can I paste multiple searches into one run?
Yes — build the listing URLs yourself and pass them in startUrls (e.g. three /name/... URLs). Each is paged through until maxItems is reached.
Can I scrape private or paywalled data?
No. The actor reads only the public profile pages; there is no login and no paid-content access.
Why do requests take longer than a normal scraper?
Every request goes through unblocking infrastructure to pass the site's anti-bot wall. A profile typically takes 3–30 seconds. Concurrency (default 5) keeps total run time reasonable.
What happens when the anti-bot check still blocks a request?
The actor retries up to 4 times per page with fresh unblocker sessions. Persistent failures are logged and skipped — a run never hangs on one bad URL.
Support
Found a bug or have a feature request? Open an issue on the actor's Issues tab in the Apify Console, or email muhameddidovic@gmail.com.
Additional Services
Need bulk name-list runs, a custom export shape, monitoring on a schedule, or the same data from another people-search site? I do tailored work — drop me a line at muhameddidovic@gmail.com.
Explore More Scrapers
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Full list at apify.com/memo23.
🤖 For AI Agents & LLM Apps
Compact reference for AI agents calling this actor via the Apify MCP server or the Apify API (actor: memo23/fastpeoplesearch-scraper).
Purpose: US people search on FastPeopleSearch.com — name, reverse-phone, or reverse-address input; returns one row per person including decoded email addresses, typed phone numbers, address history, relatives, and associates.
Minimal input:
{ "searchMode": "name", "firstName": "John", "lastName": "Smith", "state": "NY", "maxItems": 5 }
Output: one dataset row per person — fullName, firstName, lastName, age, bornMonthYear, akas[], phones[] {number, type, carrier, firstReported, isPrimary}, primaryPhone, emails[], currentAddress {street, city, state, zip, county, since}, coordinates {latitude, longitude}, currentAddressPropertyDetails {…}, pastAddresses[], relatives[] {name, age, profileUrl}, associates[], currentEmployment[], workExperience[], personId, profileUrl, scrapedAt.
Behaviors an agent should know:
- Always set
maxItems— a broad name search can match hundreds of profiles. startUrls(any fastpeoplesearch.com listing or profile URLs) overrides the search-mode fields when present.searchMode: "phone"needs onlyphone;searchMode: "address"needsaddress+city+state.- Billing is per person record returned; requests that fail or find no match cost nothing extra.
- Requests route through anti-bot unblocking — expect 3–30 s per page, so prefer small
maxItemsfor interactive use. - US data only; no login-gated content is accessed.
⚠️ Disclaimer
This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by FastPeopleSearch.com or its operators. All trademarks mentioned are the property of their respective owners.
The scraper accesses only publicly available people-search pages — no authenticated endpoints, paid features, or content behind any login wall. People-search data is sensitive: users are responsible for ensuring their use complies with FastPeopleSearch.com's Terms of Service, the Fair Credit Reporting Act (this actor is not a consumer reporting agency and its output must not be used for FCRA-regulated purposes such as employment, credit, or tenancy screening), applicable data-protection law (GDPR, CCPA, etc.), and any contractual obligations of their own organization.
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