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Check a freelancer's claimed work history at sign-up

Compare a new freelancer's or expert's claimed employers and titles with their professional profile, so the marketplace reviews mismatches before the profile goes live.

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Tools named
LinkedIn

Uses POST /person_detail_reverse_lookup/by_email/, POST /person_detail_lookup/ · Reverse email lookup API reference

What it costs: Charged per request: credit pricing.

How the data flows

3 inputs → Reverse email lookup + Person enrichment → 3 fields sample data
01 · Inputs
sign-up email
linkedin.com/in/lee-sampler
claimed experience
linkedin.com/in/lee-sampler
LinkedIn URL
linkedin.com/in/lee-sampler
02 · Forager
Reverse email lookup + Person enrichment POST /person_detail_reverse_lookup/by_email/
Match found
03 · Outputs
Lee SamplerSenior Software Engineer · Sample Labs
matched profile
/in/lee-sampler
roles with dates
Senior Software Engineer
name
Lee Sampler
mobile
+1 (312) 555-0107
work email
lee@samplelabs.example
company
Sample Labs
3 fields in the responseexample data

Steps

  1. Resolve the sign-up email with POST /person_detail_reverse_lookup/by_email/
  2. If they also give a LinkedIn URL, fetch the profile with POST /person_detail_lookup/ (linkedin_public_identifier)
  3. Compare claimed employers, titles and dates with roles (organization_name, role_title, start_date, end_date)
  4. Approve matching profiles and route mismatches to a reviewer
import json, os, requests

BASE = "https://api-v2.forager.ai/api/{account_id}/datastorage"
HEADERS = {"X-API-KEY": os.environ["FORAGER_KEY"]}
body = json.load(open("request.json"))  # request fields: see the API reference

# 1. Resolve the sign-up email with POST
# /person_detail_reverse_lookup/by_email/
r1 = requests.post(f"{BASE}/person_detail_reverse_lookup/by_email/", headers=HEADERS, json=body)

# 2. If they also give a LinkedIn URL, fetch the profile with POST
# /person_detail_lookup/ (linkedin_public_identifier)
r2 = requests.post(f"{BASE}/person_detail_lookup/", headers=HEADERS, json=body)

# 3. Compare claimed employers, titles and dates with roles
# (organization_name, role_title, start_date, end_date)

# 4. Approve matching profiles and route mismatches to a reviewer
Generated from the recipe stepsRequest fields: API reference

Run it yourself: Reverse email lookup API reference

  • Free API key
  • No credit card
  • Run your sample

Inputs and outputs

InputsOutputs
sign-up emailmatched profile
claimed experienceroles with dates
LinkedIn URL (optional)match or mismatch flag

Questions about this recipe

How can a freelance marketplace check that a sign-up's work history is real?

Resolve the sign-up email with POST /person_detail_reverse_lookup/by_email/. If they also give a LinkedIn URL, fetch the profile with POST /person_detail_lookup/ (linkedin_public_identifier).

What does it cost to check a freelancer's claimed work history at sign-up?

Reverse email lookup: 5 credits per request, charged whether or not data comes back. Person enrichment: 1 credit per request, charged whether or not data comes back. Growth's 8,250 monthly credits cover 8,250 person enrichments, or a mix. Self-serve plans are Starter, Growth, Pro and Scale. See plans and prices

What do I need to run this recipe, and what comes back?

You send claimed experience, LinkedIn URL (optional) and sign-up email. You get back match or mismatch flag, matched profile and roles with dates, as JSON. You also need a Forager API key, which comes with a free account.

Which API returns someone's past employers from their email?

This recipe uses Forager Reverse email lookup and Person enrichment. Reverse email lookup: Turn an email address into a full person profile: name, title, company, location and social links. Compare a new freelancer's or expert's claimed employers and titles with their professional profile, so the marketplace reviews mismatches before the profile goes live.

Is there a free way to try Forager on this workflow?

Yes. Create a free account at app.forager.ai: it comes with $5 in free credits and an API key, and there is no credit card to sign up. Run it on records you already know, or book a demo and send us a list: we run it and show you what we find.

When should I run this workflow?

When a freelancer or expert signs up and submits their experience. Clients see vetted profiles, and the review team spends its time on the sign-ups that do not match.

Which Forager products does this recipe use?

Reverse email lookup and person enrichment. Reverse email lookup: turn an email address into a full person profile: name, title, company, location and social links. Person enrichment: a full professional profile for a person from a LinkedIn URL, email or phone: experience, education, skills and contact channels.

How accurate is Forager data?

The test that counts is your own: send a list of profiles you care about. We run it and show you what we find, number by number, so you can measure hit rate and connect rate yourself.

Which tools can run this workflow?

Native in Clay, partner-built in Deepline and Cargo and called through the API from Make, n8n and your own code. Or call the endpoints in the steps above from your own code with one API key.

How many steps is this workflow?

4 steps: resolve the sign-up email with POST /person_detail_reverse_lookup/by_email/, if they also give a LinkedIn URL, fetch the profile with POST /person_detail_lookup/ (linkedin_public_identifier), compare claimed employers, titles and dates with roles (organization_name, role_title, start_date, end_date) and approve matching profiles and route mismatches to a reviewer.

Is there a contract or minimum commitment?

No contract to start: a free account comes with $5 in credits. To keep using Forager, choose a monthly or yearly plan. Monthly plans cancel anytime and unused credits roll over; yearly plans grant all credits upfront and cost 10% less. Larger volumes are agreed with our team.

Can we show Forager data inside our product?

Yes, under platform terms. Self-serve plans cover internal use by your own team. Showing Forager data to your users, or passing records on, is licensed separately: talk to sales about volume and which fields your users need to see.

Start building

Put people, company and job data your users can act on inside your product

Send us a list. We run it, show you what we find, then talk volume and terms.

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