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Apollo vs People Data Labs

People Search

Apollo
Apollo
85
VS
Metric Apollo People Data Labs
Category People Search People Search
Pricing Freemium Freemium
Auth API Key API Key
Format JSON JSON
Bot Blocking None None
OpenAPI Spec No Yes
Credit Card Not required Not required
Rate Limit Free: 50 req/min, 600/day. Basic/Pro: 200 req/min, 2,000/day. Enrichment endpoints: 100/min with 10/sec burst. 100 req/min (free) to 1,000 req/min (paid) for enrichment; 10 req/min for search endpoints
Score Component Apollo People Data Labs
Base +50 +50
OpenAPI Spec 0 (No) +15 (Yes)
Auth +10 (API Key) +10 (API Key)
Format +10 (JSON) +10 (JSON)
Bot Blocking +10 (None) +10 (None)
No CC +5 (Yes) +5 (Yes)
Free 0 (No) 0 (No)
Total 85 100
Apollo People Data Labs
Pros
  • + Massive dataset (210M+ contacts, 30M+ companies) with structured JSON responses — agents get rich firmographic and demographic data in a single call
  • + People Search endpoint does not consume credits, so agents can search and filter freely before committing credits to enrichment
  • + Simple API Key auth via x-api-key header and straightforward REST endpoints make integration trivial for any agent framework
  • + Massive dataset — 3B+ person profiles and 70M+ companies with broad coverage across enrichment, search, identify, and IP endpoints
  • + Official OpenAPI spec on GitHub and SDKs for Python, JS, Ruby, and Go with clean REST design and predictable JSON responses
  • + Generous free tier with no credit card required, and Autocomplete/Cleaner APIs are completely free with only rate limits
Cons
  • - Credit-based pricing adds complexity for agents — different actions cost different credit amounts (1 for email, 5 for mobile), requiring agents to track budget
  • - No official OpenAPI spec, so agents can't auto-discover endpoints or generate typed clients without manual setup
  • - Free tier is very limited at 100 lookups/month — Pro starts at $98/mo for only 350 person credits, making serious usage expensive
  • - Search API rate limit is tight at 10 req/min even on paid plans, which can bottleneck agent workflows doing bulk lookups
Badges
API KeyFreemiumJSONBot Blocking: NoneNo CCpeople-searchcompany-enrichmentpeople-enrichmentprospectingemail-finderlead-generationb2b-data
OpenAPI SpecAPI KeyFreemiumJSONBot Blocking: NoneNo CCpeople-datacompany-dataenrichmentb2b-dataperson-searchip-enrichmentdata-cleaning

Apollo Integration

example.py
import requests
headers = {    "Content-Type": "application/json",    "Cache-Control": "no-cache",    "x-api-key": "YOUR_API_KEY"}
# Enrich a person by emailresp = requests.post(    "https://api.apollo.io/api/v1/people/match",    headers=headers,    json={"email": "[email protected]", "reveal_personal_emails": False})person = resp.json()["person"]print(person["name"], person["title"], person["organization"]["name"])

People Data Labs Integration

example.py
import requests
API_KEY = "your-api-key"BASE = "https://api.peopledatalabs.com/v5"headers = {"X-Api-Key": API_KEY}
# Person Enrichmentresp = requests.get(f"{BASE}/person/enrich", headers=headers,    params={"profile": "linkedin.com/in/seanthorne"})print(resp.json())
# Company Enrichmentresp = requests.get(f"{BASE}/company/enrich", headers=headers,    params={"website": "peopledatalabs.com"})print(resp.json())