Building a job search platform in 2026 means aggregating listings from multiple sources without maintaining fragile scrapers for Indeed, LinkedIn, and company career pages. Most job sites actively block scrapers. The API approach: search Google for indexed job listings, search Reddit for who-is-hiring threads, and extract structured data from career pages.
Top Pick
Scavio wins for job platforms with Google (indexed job listings), Reddit (hiring threads), and content extraction under one API. No scraper maintenance needed.
Full Ranking
#1Our Pick
Scavio
Job platforms needing Google + Reddit job data
Pros
- Google indexes Indeed/LinkedIn/Greenhouse listings
- Reddit search finds who-is-hiring threads
- Extract endpoint pulls structured job details
- One API for discovery + extraction
- Credit-based scales with listing volume
Cons
- Not a job-specific API (general search)
- No direct Indeed/LinkedIn API access
#2
SerpAPI
Job platforms needing Google Jobs structured data
Pros
- Google Jobs extraction built-in
- Structured salary and location data
- Multiple job boards in one query
- Mature API
Cons
- $75/mo minimum is expensive to start
- Active DMCA lawsuit
- Credits expire monthly
- Legal risk for job board scraping
#3
Serper
Cheap bulk job listing discovery via Google
Pros
- 2,500 free queries/month
- Cheapest at volume
- Fast responses
- Simple API
Cons
- No structured job data extraction
- Google only (no Reddit job threads)
- Limited SERP features
- No extract capability
#4
Firecrawl
Extracting structured data from career pages
Pros
- URL-to-structured-data extraction
- JavaScript rendering for SPAs
- AI extraction for job fields
- Good for career page parsing
Cons
- Not a search engine (URLs required)
- AI extraction costs 5 credits/page
- No job discovery capability
- Credit multipliers increase cost
#5
Apify
Teams wanting pre-built job board scrapers
Pros
- Pre-built Indeed/LinkedIn actors
- Handles anti-bot measures
- Scheduled scraping
- Large actor marketplace
Cons
- Scraping approach (legal risk)
- Indeed/LinkedIn actively fight scrapers
- Actors break frequently
- Complex pricing per actor
Side-by-Side Comparison
| Criteria | Scavio | Runner-up | 3rd Place |
|---|---|---|---|
| Job Discovery | Yes (Google + Reddit) | Yes (Google Jobs) | Yes (Google) |
| Structured Job Data | Via extract endpoint | Built-in | No |
| Reddit Hiring Threads | Yes | No | No |
| Legal Risk | Low (search API) | High (lawsuit) | Low |
| Free Tier | 500/mo | 100/mo | 2,500/mo |
| Content Extraction | Yes | No | No |
Why Scavio Wins
- Google indexes job listings from Indeed, LinkedIn, Greenhouse, Lever, and company career pages. Searching Google surfaces these without scraping the job boards directly.
- Reddit search finds who-is-hiring threads, salary discussions, and company reviews. Job seekers value this data alongside listings.
- Extract endpoint pulls structured data from career page URLs. Combine search (find jobs) + extract (get details) in one API.
- No legal risk from scraping job boards. Google indexes public listings; Scavio searches the index via API contract.
- Credit-based pricing scales with listing volume. Growing from 100 to 10,000 daily queries is just more credits, not a tier jump.