DFS Player Props Scraper Suite
Crawloop provides production-grade Apify Actors for US daily fantasy sports (DFS) player props — structured JSON export for odds-comparison dashboards, sports analytics pipelines, model backtesting, and research workflows.
Extract over/under lines, odds tiers, payout multipliers, matchups, and cross-platform line spread — without manual copy-paste from pick’em boards.
Browse all Actors on Apify Product site on crawloop.com View on GitHub
Also from Crawloop: Industrial Automation — Siemens & Rockwell
DFS props Actors on Apify
| PrizePicks | Betr Picks | DraftKings Pick6 | Underdog Fantasy | Multi-Source |
|---|---|---|---|---|
| Player Props Scraper | Picks Scraper | Pick6 Scraper | Player Props Scraper | Props Board |
| 51 fields · 29 leagues · odds tiers | GraphQL lobby · no login | Lines & payout multipliers | 45 fields · American/decimal odds | Cross-platform joins & line spread |
DFS props pipeline
Phase 1 — Single-platform boards Phase 2 — Cross-platform compare
PrizePicks Scraper ──┐
Betr Picks Scraper ──┤
Pick6 Scraper ──┼──► normalized props JSON ──► Multi-Source Board
Underdog Scraper ──┘ (shared schema) │
▼
comparisons dataset
line_spread, comparison_key
Each single-source Actor outputs the Crawloop DFS schema — compatible source, player_name, line, market, league, and matchup fields. The Multi-Source Board merges all platforms in one run and optionally emits side-by-side comparison rows.
Which DFS Apify Actor do I need?
| Your goal | Actor |
|---|---|
| PrizePicks board — demon/goblin tiers, 29 leagues, 51 fields | PrizePicks Player Props Scraper |
| Betr Picks lobby — GraphQL, no account | Betr Picks Scraper |
| DraftKings Pick6 slate — lines and payout multipliers | DraftKings Pick6 Scraper |
| Underdog Fantasy — odds, pitchers, venue/weather metadata | Underdog Player Props Scraper |
| All platforms in one run with line spread analysis | DFS Multi-Source Props Scraper |
Use cases
Line shopping dashboard
Run the Multi-Source Board with outputComparisons: true. Filter rows where line_spread >= 1.0 to surface props with the widest cross-book gap.
Single-book monitoring
Schedule PrizePicks or Underdog every few minutes during game windows. Use playerNames and statTypes filters to keep costs low.
Model backtesting
Export historical snapshots via Apify datasets. Join on comparison_key or player_name + market + league across runs.
Odds-comparison API
Trigger runs via Apify API and pull JSON from dataset endpoints into your backend.
Pricing
Pay-per-event on Apify. Filters are applied before dataset push — filtered-out rows are not billed on single-source scrapers.
| Actor | Typical price |
|---|---|
| PrizePicks, Underdog, Betr, Pick6 (single-source) | from $0.05 / 1,000 prop rows |
| Multi-Source Board | $0.15/run + $0.08 / 1,000 props + $0.20 / 1,000 comparison rows |
Exact pricing is shown on each Actor page before you run.
Quick start
- Create a free Apify account.
- Open the Actor you need from the table above.
- Set leagues (e.g.
["MLB"]) and enable US residential proxy where recommended. - Run — results appear in Dataset (JSON/CSV).
MLB board from PrizePicks — run on PrizePicks Player Props Scraper:
{
"leagues": ["MLB"],
"maxProjections": 30000
}
Cross-platform comparison — run on DFS Multi-Source Props Scraper:
{
"sources": ["prizepicks", "betr-picks", "draftkings-pick6", "underdog"],
"leagues": ["MLB"],
"outputComparisons": true,
"minComparisonSources": 2
}
API integration
All Actors support the Apify API and apify-client (Python / JavaScript).
pip install apify-client
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("crawloop/dfs-multi-source-props-scraper").call(
run_input={
"sources": ["prizepicks", "underdog"],
"leagues": ["NBA"],
"outputComparisons": True,
}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item["source"], item["player_name"], item["line"], item["market"])
Frequently asked questions
What is a DFS player props scraper?
A DFS player props scraper automates extraction of live player projections from pick’em platforms — player name, stat category, over/under line, odds, and matchup — into structured JSON or CSV for analytics, dashboards, or comparison tools.
How do I scrape PrizePicks player props?
Use the PrizePicks Player Props Scraper. It returns 51 fields per prop including demon/goblin odds tiers across 29 leagues. No login required.
Can I compare lines across PrizePicks, Betr, Pick6, and Underdog?
Yes. Use the DFS Multi-Source Props Scraper to collect all four platforms in one run. Enable outputComparisons for a dedicated dataset with line_spread and per-book lines.
Do I need a US proxy?
US residential proxy is recommended for Betr, DraftKings Pick6, and Underdog. PrizePicks may work with lighter proxy settings depending on slate and region.
Is this official PrizePicks or Underdog software?
No. These are unofficial integrations by Crawloop. Not affiliated with, sponsored by, or endorsed by PrizePicks, Betr, DraftKings, Underdog Fantasy, or their subsidiaries.
About Crawloop
Crawloop builds Apify Actors for sports analytics and industrial automation — live board data, structured schemas, and API-ready exports.
Product site: crawloop.com/sports-data · Industrial suite: crawloop.com/industrial-automation
Custom enterprise Actors or scheduled runs: contact via Apify Store or open an issue.
Disclaimer: Unofficial integrations developed independently of PrizePicks, Betr, DraftKings, Underdog Fantasy, or their subsidiaries. Platform names are trademarks of their respective owners. Data is read from publicly accessible web sources only. Provided for informational and research purposes only — not betting advice. You are responsible for compliance with applicable laws and platform terms of use. No warranty; use at your own risk.