We extract Expert Consensus Rankings, ADP, player projections, and historical stats from FantasyPros. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Rankings (ECR) objects from fantasypros.com. All fields typed and schema-versioned.
"player_id": "16393", "player_name": "Justin Jefferson", "position": "WR", "team": "MIN", "avg_rank": 2.1, "best_rank": 1.0, "worst_rank": 5.0, "tier": 1
| # | player_id | player_name | position | team | bye_week | best_rank |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Projections objects from fantasypros.com. All fields typed and schema-versioned.
"player_id": "16393", "player_name": "Justin Jefferson", "position": "WR", "rec": 108.5, "rec_yds": 1612.4, "rec_tds": 9.2, "fpts": 324.9
| # | player_id | player_name | position | team | pass_yds | pass_tds |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Historical Stats objects from fantasypros.com. All fields typed and schema-versioned.
"player_id": "11667", "player_name": "Patrick Mahomes II", "season": 2023, "week": 7, "pass_yds": 424.0, "pass_td": 4, "rush_yds": 29.0, "fpts": 33.8
| # | player_id | player_name | season | week | opponent | pass_cmp |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Average Draft Position objects from fantasypros.com. All fields typed and schema-versioned.
"player_id": "16421", "player_name": "CeeDee Lamb", "position": "WR", "espn_adp": 2.4, "sleeper_adp": 1.9, "yahoo_adp": 2.1, "avg_adp": 2.1
| # | player_id | player_name | position | team | espn_adp | sleeper_adp |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Injuries & Status objects from fantasypros.com. All fields typed and schema-versioned.
"player_id": "16432", "player_name": "Joe Burrow", "position": "QB", "injury_type": "Wrist", "status": "Active", "practice_status": "Full", "updated_at": "2024-08-14T10:05:00Z"
| # | player_id | player_name | position | team | injury_type | status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our FantasyPros scraper handles complex data tables, dynamic JavaScript hydration, and multi-sport pagination to deliver structured projections and rankings without the manual export overhead.
Extract Expert Consensus Rankings across all scoring formats (PPR, Half-PPR, Standard) with highest, lowest, and average ranks.
Capture Average Draft Position data aggregated from ESPN, Yahoo, Sleeper, RTSports, and NFFC platforms.
Scrape weekly and rest-of-season projections for passing, rushing, and receiving metrics across all skill positions.
Extract daily fantasy sports salaries and projected values for DraftKings, FanDuel, and Yahoo contests.
Monitor player injury statuses, practice participation reports, and expected return timelines.
Extract game-by-game historical performance data, target shares, and snap counts for backtesting models.
Unified extraction schemas for NFL, NBA, MLB, and NHL data available on the FantasyPros platform.
Bypass client-side rendering limitations by executing JavaScript to capture fully loaded data grids.
Configure pipelines to run daily during the offseason or hourly on game days to capture the latest projection shifts.
Brief in. Clean data out.
Provide target sports, scoring formats, and required metrics. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for fantasypros.com.
Schema validation, null-rate checks, and data type normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Sports data platforms rely heavily on dynamic tables and rate limiting. Here is how we ensure your data feed remains uninterrupted.
FantasyPros projections and rankings are heavily JavaScript-rendered. We run full Playwright browser sessions with JavaScript execution and lazy-load triggering to capture data that headless HTTP clients miss entirely.
Sports data tables frequently change structure between seasons. Our selector strategy uses multiple fallback chains per field so a layout change does not break your data pipeline overnight.
For large player catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
We use residential ISP proxies with realistic browser fingerprints and randomised request timing to bypass rate limits and IP bans during high-traffic draft weekends.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, schema drift, and coverage drops, and respond before you notice.
Daily fantasy players and syndicates feed projections and salary data into proprietary optimisers to build high-EV lineups.
Quantitative bettors compare consensus player projections against sportsbook player props to identify pricing inefficiencies.
Fantasy sports blogs and news outlets use ranking data to generate automated content and player evaluation articles.
Software developers build custom draft tools and cheat sheets powered by fresh ADP and ECR data feeds.
Machine learning engineers use historical stats and past projections to train custom player performance models.
Analysts track target shares, snap counts, and red-zone usage to forecast breakout performances.
"FantasyPros aggregates the entire fantasy industry into a single ranking consensus, but programmatically accessing that data requires a resilient extraction pipeline."
Most teams underestimate the investment required: reliable FantasyPros scraping requires handling complex dynamic data tables, JavaScript rendering, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our fantasypros.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering and interaction flows for dynamic data grids.
We maintain pools of residential ISP proxies. Rotation happens per-request to prevent IP bans during high-traffic draft seasons.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About fantasypros.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available sports data and rankings is generally permissible. DataFlirt targets only public, non-authenticated projection and ECR data. We do not circumvent authentication walls for premium content.
We use full Playwright browser sessions to execute JavaScript and trigger lazy-loading, ensuring all rows and columns in the projection grids are fully hydrated before extraction.
We support NFL, NBA, MLB, and NHL data extraction, mapping the diverse data structures into a normalised schema.
Pipelines can be configured to run hourly during critical game-day windows or daily during the offseason to capture the latest injury reports and projection updates.
Yes. We can extract historical game logs, past season projections, and previous ADP data available on the public platform.
Our smallest packages start at a defined player list and sport with weekly delivery. For continuous hourly updates across multiple sports, we price based on volume and compute requirements.
No. We do not extract data behind the FantasyPros premium paywall, nor do we interact with authenticated features like My Playbook league sync.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off historical stat dump or a continuous projection feed across four sports — we scope, build, and operate the pipeline. Tell us what you need.
