# FantasyPros NFL Projections, ADP & Rankings Scraper (`jungle_synthesizer/fantasypros-nfl-projections-adp-rankings-scraper`) Actor Scrape FantasyPros consensus NFL projections, ADP (Average Draft Position), and expert consensus rankings for all positions and scoring formats. Collect weekly projected stats, projected fantasy points, ADP across draft formats, and tier-based rankings with best/worst/std-dev expert spread. - **URL**: https://apify.com/jungle\_synthesizer/fantasypros-nfl-projections-adp-rankings-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Sports, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## FantasyPros NFL Projections, ADP & Rankings Scraper Scrape FantasyPros consensus NFL projections, Average Draft Position (ADP), and expert consensus rankings (ECR) for all positions and scoring formats — in one actor. FantasyPros aggregates projections from 100+ fantasy football analysts and is the #1 consensus data source in the industry. This actor gives you programmatic access to: - **Weekly projections** with position-specific stat breakdowns (pass yds, rush yds, targets, etc.) and consensus fantasy points - **ADP data** across standard, PPR, half-PPR, dynasty, and keeper formats - **Expert consensus rankings (ECR)** with best/worst/std-dev spread across all participating analysts ### What you get Each record includes: | Field | Description | |-------|-------------| | `player_name` | Full player name (e.g. "Patrick Mahomes") | | `team` | NFL team abbreviation (e.g. "KC") | | `position` | Player position (QB, RB, WR, TE, K, DST) | | `scoring_format` | Scoring format used (STD, HALF, PPR) | | `week` | NFL week number (1–18; 0 = season-long) | | `data_type` | Record type: `projections`, `adp`, or `rankings` | | `projected_points` | Consensus projected fantasy points | | `projected_stats` | Position-specific stat projections (JSON string) | | `adp` | Average Draft Position | | `adp_source` | ADP format/source (e.g. "overall", "ppr-overall") | | `consensus_rank` | Consensus Expert Rank (ECR) | | `best_rank` | Best (lowest) rank from any expert | | `worst_rank` | Worst (highest) rank from any expert | | `std_dev` | Standard deviation of expert ranks | #### Projected stats format by position The `projected_stats` field is a JSON string with position-specific keys: - **QB**: `pass_att`, `pass_cmp`, `pass_yds`, `pass_td`, `int`, `rush_att`, `rush_yds`, `rush_td`, `fl` - **RB**: `rush_att`, `rush_yds`, `rush_td`, `rec`, `rec_yds`, `rec_td`, `fl` - **WR**: `rec`, `rec_yds`, `rec_td`, `rush_att`, `rush_yds`, `rush_td`, `fl` - **TE**: `rec`, `rec_yds`, `rec_td`, `fl` - **K**: `fg`, `fga`, `xpt` - **DST**: `sack`, `int`, `fr`, `ff`, `td`, `safety`, `pa`, `yds_agn` ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `dataType` | string | `projections` | Which data to scrape: `projections`, `adp`, or `rankings` | | `positions` | array | all positions | Positions to include: QB, RB, WR, TE, K, DST | | `scoringFormat` | string | `STD` | Scoring format: `STD`, `HALF`, or `PPR` | | `week` | integer | `1` | NFL week (1–18; 0 for season-long) | | `adpFormat` | string | `overall` | ADP format: `overall`, `ppr-overall`, `half-ppr-overall`, `dynasty-overall`, `keeper-overall` | | `maxItems` | integer | required | Maximum records to return (use 0 for unlimited) | ### Example inputs **Get QB + RB projections for week 3 in PPR format:** ```json { "dataType": "projections", "positions": ["QB", "RB"], "scoringFormat": "PPR", "week": 3, "maxItems": 200 } ```` **Get full PPR ADP for dynasty leagues:** ```json { "dataType": "adp", "adpFormat": "dynasty-overall", "maxItems": 500 } ``` **Get consensus expert rankings for all skill positions:** ```json { "dataType": "rankings", "positions": ["QB", "RB", "WR", "TE"], "scoringFormat": "PPR", "week": 1, "maxItems": 500 } ``` ### Pricing Pay-per-result. You are charged only for records successfully scraped and returned. ### Notes - A single run fetches one page per position (6 pages max for projections/rankings, 1 page for ADP). Typical run time is under 30 seconds. - Data is updated weekly during the NFL regular season (August–January). Rankings and projections are available for weeks 1–18. - The `week` parameter defaults to 1; the current active week is shown on the FantasyPros site. - Projections for DST (Defense/Special Teams) include points allowed and yards allowed against, not individual defensive player stats. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of records to scrape (0 = unlimited) ## `dataType` (type: `string`): Which data to scrape: "projections" (weekly player projections), "adp" (average draft position), or "rankings" (consensus expert rankings). Defaults to "projections". ## `positions` (type: `array`): Player positions to include. Valid values: QB, RB, WR, TE, K, DST. Defaults to all positions. Not used for ADP (covers all positions). ## `scoringFormat` (type: `string`): Scoring format: "STD" (standard), "HALF" (half-PPR), or "PPR" (full PPR). Defaults to "STD". Used for projections and rankings. ## `week` (type: `integer`): NFL week number (1-18) for projections and rankings. Defaults to current week. Set to 0 for season-long (rest-of-season) projections. ## `adpFormat` (type: `string`): ADP draft format: "overall" (standard), "ppr" (PPR), "half-ppr", "dynasty", "keeper". Defaults to "overall". ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "dataType": "projections", "positions": [ "QB", "RB", "WR", "TE", "K", "DST" ], "scoringFormat": "STD", "week": 1, "adpFormat": "overall" } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "dataType": "projections", "positions": [ "QB", "RB", "WR", "TE", "K", "DST" ], "scoringFormat": "STD", "week": 1, "adpFormat": "overall" }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/fantasypros-nfl-projections-adp-rankings-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "dataType": "projections", "positions": [ "QB", "RB", "WR", "TE", "K", "DST", ], "scoringFormat": "STD", "week": 1, "adpFormat": "overall", } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/fantasypros-nfl-projections-adp-rankings-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "dataType": "projections", "positions": [ "QB", "RB", "WR", "TE", "K", "DST" ], "scoringFormat": "STD", "week": 1, "adpFormat": "overall" }' | apify call jungle_synthesizer/fantasypros-nfl-projections-adp-rankings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/fantasypros-nfl-projections-adp-rankings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "FantasyPros NFL Projections, ADP & Rankings Scraper", "description": "Scrape FantasyPros consensus NFL projections, ADP (Average Draft Position), and expert consensus rankings for all positions and scoring formats. Collect weekly projected stats, projected fantasy points, ADP across draft formats, and tier-based rankings with best/worst/std-dev expert spread.", "version": "0.1", "x-build-id": "eqV6KAhHJbMIQFreP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~fantasypros-nfl-projections-adp-rankings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-fantasypros-nfl-projections-adp-rankings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~fantasypros-nfl-projections-adp-rankings-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-fantasypros-nfl-projections-adp-rankings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~fantasypros-nfl-projections-adp-rankings-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-fantasypros-nfl-projections-adp-rankings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of records to scrape (0 = unlimited)" }, "dataType": { "title": "Data Type", "enum": [ "projections", "adp", "rankings" ], "type": "string", "description": "Which data to scrape: \"projections\" (weekly player projections), \"adp\" (average draft position), or \"rankings\" (consensus expert rankings). Defaults to \"projections\"." }, "positions": { "title": "Positions", "type": "array", "description": "Player positions to include. Valid values: QB, RB, WR, TE, K, DST. Defaults to all positions. Not used for ADP (covers all positions).", "items": { "type": "string" } }, "scoringFormat": { "title": "Scoring Format", "enum": [ "STD", "HALF", "PPR" ], "type": "string", "description": "Scoring format: \"STD\" (standard), \"HALF\" (half-PPR), or \"PPR\" (full PPR). Defaults to \"STD\". Used for projections and rankings." }, "week": { "title": "Week", "minimum": 0, "maximum": 18, "type": "integer", "description": "NFL week number (1-18) for projections and rankings. Defaults to current week. Set to 0 for season-long (rest-of-season) projections." }, "adpFormat": { "title": "ADP Format", "enum": [ "overall", "ppr-overall", "half-ppr-overall", "dynasty-overall", "keeper-overall" ], "type": "string", "description": "ADP draft format: \"overall\" (standard), \"ppr\" (PPR), \"half-ppr\", \"dynasty\", \"keeper\". Defaults to \"overall\"." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```