# Poets & Writers Literary Agents, Magazines & Grants Scraper (`jungle_synthesizer/pw-org-literary-agents-magazines-grants-scraper`) Actor Scrape the complete Poets & Writers (pw.org) database: literary agents, magazines, small presses, and writing contests/grants. Covers genres, submission guidelines, reading periods, grant deadlines, and prize amounts. - **URL**: https://apify.com/jungle\_synthesizer/pw-org-literary-agents-magazines-grants-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Education, For creators - **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 ## Poets & Writers Literary Agents, Magazines & Grants Scraper Scrape the complete [Poets & Writers](https://www.pw.org) directory: literary agents, literary magazines, small presses, and writing contests/grants. Exports structured JSON records with genres, submission guidelines, reading periods, deadlines, and prize amounts. ### What it scrapes | Record type | Source listing | Fields | |---|---|---| | `literary_agent` | `/literary_agents` | name, agency, genres, representative authors, submission guidelines, email, website | | `literary_magazine` | `/literary_magazines` | publication name, editorial focus, genres, reading period, payment terms, circulation, format | | `small_press` | `/small_presses` | publication name, editorial focus, genres, reading period, reading fee, simultaneous submissions | | `grant_award` | `/writing_contests` | award name, sponsor, prize amount, deadline, entry fee, eligibility | All records include `source_url` (the canonical pw.org URL) and `record_type`. ### Input | Field | Type | Default | Description | |---|---|---|---| | `recordTypes` | array | all 4 types | Which record types to scrape. Options: `literary_agent`, `literary_magazine`, `small_press`, `grant_award` | | `maxItems` | integer | *(none)* | Maximum records to collect across all types. Omit to scrape everything. | #### Example input ```json { "recordTypes": ["literary_agent", "grant_award"], "maxItems": 50 } ```` ### Output One dataset item per record. All fields are optional — absent values are omitted rather than set to `null`. #### Literary agent example ```json { "record_type": "literary_agent", "name": "Laurie Abkemeier", "agency": "DeFiore and Company", "genres_represented": "General Nonfiction, Narrative Nonfiction, Health and Medicine", "submission_guidelines": "Query by e-mail only...", "accepts_email_queries": "Yes", "website": "https://defliterary.com", "source_url": "https://www.pw.org/literary_agents/laurie_abkemeier" } ``` #### Grant/award example ```json { "record_type": "grant_award", "award_name": "New Writers Awards", "sponsor": "Great Lakes Colleges Association", "prize_amount": "$500 and campus visits", "deadline": "February", "entry_fee": "None", "eligibility": "First book of fiction, poetry, or creative nonfiction", "source_url": "https://www.pw.org/writing_contests/new_writers_awards" } ``` ### Coverage Poets & Writers maintains one of the most comprehensive databases of literary market information in the United States: - **~230** literary agents - **~155** literary magazines - **~235** small presses - **~45** writing contests and grants Full crawl typically completes in 15-30 minutes depending on the record types selected. ### Notes - **No account or API key required** — all data is publicly accessible on pw.org. - **Respectful crawling** — the actor uses low concurrency to avoid overloading pw.org's servers. - Data reflects the current state of the pw.org directory at the time of the run. Agents, submission windows, and deadlines change frequently — re-run regularly for up-to-date results. # 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 across all categories. Leave blank to scrape all. ## `recordTypes` (type: `array`): Which record types to scrape. Leave blank for all. Options: "literary\_agent", "literary\_magazine", "small\_press", "grant\_award" ## 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, "recordTypes": [ "literary_agent", "literary_magazine", "small_press", "grant_award" ] } ``` # 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, "recordTypes": [ "literary_agent", "literary_magazine", "small_press", "grant_award" ] }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/pw-org-literary-agents-magazines-grants-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, "recordTypes": [ "literary_agent", "literary_magazine", "small_press", "grant_award", ], } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/pw-org-literary-agents-magazines-grants-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, "recordTypes": [ "literary_agent", "literary_magazine", "small_press", "grant_award" ] }' | apify call jungle_synthesizer/pw-org-literary-agents-magazines-grants-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/pw-org-literary-agents-magazines-grants-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Poets & Writers Literary Agents, Magazines & Grants Scraper", "description": "Scrape the complete Poets & Writers (pw.org) database: literary agents, magazines, small presses, and writing contests/grants. Covers genres, submission guidelines, reading periods, grant deadlines, and prize amounts.", "version": "0.1", "x-build-id": "iZFrhLhnXQf6qe3wk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~pw-org-literary-agents-magazines-grants-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-pw-org-literary-agents-magazines-grants-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~pw-org-literary-agents-magazines-grants-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-pw-org-literary-agents-magazines-grants-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~pw-org-literary-agents-magazines-grants-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-pw-org-literary-agents-magazines-grants-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "recordTypes" ], "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 across all categories. Leave blank to scrape all." }, "recordTypes": { "title": "Record Types", "type": "array", "description": "Which record types to scrape. Leave blank for all. Options: \"literary_agent\", \"literary_magazine\", \"small_press\", \"grant_award\"\n", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```