# PubMed Daily Citations Tracker — by Query (`v0iddo/pubmed-daily-citations-tracker`) Actor Pull daily-new PubMed citations matching any query. One clean row per article — PMID, title, abstract, authors, journal, year, DOI, MeSH terms, full Pubmed URL. Built for cron: pass `sinceDays:1` to get just yesterday's new articles. Source: NCBI E-utilities (free, no auth). - **URL**: https://apify.com/v0iddo/pubmed-daily-citations-tracker.md - **Developed by:** [vøiddo](https://apify.com/v0iddo) (community) - **Categories:** Business, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $1.00 / 1,000 pubmed citation extracteds 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 ## PubMed Daily Citations Tracker — by Query Pull **daily-new PubMed citations** matching any query. One clean row per article — PMID, title, abstract, authors, journal, year, DOI, MeSH terms, full URL. Built **for cron**: pass `sinceDays: 1` and get just yesterday's new articles for your watchlist. No PubMed account, no API key, no scraping — uses NCBI's free E-utilities. ### Inputs ```json { "queries": ["CRISPR[ti]", "(mRNA vaccine) AND COVID-19"], "sinceDays": 1, "maxResultsPerQuery": 500, "includeAbstract": true, "includeMeshTerms": true } ```` | input | default | notes | |---|---|---| | `queries` | — | Required. PubMed search syntax — same as the search box at pubmed.ncbi.nlm.nih.gov. Multi-query = union. | | `sinceDays` | `7` | `entrez_date >= now-sinceDays`. Use `1` for daily cron. | | `maxResultsPerQuery` | `500` | Hard cap after date filter. | | `includeAbstract` | `true` | Set false to keep rows light. | | `includeMeshTerms` | `true` | Set false to drop the MeSH array. | | `email` | `ops@voiddo.com` | NCBI politeness header. | ### Output One row per article: | field | example | |---|---| | pmid | `42225850` | | title | `Targeted CRISPR-Cas9 ...` | | abstract | (when present, set `includeAbstract: true`) | | authors | `["Wang Y", "Chen X", ...]` | | journal | `Nat Biotechnol` | | year | `2026` | | publicationDate | `2026-05-30` | | entrezDate | `2026-05-31` | | doi | `10.1038/s41587-025-0xxxx` | | meshTerms | `["CRISPR-Cas Systems", "Genome Editing", ...]` | | query | the originating query (helps when you batch-search several) | | url | `https://pubmed.ncbi.nlm.nih.gov/42225850/` | ### Daily cron pattern ```json { "queries": ["CRISPR[ti]"], "sinceDays": 1 } ``` Schedule every morning. Each run yields only the prior day's new citations. Dedupe on `pmid` if you join across days. ### What it doesn't do - No full-text PDFs (those live behind publisher paywalls, not on PubMed). - No prediction or sentiment — raw metadata only. - No literature graph traversal — for that, see Crossref / OpenAlex actors. ### Maintained by [vøiddo studio](https://voiddo.com) — small independent shop, ships fixed-scope tools. # Actor input Schema ## `queries` (type: `array`): PubMed E-utilities query strings. Same syntax as the search box at pubmed.ncbi.nlm.nih.gov. Multiple queries are union'd. E.g. \["CRISPR\[ti]", "(mRNA vaccine) AND 2026\[dp]"]. ## `sinceDays` (type: `integer`): Filter by entrez\_date / publication date >= now-sinceDays. Use 1 for a daily cron. ## `maxResultsPerQuery` (type: `integer`): Hard cap per query (after date filter). Use to keep runs cheap. ## `includeAbstract` (type: `boolean`): Fetch the abstract via efetch. Adds a request per batch of ~200 PMIDs. Set false for lightweight rows. ## `includeMeshTerms` (type: `boolean`): Fetch MeSH descriptors via efetch. Adds nothing if includeAbstract is already true (same request). ## `email` (type: `string`): NCBI prefers identifying who is calling. Defaults to voiddo's ops address. ## Actor input object example ```json { "queries": [ "CRISPR[ti]" ], "sinceDays": 7, "maxResultsPerQuery": 500, "includeAbstract": true, "includeMeshTerms": true, "email": "ops@voiddo.com" } ``` # 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 = { "queries": [ "CRISPR[ti]" ] }; // Run the Actor and wait for it to finish const run = await client.actor("v0iddo/pubmed-daily-citations-tracker").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 = { "queries": ["CRISPR[ti]"] } # Run the Actor and wait for it to finish run = client.actor("v0iddo/pubmed-daily-citations-tracker").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 '{ "queries": [ "CRISPR[ti]" ] }' | apify call v0iddo/pubmed-daily-citations-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=v0iddo/pubmed-daily-citations-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "PubMed Daily Citations Tracker — by Query", "description": "Pull daily-new PubMed citations matching any query. One clean row per article — PMID, title, abstract, authors, journal, year, DOI, MeSH terms, full Pubmed URL. Built for cron: pass `sinceDays:1` to get just yesterday's new articles. Source: NCBI E-utilities (free, no auth).", "version": "0.1", "x-build-id": "bbr92oFjpxedPYWwH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/v0iddo~pubmed-daily-citations-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-v0iddo-pubmed-daily-citations-tracker", "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/v0iddo~pubmed-daily-citations-tracker/runs": { "post": { "operationId": "runs-sync-v0iddo-pubmed-daily-citations-tracker", "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/v0iddo~pubmed-daily-citations-tracker/run-sync": { "post": { "operationId": "run-sync-v0iddo-pubmed-daily-citations-tracker", "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": [ "queries" ], "properties": { "queries": { "title": "PubMed queries", "type": "array", "description": "PubMed E-utilities query strings. Same syntax as the search box at pubmed.ncbi.nlm.nih.gov. Multiple queries are union'd. E.g. [\"CRISPR[ti]\", \"(mRNA vaccine) AND 2026[dp]\"].", "items": { "type": "string" } }, "sinceDays": { "title": "Look back (days)", "minimum": 1, "maximum": 3650, "type": "integer", "description": "Filter by entrez_date / publication date >= now-sinceDays. Use 1 for a daily cron.", "default": 7 }, "maxResultsPerQuery": { "title": "Max results per query", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Hard cap per query (after date filter). Use to keep runs cheap.", "default": 500 }, "includeAbstract": { "title": "Include abstract", "type": "boolean", "description": "Fetch the abstract via efetch. Adds a request per batch of ~200 PMIDs. Set false for lightweight rows.", "default": true }, "includeMeshTerms": { "title": "Include MeSH terms", "type": "boolean", "description": "Fetch MeSH descriptors via efetch. Adds nothing if includeAbstract is already true (same request).", "default": true }, "email": { "title": "Contact email (NCBI politeness)", "type": "string", "description": "NCBI prefers identifying who is calling. Defaults to voiddo's ops address.", "default": "ops@voiddo.com" } } }, "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 } } } } } } } } } } ```