# PACER RSS Docket Monitor (`moving_beacon-owner1/pacer-rss-docket-monitor`) Actor Monitor the latest PACER federal court docket entries across multiple courts. Filter by case numbers or keywords, deduplicate results across runs, and receive only new docket updates with parsed entry details and timestamps. - **URL**: https://apify.com/moving\_beacon-owner1/pacer-rss-docket-monitor.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** Automation, Developer tools, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.99 / 1,000 results 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## PACER RSS Docket Monitor Apify actor that pulls the latest docket entries from federal courts ### Why it's more than a feed reader - **Multiple courts per run** — `["cand", "nysd", "txed"]` - **Filters** — keep only entries matching keywords (`"apple"`, `"motion to dismiss"`) and/or case-number substrings (`"3:26-cv-01234"`); filters combine as OR. - **Cross-run dedup** — set `deduplicationStoreName` (e.g. `pacer-seen`) and schedule the actor every 15-30 min: each run pushes **only new** docket entries. Wire the dataset to a webhook/notification and you have a free docket-alerting pipeline for the cases you track. - **Parsed entries** — the raw `[~Util - Set/Reset Hearings] ( 16 )` descriptions are split into `entry_type` + `document_number`, and RFC-822 dates get ISO twins (`published_iso`). ### Example input ```json { "courts": ["cand", "nysd"], "filterCaseNumbers": ["3:26-cv-01234"], "filterKeywords": ["securities"], "deduplicationStoreName": "pacer-seen", "maxEntriesPerCourt": 200 } ```` ### Example output item ```json { "court": "cand", "case_number": "5:26-mj-70393-1", "case_name": "USA v. Nambiar", "entry": "[~Util - Set/Reset Hearings] ( 16 )", "entry_type": "Util - Set/Reset Hearings", "document_number": 16, "link": "https://ecf.cand.uscourts.gov/cgi-bin/DktRpt.pl?467379", "published": "Thu, 16 Jul 2026 18:29:57 GMT", "published_iso": "2026-07-16T18:29:57Z", "fetched_at": "2026-07-17T12:00:00Z" } ``` Run summary (pushed / already-seen / filtered counts + errors) is stored under key `SUMMARY`. ### Court codes District codes are state + district, e.g. `cand` (N.D. Cal), `nysd` (S.D.N.Y.), `nyed` (E.D.N.Y.), `txed` (E.D. Tex), `txwd` (W.D. Tex), `ded` (D. Del), `ilnd` (N.D. Ill), `flsd` (S.D. Fla), `wawd` (W.D. Wash). Bankruptcy courts append `b`: `candb`, `nysb`, `deb`. Appellate: `ca1`…`ca11`, `cadc`, `cafc`. **Not every court enables the public feed** — a 404 means that court doesn't publish one; the actor reports it as a per-court error and continues. Feeds typically contain only the last few hours of activity, so schedule accordingly (every 15-60 min for monitoring). # Actor input Schema ## `courts` (type: `array`): ECF court codes: district courts like `cand` (N.D. Cal), `nysd` (S.D.N.Y.), `txed` (E.D. Tex), `ded` (D. Del); bankruptcy courts add `b` (`candb`, `nysb`). Appellate: `ca9` etc. Full ecf.\*.uscourts.gov URLs also accepted. Not every court enables the public feed. ## `maxEntriesPerCourt` (type: `integer`): Cap on docket entries read from each feed (feeds usually contain the last few hours of activity). ## `filterKeywords` (type: `array`): Only keep entries whose case name, entry text, or case number contains one of these (case-insensitive). E.g. `apple`, `motion to dismiss`, `securities`. Empty = keep everything. ## `filterCaseNumbers` (type: `array`): Only keep entries whose case number contains one of these substrings, e.g. `3:26-cv-01234`. Combined with keyword filters as OR. ## `deduplicationStoreName` (type: `string`): Name of a persistent key-value store for cross-run dedup, e.g. `pacer-seen`. When set, scheduled runs only push docket entries not seen in previous runs — ideal for alerting. Leave empty to push everything every run. ## `proxyConfiguration` (type: `object`): Court RSS feeds are public and rarely rate-limit; a proxy is almost never needed. ## Actor input object example ```json { "courts": [ "cand", "nysd" ], "maxEntriesPerCourt": 100, "filterKeywords": [], "filterCaseNumbers": [], "deduplicationStoreName": "", "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "courts": [ "cand", "nysd" ] }; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/pacer-rss-docket-monitor").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 = { "courts": [ "cand", "nysd", ] } # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/pacer-rss-docket-monitor").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 '{ "courts": [ "cand", "nysd" ] }' | apify call moving_beacon-owner1/pacer-rss-docket-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/pacer-rss-docket-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "PACER RSS Docket Monitor", "description": "Monitor the latest PACER federal court docket entries across multiple courts. Filter by case numbers or keywords, deduplicate results across runs, and receive only new docket updates with parsed entry details and timestamps.", "version": "0.0", "x-build-id": "Zcmx7raDowdbBelNi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~pacer-rss-docket-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-pacer-rss-docket-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~pacer-rss-docket-monitor/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-pacer-rss-docket-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~pacer-rss-docket-monitor/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-pacer-rss-docket-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "courts" ], "properties": { "courts": { "title": "Court codes", "type": "array", "description": "ECF court codes: district courts like `cand` (N.D. Cal), `nysd` (S.D.N.Y.), `txed` (E.D. Tex), `ded` (D. Del); bankruptcy courts add `b` (`candb`, `nysb`). Appellate: `ca9` etc. Full ecf.*.uscourts.gov URLs also accepted. Not every court enables the public feed.", "default": [ "cand" ], "items": { "type": "string" } }, "maxEntriesPerCourt": { "title": "Max entries per court", "minimum": 1, "maximum": 500, "type": "integer", "description": "Cap on docket entries read from each feed (feeds usually contain the last few hours of activity).", "default": 100 }, "filterKeywords": { "title": "Keyword filters (optional)", "type": "array", "description": "Only keep entries whose case name, entry text, or case number contains one of these (case-insensitive). E.g. `apple`, `motion to dismiss`, `securities`. Empty = keep everything.", "default": [], "items": { "type": "string" } }, "filterCaseNumbers": { "title": "Case number filters (optional)", "type": "array", "description": "Only keep entries whose case number contains one of these substrings, e.g. `3:26-cv-01234`. Combined with keyword filters as OR.", "default": [], "items": { "type": "string" } }, "deduplicationStoreName": { "title": "Deduplication store name (optional)", "type": "string", "description": "Name of a persistent key-value store for cross-run dedup, e.g. `pacer-seen`. When set, scheduled runs only push docket entries not seen in previous runs — ideal for alerting. Leave empty to push everything every run.", "default": "" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Court RSS feeds are public and rarely rate-limit; a proxy is almost never needed.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```