# SEC EDGAR Full-Text Search & Financial Filings - Data Scraper (`gettingtechnicl/edgar-scraper`) Actor Extract record data from SEC EDGAR Full-Text Search & Financial Filings (US Securities and Exchange Commission) via its official public JSON API. Search by forms, search query, period ending and export 20 structured fields per record as JSON, CSV or Excel - reliable, with no fragile HTML scraping. - **URL**: https://apify.com/gettingtechnicl/edgar-scraper.md - **Developed by:** [Terry Gluff](https://apify.com/gettingtechnicl) (community) - **Categories:** Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $50.00 / 1,000 verified record 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/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 ## SEC EDGAR Full-Text Search & Financial Filings - Data Scraper Extract record data from SEC EDGAR Full-Text Search & Financial Filings (US Securities and Exchange Commission) via its official public JSON API. Search by forms, search query, period ending and export 20 structured fields per record as JSON, CSV or Excel - reliable, with no fragile HTML scraping. ### What you get Every record is delivered as a clean, structured row you can export to **JSON, CSV, or Excel**. Fields include: - `index` - `id` - `score` - `ciks` - `period_ending` - `file_num` - `display_names` - `xsl` - `sequence` - `root_forms` - `file_date` - `biz_states` - `sics` - `form` - `adsh` - `film_num` - `biz_locations` - `file_type` - `file_description` - `inc_states` ### Input Configure the run with these options (all optional -- leave blank to fetch everything): - **Forms** — Value for the `forms` query parameter (comma-separate multiple values where the API supports it). Leave blank to use the default. - **Search query** — Search term used to filter results, for example a name, title, or keyword. The actor returns records matching this text. Leave blank to fetch a default sample. - **Filter: Period Ending** — Client-side filter on period_ending. Pick from a dropdown of valid values. - **Filter: Form** — Client-side filter on form. Pick from a dropdown of valid values. - **Date From** — Filter by the `startdt` date. Prefilled with a working default; change it to widen or shift the range, or clear it for the API default. Use the format the API expects (e.g. YYYY-MM-DD). - **Date To** — Filter by the `enddt` date. Prefilled with a working default; change it to widen or shift the range, or clear it for the API default. Use the format the API expects (e.g. YYYY-MM-DD). - **Maximum results** — cap how many records to return. ### How to use 1. Click **Start** (or call the Actor via the [Apify API](https://docs.apify.com/api/v2) or a client SDK). 2. Set any filters you need and run it. 3. Download the results as JSON, CSV, or Excel from the run's dataset. ### Pricing This Actor uses **pay-per-result** pricing: you are billed only for the records it returns, with no monthly subscription. ### Notes This Actor collects publicly available data. Please use it responsibly and in line with the source website's terms of service. # Actor input Schema ## `search_forms` (type: `string`): Value for the `forms` query parameter (comma-separate multiple values where the API supports it). Leave blank to use the default. ## `search_q` (type: `string`): Search term used to filter results, for example a name, title, or keyword. The actor returns records matching this text. Leave blank to fetch a default sample. ## `filter_period_ending` (type: `string`): Client-side filter on period_ending. ## `filter_form` (type: `string`): Client-side filter on form. ## `date_from` (type: `string`): Filter by the `startdt` date. Prefilled with a working default; change it to widen or shift the range, or clear it for the API default. Use the format the API expects (e.g. YYYY-MM-DD). ## `date_to` (type: `string`): Filter by the `enddt` date. Prefilled with a working default; change it to widen or shift the range, or clear it for the API default. Use the format the API expects (e.g. YYYY-MM-DD). ## `max_items` (type: `integer`): Maximum number of records to fetch and push to the dataset. ## `proxyConfiguration` (type: `object`): Apify Proxy configuration. Defaults to Apify Proxy (datacenter): many sites serve REDUCED or blocked content to Apify's bare platform IP but full content through a proxy (BuyRentKenya returned 5 vs 25 listings, run 41307), so a proxy is used by default for complete, reliable results. Switch to Residential here if a site also blocks datacenter IPs. ## Actor input object example ```json { "search_forms": "10-K", "date_from": "2023-01-01", "date_to": "2024-01-01", "max_items": 3, "proxyConfiguration": { "useApifyProxy": true } } ```` # 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 = { "search_forms": "10-K", "date_from": "2023-01-01", "date_to": "2024-01-01", "max_items": 3, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("gettingtechnicl/edgar-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 = { "search_forms": "10-K", "date_from": "2023-01-01", "date_to": "2024-01-01", "max_items": 3, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("gettingtechnicl/edgar-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 '{ "search_forms": "10-K", "date_from": "2023-01-01", "date_to": "2024-01-01", "max_items": 3, "proxyConfiguration": { "useApifyProxy": true } }' | apify call gettingtechnicl/edgar-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gettingtechnicl/edgar-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC EDGAR Full-Text Search & Financial Filings - Data Scraper", "description": "Extract record data from SEC EDGAR Full-Text Search & Financial Filings (US Securities and Exchange Commission) via its official public JSON API. Search by forms, search query, period ending and export 20 structured fields per record as JSON, CSV or Excel - reliable, with no fragile HTML scraping.", "version": "0.1", "x-build-id": "7Nmenp0kEX6ThrbA2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gettingtechnicl~edgar-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gettingtechnicl-edgar-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gettingtechnicl~edgar-scraper/runs": { "post": { "operationId": "runs-sync-gettingtechnicl-edgar-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gettingtechnicl~edgar-scraper/run-sync": { "post": { "operationId": "run-sync-gettingtechnicl-edgar-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "search_forms": { "title": "Forms", "type": "string", "description": "Value for the `forms` query parameter (comma-separate multiple values where the API supports it). Leave blank to use the default." }, "search_q": { "title": "Search query", "type": "string", "description": "Search term used to filter results, for example a name, title, or keyword. The actor returns records matching this text. Leave blank to fetch a default sample." }, "filter_period_ending": { "title": "Filter: Period Ending", "enum": [ "", "2022-12-31", "2023-09-30" ], "type": "string", "description": "Client-side filter on period_ending." }, "filter_form": { "title": "Filter: Form", "enum": [ "", "10-K", "10-K/A" ], "type": "string", "description": "Client-side filter on form." }, "date_from": { "title": "Date From", "type": "string", "description": "Filter by the `startdt` date. Prefilled with a working default; change it to widen or shift the range, or clear it for the API default. Use the format the API expects (e.g. YYYY-MM-DD)." }, "date_to": { "title": "Date To", "type": "string", "description": "Filter by the `enddt` date. Prefilled with a working default; change it to widen or shift the range, or clear it for the API default. Use the format the API expects (e.g. YYYY-MM-DD)." }, "max_items": { "title": "Maximum results", "minimum": 1, "type": "integer", "description": "Maximum number of records to fetch and push to the dataset.", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify Proxy configuration. Defaults to Apify Proxy (datacenter): many sites serve REDUCED or blocked content to Apify's bare platform IP but full content through a proxy (BuyRentKenya returned 5 vs 25 listings, run 41307), so a proxy is used by default for complete, reliable results. Switch to Residential here if a site also blocks datacenter IPs.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```