# SEC EDGAR Full Text M\&A Filings Scraper (`parseforge/sec-mna-edgar-fulltext-scraper`) Actor Run full text queries across SEC EDGAR filings for phrases such as merger agreement, then restrict by CIK list, form types like 8K or S1, and a custom date window. Returns filer, form type, filed date, accession number, and document links. Useful for M\&A research. - **URL**: https://apify.com/parseforge/sec-mna-edgar-fulltext-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Automation, Integrations, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $7.50 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## SEC EDGAR Full-Text M&A Filings Scraper > ๐Ÿš€ **Export SEC EDGAR full-text search hits in seconds. Mergers, acquisitions, and any keyword across all public filings.** > ๐Ÿ•’ **Last updated:** 2026-06-05 . **๐Ÿ“Š 9 fields** per record . Public API . Real-time The SEC EDGAR Full-Text M&A Filings Scraper turns the [SEC EDGAR full-text search](https://efts.sec.gov) public REST endpoint into a clean, structured dataset. | ๐ŸŽฏ Target Audience | ๐Ÿ’ก Primary Use Cases | |---|---| | ๐Ÿ’ผ M&A analysts | Track new deal filings | | โš–๏ธ Securities lawyers | Mirror EDGAR queries into spreadsheets | | ๐Ÿ“ฐ Reporters | Build deal-news training sets | | ๐Ÿค– ML researchers | Verify filing metadata | ### ๐Ÿ“‹ What the SEC EDGAR Full-Text M&A Filings Scraper does - Calls https://efts.sec.gov/LATEST/search-index with your query. - Flattens each hit into a row with company, CIK, form type, filing date, snippet. - Supports date range, form type, and CIK filters. - Surfaces upstream errors as clean rows. > ๐Ÿ’ก **Why it matters.** The source returns raw API payloads that most data tools cannot ingest directly. This actor normalizes everything into a flat row format ready for analysis. ### ๐ŸŽฌ Full Demo _๐Ÿšง Coming soon._ ### โš™๏ธ Input
FieldTypeRequiredDescription
maxItemsintegerNoFree users limited to 10. Paid users up to 1,000,000. Prefill 10.
**Example 1.** ```json { "q": "merger agreement", "forms": "8-K", "maxItems": 50 } ```` **Example 2.** ```json { "q": "tender offer", "dateRange": "custom", "startdt": "2025-01-01", "enddt": "2025-12-31", "maxItems": 100 } ``` > โš ๏ธ **Good to Know.** This actor uses a public endpoint. No login or API key is required. ### ๐Ÿ“Š Output | Field | Type | Description | |---|---|---| | ๐Ÿข `company` | string | Filer display name. | | ๐Ÿ†” `cik` | string | SEC Central Index Key. | | ๐Ÿ“„ `formType` | string | EDGAR form type. | | ๐Ÿ“… `filingDate` | string | Filing date. | | ๐Ÿ”ข `accessionNumber` | string | EDGAR accession number. | | โœ‚๏ธ `snippet` | string | Matched text snippet. | | ๐Ÿ”— `url` | string | Direct link to filing. | | ๐Ÿ•’ `scrapedAt` | string | Fetch time. | | โŒ `error` | string | Set if upstream error. | **Sample record.** ```json { "company": "Apple Inc.", "cik": "0000320193", "formType": "8-K", "filingDate": "2025-09-12", "accessionNumber": "0001185185-13-002042", "snippet": "merger agreement dated...", "url": "https://www.sec.gov/Archives/edgar/data/...", "scrapedAt": "2026-06-05T12:00:00.000Z", "error": null } ``` ### โœจ Why choose this Actor | ๐Ÿ†“ | Public source, no API key required. | | ๐Ÿงน | Clean snake\_case fields ready for BI tools. | | ๐Ÿ”ข | Numeric values auto-cast for spreadsheets. | | ๐Ÿ›Ÿ | Errors surfaced as a clean record instead of crashing. | | ๐Ÿ’พ | Push to dataset for instant export in multiple formats. | ### ๐Ÿ“ˆ How it compares to alternatives | Approach | Setup time | Clean fields? | Numeric casting? | |---|---|---|---| | Roll your own fetch | 30 min+ | โŒ | โŒ | | Custom Python script | 1 hr+ | partial | partial | | **This Actor** | 5 sec, no install | โœ… | โœ… | ### ๐Ÿš€ How to use 1. Click **Try for free**. 2. Adjust `maxItems` if needed (defaults to 10). 3. Click **Start**. Within seconds, your dataset is ready for download or integration. ### ๐Ÿ’ผ Business use cases **๐Ÿ“Š Analytics dashboards.** Pipe results into BI tools. **๐Ÿ’ผ Backtesting.** Snapshot data daily for reproducible analysis. **๐Ÿ“ฐ Reporting.** Embed live numbers in newsletters or briefings. **๐Ÿค– ML feature engineering.** Build training sets from public data. ### ๐Ÿ”Œ Automating SEC EDGAR Full-Text M\&A Filings Scraper - **Make / Zapier.** Trigger this actor on a schedule, push results to Airtable, Google Sheets, or Slack. - **Cron schedule.** Native Apify scheduler. - **Webhooks.** POST to your endpoint when a run finishes. - **Pipe to BigQuery, Snowflake, Postgres.** Native Apify integrations. ### ๐ŸŒŸ Beyond business use cases **๐ŸŽ“ Education.** Use real data in finance and economics classes. **๐Ÿงช Personal research.** Track your own metrics without coding. **๐Ÿค Non-profit and open data.** Build public dashboards with current numbers. **๐Ÿงฐ Tinkering and prototyping.** Spin up a feed in seconds for new ideas. ### ๐Ÿค– Ask an AI assistant about this scraper Pop this README into ChatGPT, Claude, or any AI assistant and ask it to map your workflow to the actor inputs. ### โ“ Frequently Asked Questions **โ“ Do I need an API key?** No. EDGAR full-text search is public. **โ“ What forms can I search?** Any EDGAR form. Pass a list like 8-K,10-K,S-1 in forms. **โ“ Can I limit to a date range?** Yes via dateRange, startdt, and enddt inputs. **โ“ How fresh are results?** EDGAR indexes filings within minutes. **โ“ Will the schema change?** company, cik, formType, filingDate, and accessionNumber are stable. **โ“ Is rate limiting strict?** SEC asks for a User-Agent. This actor sets one. **โ“ Can I track an issuer?** Yes via the ciks input. **โ“ Can I schedule runs?** Yes via Apify scheduler, Make, Zapier, or cron. **โ“ What if upstream errors?** A single record with error populated is pushed. **โ“ Is this scraping or API?** API. EDGAR full-text search has a stable JSON endpoint. ### ๐Ÿ”Œ Integrate with any app Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST API or webhook endpoint. ### ๐Ÿ”— Recommended Actors | Actor | What it does | |---|---| | [ParseForge Alpha Vantage Scraper](https://apify.com/parseforge/alpha-vantage-public-scraper) | Stocks, FX, crypto, and indicators. | | [ParseForge OurAirports Scraper](https://apify.com/parseforge/ourairports-scraper) | Global airport database. | | [ParseForge NBA Stats Scraper](https://apify.com/parseforge/nba-stats-scraper) | Player and team stats from NBA.com. | | [ParseForge CurseForge Mods Scraper](https://apify.com/parseforge/curseforge-mods-scraper) | Public mod metadata from CurseForge. | > ๐Ÿ’ก **Pro Tip.** Browse the complete [ParseForge collection](https://apify.com/parseforge) for 900+ production-grade scrapers. *** **Disclaimer.** This actor scrapes only publicly available data. ParseForge is not affiliated with, endorsed by, or sponsored by any of the third-party services referenced. Users are responsible for complying with the target site terms of service and applicable law. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp). # Actor input Schema ## `q` (type: `string`): Full-text query (e.g. "merger agreement"). ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 ## `forms` (type: `string`): Comma-separated EDGAR form types (e.g. 8-K,10-K,S-1). Leave empty for all forms. ## `ciks` (type: `string`): Comma-separated SEC CIKs to restrict the search. ## `dateRange` (type: `string`): Predefined range or custom. ## `startdt` (type: `string`): YYYY-MM-DD. Used when dateRange is custom. ## `enddt` (type: `string`): YYYY-MM-DD. Used when dateRange is custom. ## Actor input object example ```json { "q": "merger agreement", "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "q": "merger agreement", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/sec-mna-edgar-fulltext-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "q": "merger agreement", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("parseforge/sec-mna-edgar-fulltext-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "q": "merger agreement", "maxItems": 10 }' | apify call parseforge/sec-mna-edgar-fulltext-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/sec-mna-edgar-fulltext-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC EDGAR Full Text M&A Filings Scraper", "description": "Run full text queries across SEC EDGAR filings for phrases such as merger agreement, then restrict by CIK list, form types like 8K or S1, and a custom date window. Returns filer, form type, filed date, accession number, and document links. Useful for M&A research.", "version": "0.1", "x-build-id": "w4hXnl870wsDxDHed" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~sec-mna-edgar-fulltext-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-sec-mna-edgar-fulltext-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~sec-mna-edgar-fulltext-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-sec-mna-edgar-fulltext-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~sec-mna-edgar-fulltext-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-sec-mna-edgar-fulltext-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "q": { "title": "Search query", "type": "string", "description": "Full-text query (e.g. \"merger agreement\")." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000" }, "forms": { "title": "Form types", "type": "string", "description": "Comma-separated EDGAR form types (e.g. 8-K,10-K,S-1). Leave empty for all forms." }, "ciks": { "title": "CIKs", "type": "string", "description": "Comma-separated SEC CIKs to restrict the search." }, "dateRange": { "title": "Date range", "enum": [ "", "custom" ], "type": "string", "description": "Predefined range or custom." }, "startdt": { "title": "Start date", "type": "string", "description": "YYYY-MM-DD. Used when dateRange is custom." }, "enddt": { "title": "End date", "type": "string", "description": "YYYY-MM-DD. Used when dateRange is custom." } } }, "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 } } } } } } } } } } ```