# SEC EDGAR Company Filings, 10-K, 10-Q & Financials Scraper (`trusted_tech_spot/sec-edgar-company-filings-financials-scraper`) Actor Scrape official SEC EDGAR company filings (10-K, 10-Q, 8-K, Form 4, 13F). Extract executive transactions, quarterly financials, insider trades, and CIK records. - **URL**: https://apify.com/trusted_tech_spot/sec-edgar-company-filings-financials-scraper.md - **Developed by:** [David Sandor](https://apify.com/trusted_tech_spot) (community) - **Categories:** Business, Developer tools, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## SEC EDGAR Company Filings, 10-K, 10-Q & Financials Scraper ๐Ÿš€ [![Apify Actor](https://img.shields.io/badge/Apify-Actor-orange.svg?style=flat-square)](https://apify.com/trusted_tech_spot/sec-edgar-company-filings-financials-scraper) [![Pay Per Event](https://img.shields.io/badge/Pricing-Pay%20Per%20Result%20\($0.002\)-green.svg?style=flat-square)](https://apify.com/trusted_tech_spot/sec-edgar-company-filings-financials-scraper) [![Zero Maintenance](https://img.shields.io/badge/Maintenance-Zero%20Maintenance-blue.svg?style=flat-square)](https://apify.com/trusted_tech_spot/sec-edgar-company-filings-financials-scraper) [![RAG Ready](https://img.shields.io/badge/AI%20%2F%20RAG-Token%20Chunking%20Included-purple.svg?style=flat-square)](https://apify.com/trusted_tech_spot/sec-edgar-company-filings-financials-scraper) [![v3.0 Enriched](https://img.shields.io/badge/Data%20Enrichment-v3.0%20Enterprise%20\(20%2B%20Fields\)-success.svg?style=flat-square)](https://apify.com/trusted_tech_spot) Extract official SEC EDGAR company filings (**10-K** Annual Reports, **10-Q** Quarterlies, **8-K** Material Events, **Form 4** Insider Trades, **13F** Institutional Holdings, **S-1** IPO Filings) in real time with automatic CIK resolution, direct SEC document archive URLs, and AI-ready vector embeddings. > โšก **Instant Data Scraper Guarantee (No Setup Required)**: > > - ๐ŸŸข **Zero-Config**: No SEC EDGAR API registration, developer tokens, or proxies needed. > - ๐Ÿš€ **1-Click Free Test**: Just click the green **"Save & Start"** button with the pre-filled inputs to test live SEC data extraction in < 2 seconds. > - ๐Ÿข **Universal Coverage**: Supports 10,000+ US public equities (AAPL, NVDA, MSFT, TSLA, AMZN, etc.) and direct 10-digit CIK lookups. > - ๐Ÿ“Š **Instant Export**: Download verified corporate filings and financial reports directly to Excel, CSV, or JSON. > - ๐Ÿง  **AI & RAG Ready**: Pre-computed OpenAI token counts and semantic vector chunks for LangChain, LlamaIndex, and financial LLM pipelines.
View Input Tab    Run Actor Free

โšก 1-Click Instant Run โ€ข ๐Ÿ’ฐ Pay-Per-Result ($0.002) โ€ข ๐Ÿš€ Real-time Submissions in < 2s

๐Ÿ‡บ๐Ÿ‡ธ ๅฎ˜ๆ–น SEC EDGAR ๅ…ฌๅธ่ดขๆŠฅไธŽๅ†…ๅน•ไบคๆ˜“ๆ•ฐๆฎๆๅ– โ€ข ๅ…ๆณจๅ†Œ / ๅ…ไปฃ็† / ็ง’็บงๅ“ๅบ” โ€ข ไธ€้”ฎๅฏผๅ‡บ Excel / CSV / JSON

๐Ÿ’ก Tip / ๆ็คบ: Click the "Input" tab at the top of this page (or "Try for free") to see the pre-filled 1-click form! (็‚นๅ‡ป้กต้ขไธŠๆ–น็š„ Input ๆ ‡็ญพ้กตๅณๅฏๆŸฅ็œ‹ๅทฒๅกซๅฅฝ็š„้ป˜่ฎคๅ‚ๆ•ฐๅนถไธ€้”ฎ่ฟ่กŒ)

Make.com Zapier n8n LangChain Google Sheets
*** #### โšก 1-Click API Quick-Start (cURL / Python / Dify / FastGPT / n8n) Run directly via HTTP API without opening the browser form: ##### cURL ```bash ## 1-Click cURL Instant Run (Replace YOUR_APIFY_TOKEN) curl -X POST "https://api.apify.com/v2/acts/trusted_tech_spot~sec-edgar-company-filings-financials-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "tickerOrCik": "AAPL", "formType": "10-K", "maxFilings": 5 }' ``` ##### Python ```python import requests url = "https://api.apify.com/v2/acts/trusted_tech_spot~sec-edgar-company-filings-financials-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" payload = { "tickerOrCik": "NVDA", "formType": "ALL", "maxFilings": 10 } response = requests.post(url, json=payload) data = response.json() print("Company:", data[0].get("companyName")) print("Filings:", len(data[0].get("filings", []))) ``` *** #### โšก Ready-to-Run Input Preview (Zero Configuration Required) | Parameter | Type | Default | Description | | :--- | :--- | :--- | :--- | | **Target Ticker or CIK** (`tickerOrCik`) | `string` | `"AAPL"` | Stock ticker symbol (e.g. `AAPL`, `NVDA`, `MSFT`, `TSLA`) or 10-digit CIK (`0000320193`) | | **SEC Filing Form Type** (`formType`) | `select` | `"ALL"` | Form filter: `ALL`, `10-K` (Annual), `10-Q` (Quarterly), `8-K` (Current), `4` (Insider Trades), `13F` (Holdings), `S-1` (IPO) | | **Maximum Filings** (`maxFilings`) | `integer` | `20` | Maximum number of filing records to return (1 to 100) | | **Include Keywords** (`includeKeywords`) | `string` | `""` | Comma-separated keywords to filter filenames, titles, or descriptions | | **Exclude Keywords** (`excludeKeywords`) | `string` | `""` | Comma-separated keywords to filter out | | **Enable AI / RAG Chunking** (`enableRagEnrichment`) | `boolean` | `true` | Computes token counts and splits text into semantic vector chunks | | **Enrichment Mode** (`enrichmentMode`) | `select` | `"Enriched"` | `Enriched` (20+ derived fields), `Standard`, or `Basic` | *** ### โœจ Enterprise v3.0 Data Enrichment (Included Free) Every execution is enhanced by the **v3.0 Enterprise Intelligence Engine**, delivering **20+ derived high-value fields** at zero extra charge: | Enrichment Feature | What It Delivers | How It Accelerates Financial Analysis | |:---|:---|:---| | ๐Ÿข **CIK & Entity Normalization** | Official 10-digit zero-padded CIK | Eliminates format mismatch across financial databases and Bloomberg/FactSet IDs. | | ๐Ÿ”— **Direct Document URLs** | Full HTTPS links to `.htm` / `.xml` files | 1-click access to the exact SEC archive filing without manual searching. | | ๐Ÿ“… **Filing Recency Intelligence** | `filingRecencyDays`, `isRecentFiling` | Automatically flags filings published within the last 90 days. | | ๐Ÿ›ก๏ธ **Data Quality Score (0โ€“100%)** | `_dataQualityScore: 100` | Instantly validates complete corporate profiles before ingestion into CRMs or DBs. | | ๐Ÿ”‘ **Deduplication Fingerprint** | `_deduplicationFingerprint: "sha256:..."` | Cryptographic hash for idempotent database upserts and deduplication. | | โš–๏ธ **Governance & Insider Alerts** | `hasRecentInsiderTrades`, `flags` | Fast signals for officer/director stock acquisitions and sales (Form 4). | | ๐Ÿง  **AI Vector & RAG Chunking** | `_rag: { estimatedTokens, chunksCount, chunks }` | Pre-chunked into semantic chunks ready for OpenAI, Anthropic, LangChain & Vector DBs. | *** ### ๐Ÿ“‹ Sample Output JSON ```json { "ticker": "AAPL", "cik": "0000320193", "companyName": "Apple Inc.", "sic": "3571", "sicDescription": "Electronic Computers", "entityType": "operating", "category": "Large Accelerated Filer", "fiscalYearEnd": "0926", "fiscalYearEndFormatted": "September 26", "stateOfIncorporation": "CA", "stateOfIncorporationDescription": "CA", "phone": "(408) 996-1010", "ein": "942404110", "businessAddress": { "street": "ONE APPLE PARK WAY", "city": "CUPERTINO", "state": "CA", "zipCode": "95014" }, "mailingAddress": { "street": "ONE APPLE PARK WAY", "city": "CUPERTINO", "state": "CA", "zipCode": "95014" }, "governance": { "insiderTransactionForOwnerExists": true, "insiderTransactionForIssuerExists": true, "hasRecentInsiderTrades": true, "flags": "" }, "reportingCadence": "Quarterly (10-Q) & Annual (10-K) SEC Reporting Issuer", "latestFilingDate": "2026-10-29", "latestFilingForm": "4", "totalFilingsFound": 20, "secEdgarProfileUrl": "https://www.sec.gov/edgar/browse/?CIK=0000320193", "dataSource": "SEC EDGAR Official Real-time Submissions API", "filings": [ { "accessionNumber": "0001140361-26-041201", "form": "4", "title": "Form 4 - FORM 4", "description": "FORM 4", "filingDate": "2026-10-29", "reportDate": "2026-10-27", "filingRecencyDays": 1, "isRecentFiling": true, "fileNumber": "001-36743", "filmNumber": "26138942", "size": 4822, "sizeFormatted": "4.71 KB", "isXBRL": false, "isInlineXBRL": false, "primaryDocument": "xslF345X06/form4.xml", "primaryDocDescription": "FORM 4", "documentUrl": "https://www.sec.gov/Archives/edgar/data/320193/000114036126041201/xslF345X06/form4.xml", "filingIndexUrl": "https://www.sec.gov/Archives/edgar/data/320193/000114036126041201/0001140361-26-041201-index.htm", "interactiveDataUrl": "https://www.sec.gov/edgar/browse/?CIK=0000320193", "_dataQualityScore": 100, "_deduplicationFingerprint": "sha256:d8c0b1e..." } ], "_rag": { "estimatedTokens": 1420, "wordsCount": 1150, "readingTimeMinutes": 5.75, "chunksCount": 6, "ingestionReady": true, "embeddingsCompatibility": [ "openai-text-embedding-3-small", "text-embedding-ada-002", "bge-m3" ] } } ``` *** ### ๐ŸŽฏ Common Financial & AI Use Cases 1. **Hedge Funds & Equity Research**: Automate monitoring of quarterly financial reports (`10-Q`), annual statements (`10-K`), and market-moving material disclosures (`8-K`). 2. **Executive & Insider Trade Tracking**: Stream `Form 4` insider filings to detect when CEOs, CFOs, or board members purchase or liquidate company shares. 3. **Financial LLMs & Vector Ingestion**: Feed pre-chunked SEC filings directly into vector databases (Pinecone, ChromaDB, Qdrant, Weaviate) for financial RAG questions like *"What were Apple's risk factors in the latest 10-K?"*. 4. **Corporate Due Diligence & M\&A**: Verify legal company name, CIK, EIN, State of Incorporation, and historical filing cadence for any US corporation. *** ### ๐Ÿ”„ Automated Workflows (n8n / Make / Zapier) #### n8n Community Node Trigger this Actor on a daily cron schedule to monitor your watchlist companies and send Slack/Discord alerts when new 10-K or 8-K filings occur. ```json { "nodes": [ { "parameters": { "rule": { "interval": [{ "field": "hours", "hoursInterval": 4 }] } }, "name": "Cron Trigger", "type": "n8n-nodes-base.cron" }, { "parameters": { "url": "https://api.apify.com/v2/acts/trusted_tech_spot~sec-edgar-company-filings-financials-scraper/runs", "method": "POST", "headerParametersUi": { "parameter": [ { "name": "Authorization", "value": "Bearer YOUR_APIFY_TOKEN" }, { "name": "Content-Type", "value": "application/json" } ] }, "jsonParameters": true, "body": "{\"tickerOrCik\": \"NVDA\", \"formType\": \"8-K\", \"maxFilings\": 5}" }, "name": "Scrape SEC Filings", "type": "n8n-nodes-base.httpRequest" } ] } ``` *** ### ๐Ÿ›ก๏ธ Resilient Architecture & 100% Uptime Guarantee This Actor communicates directly with the US Securities and Exchange Commission's modern REST API endpoints. It features: - **Intelligent Ticker Resolution**: Supports direct stock tickers (`AAPL`, `NVDA`, `TSLA`) with local sub-millisecond mapping and dynamic SEC directory lookups. - **Defensive Historical Fallback**: If SEC servers experience temporary rate-limiting, the Actor automatically responds with verified historical filing structures, ensuring your automated workflows never break or fail. - **Pay-Per-Result Pricing**: At **$0.002 per successful result**, pay strictly for extracted intelligence with zero server maintenance overhead. *** ### ๐Ÿ’ฌ Support & Custom Integrations - **Apify Developer**: Trusted Tech Spot - **Technical Support**: contact@trustedtechspot.com - **Custom Scraping & Financial AI Pipeline Demands**: Open an issue or reach out via email for dedicated enterprise endpoints. # Actor input Schema ## `tickerOrCik` (type: `string`): Enter US public company stock ticker (e.g. AAPL, NVDA, MSFT, TSLA, AMZN) or 10-digit CIK number (e.g. 0000320193) ## `formType` (type: `string`): Select SEC filing type (e.g. ALL, 10-K Annual Reports, 10-Q Quarterlies, 8-K Current Events, Form 4 Insider Trades, 13F Institutional Holdings, S-1 IPO Filings) ## `maxFilings` (type: `integer`): Maximum number of filing records to return (1 - 100) ## `includeKeywords` (type: `string`): Filter results to only include filings containing these comma-separated keywords ## `excludeKeywords` (type: `string`): Filter out filings containing these comma-separated keywords ## `enableRagEnrichment` (type: `boolean`): Automatically compute OpenAI token counts and generate semantic vector chunks for RAG pipelines ## `enrichmentMode` (type: `string`): Choose enrichment depth: 'Enriched' adds 20+ derived fields (quality score, deduplication fingerprint, sentiment analysis), 'Standard' includes clean core fields, 'Basic' is raw extract. ## Actor input object example ```json { "tickerOrCik": "AAPL", "formType": "ALL", "maxFilings": 20, "includeKeywords": "", "excludeKeywords": "", "enableRagEnrichment": true, "enrichmentMode": "Enriched" } ``` # Actor output Schema ## `dataset` (type: `string`): Structured SEC EDGAR filings, company profile, and quarterly/annual reporting data # 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 = { "tickerOrCik": "AAPL", "formType": "ALL", "maxFilings": 20, "includeKeywords": "", "excludeKeywords": "", "enableRagEnrichment": true, "enrichmentMode": "Enriched" }; // Run the Actor and wait for it to finish const run = await client.actor("trusted_tech_spot/sec-edgar-company-filings-financials-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 = { "tickerOrCik": "AAPL", "formType": "ALL", "maxFilings": 20, "includeKeywords": "", "excludeKeywords": "", "enableRagEnrichment": True, "enrichmentMode": "Enriched", } # Run the Actor and wait for it to finish run = client.actor("trusted_tech_spot/sec-edgar-company-filings-financials-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).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 '{ "tickerOrCik": "AAPL", "formType": "ALL", "maxFilings": 20, "includeKeywords": "", "excludeKeywords": "", "enableRagEnrichment": true, "enrichmentMode": "Enriched" }' | apify call trusted_tech_spot/sec-edgar-company-filings-financials-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,trusted_tech_spot/sec-edgar-company-filings-financials-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/AqQ8O896GJJ9YGl2k/builds/zWp3wkSOTdngNyX7y/openapi.json