sec-edgar-scraper / README.md
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---
license: cc-by-4.0
language:
- en
pretty_name: "SEC EDGAR Scraper"
size_categories:
- 1K<n<10K
tags:
- "reapx"
- "web-scraping"
- "open-data"
- "sec-edgar-scraper"
- "edgar"
- "filings"
- "financials"
- "full-text"
- "search"
configs:
- config_name: default
data_files:
- split: train
path: sec-edgar-scraper.jsonl
---
![reapX — public sources in, addressable records out](https://reapx.dev/reapx.gif)
# SEC EDGAR Scraper
Search SEC EDGAR by ticker, CIK, SIC industry code, or full-text phrase and get one structured row per filing, with company classification, period dates, direct document links and optional XBRL financials.
| | |
| --- | --- |
| Rows in this dataset | 2,691 |
| Fields | 27 |
| Collector runs behind it | 64 |
| Most recent observation | 2026-08-04 |
| Browsable presentation | [https://reapx.dev/data/sec-edgar-scraper/](https://reapx.dev/data/sec-edgar-scraper/) — 771 entity pages |
| Run the collector yourself | [https://apify.com/reapx/sec-edgar-scraper](https://apify.com/reapx/sec-edgar-scraper) |
## What this is
Every row here was returned by a real run of a public collector. Nothing is generated from a
template over a keyword list: a row exists because a run observed it.
A browsable presentation of the subset that carries an addressable `cik` is published as
771 entity pages at [https://reapx.dev/data/sec-edgar-scraper/](https://reapx.dev/data/sec-edgar-scraper/), one page per entity. **This dataset is
the larger of the two** — rows whose payload has no field that can address a page are here and
are not published there.
## Provenance
Each row carries `_run_id` and `_dataset_id`, naming the collector run that produced it, so any
row can be traced back to the run that observed it. Rows observed by more than one run are
deduplicated on content; 0 duplicate observations were collapsed.
## Files
- `sec-edgar-scraper.jsonl` — one JSON object per row, the canonical form
- `sec-edgar-scraper.csv` — the same rows flattened; nested values are JSON-encoded within their cell
so they round-trip
- `dataset.json` — schema.org `Dataset` metadata
## Loading it
```python
from datasets import load_dataset
ds = load_dataset("reapxdev/sec-edgar-scraper", split="train")
```
## A sample of the published entities
- [ABBOTT LABORATORIES](https://reapx.dev/data/sec-edgar-scraper/0000001800/)
- [V F CORP](https://reapx.dev/data/sec-edgar-scraper/0000103379/)
- [ORRSTOWN FINANCIAL SERVICES INC](https://reapx.dev/data/sec-edgar-scraper/0000826154/)
- [FORRESTER RESEARCH, INC.](https://reapx.dev/data/sec-edgar-scraper/0001023313/)
- [ANGIODYNAMICS INC](https://reapx.dev/data/sec-edgar-scraper/0001275187/)
- [Aura Minerals Inc.](https://reapx.dev/data/sec-edgar-scraper/0001468642/)
- [AVANOS MEDICAL, INC.](https://reapx.dev/data/sec-edgar-scraper/0001606498/)
- [Compass Therapeutics, Inc.](https://reapx.dev/data/sec-edgar-scraper/0001738021/)
- [Altus Power, Inc.](https://reapx.dev/data/sec-edgar-scraper/0001828723/)
- [IPC Alternative Real Estate Income Trust, Inc.](https://reapx.dev/data/sec-edgar-scraper/0001959961/)
- [Westin Acquisition Corp](https://reapx.dev/data/sec-edgar-scraper/0002076192/)
- [ARROW FINANCIAL CORP](https://reapx.dev/data/sec-edgar-scraper/arow/)
## Related
- All sources: <https://reapx.dev/data/> · machine-readable index: <https://reapx.dev/llms.txt>
- The collector is a public Apify Actor; agents reach it through <https://mcp.apify.com>
## Licence
Collected from public sources. This metadata and the published pages are
[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/); the underlying records remain under
the terms of their originating source.