All Over Tools logo
Tool Combiner
Analyze Tools Clean Tools Compare Tools Convert Tools Data Validation Extract Tools Format Tools Generate Tools Organize Tools Transform Tools
Image Tools Video Tools Audio Tools Subtitle Tools Font Tools
Analyze Tools Clean Tools Compress Tools Convert Tools Edit Tools Extract Tools Generate Tools Merge Tools Organize Tools Redact Tools Repair Tools Split Tools
Analyze Tools Clean Tools Compare Tools Convert Tools Extract Tools Generate Tools Merge Tools Transform Tools Validate Tools
Business Calculators Construction Calculators Date And Time Calculators Education Calculators Financial Calculators Food Calculators Health Calculators Math Calculators Science Calculators Sports Calculators Statistics Calculators
Blog About Us Contact Us

Extract Tools

Choose an extraction or parser tool by matching your input: query JSON or XML, inspect HTML tables or JSON-LD, or parse logfmt, User-Agent, and .env text.

ESC

Env Variable Extractor

Parse pasted or uploaded .env files into a source-faithful key-value table - preserving line numbers, comments, blank lines, export prefixes, duplicate keys, and quoting - with secret masking and CSV/JSON export.

.env
DATABASE_URL="postgres://..."
API_KEY=abc123
DATABASE_URL
API_KEY
key/value table

HTML Table Extractor

Detect every table in pasted HTML, an uploaded HTML file, or a public URL, resolve rowspan/colspan into a rectangular dataset, and export each table as CSV, JSON, or XLSX.

<table>
<tr><td>West</td><td>120</td></tr>
</table>
Region | Revenue
West | 120
CSV / JSON / XLSX

JSON-LD Extractor

Pull every <script type="application/ld+json"> block out of pasted HTML, an uploaded HTML file, or a public HTTPS URL, and inspect each block's @context, @type, and @graph entities.

<script type="application/ld+json">
{"@type":"Product"}
</script>
@context: schema.org
@type: Product
JSON-LD block

JSONPath Extractor

Query a JSON document with JSONPath - dot/bracket notation, wildcards, recursive descent, slices, unions, and filter expressions - and export matches as JSON, JSONL, CSV, or plain text.

{"store":{"book":[{"title":"Dune"}]}}
$.store.book[*].title
match: "Dune"
path: $.store.book[0].title
type: string

Logfmt Parser

Parse Logfmt or Heroku-style key=value log lines into structured records - preserving original lines and field order, keeping repeated keys, and flagging malformed segments - with CSV/JSON/JSONL export.

at=info method=GET status=200
method: GET
status: 200
structured record

User-Agent Parser

Parse User-Agent strings into browser, rendering engine, operating system, device type, model, and bot/crawler classification - single or bulk, with unknown tokens surfaced and structured export.

Mozilla/5.0 ... Chrome/126
browser: Chrome 126
OS: Windows
device: desktop

XML XPath Extractor

Run XPath expressions against an XML document with a namespace-prefix mapping editor, path suggestions from the tree, and exact locations for retained matches - export as XML, JSON, CSV, or plain text.

<root><item>Alice</item></root>
//item
match: Alice
path: /root/item
type: element

Choose an extraction tool by input

These tools cover different kinds of source data rather than one universal extraction format. Match the page to the input you need to inspect: use the environment variable extractor for .env data, the HTML table extractor for tables embedded in HTML, and the JSON-LD extractor for <script type="application/ld+json"> blocks.

For structured documents, choose the JSONPath extractor for JSON queries or the XML XPath extractor for XPath queries against XML. The remaining choices handle operational text: the logfmt parser reads logfmt-style records, while the User-Agent parser reads User-Agent strings.

Match the tool to the structure you need to query

JSONPath and XML XPath solve similar selection problems for different document models. Open the JSONPath extractor when the source is JSON; use the XML XPath extractor when the source is XML and the query needs XPath.

The HTML table extractor is a separate workflow for finding tables in HTML and turning selected table data into a structured result. The JSON-LD extractor is narrower still: it targets JSON-LD script blocks in HTML, not arbitrary JSONPath navigation. Choose it when you need to inspect embedded structured-data blocks.

Parse operational text when the input is not a document

Use the logfmt parser for logfmt or Heroku-style key-value log lines. It is the relevant choice when each record is operational text rather than a JSON or XML document.

For request metadata, send one or more User-Agent strings to the User-Agent parser. For configuration text, use the environment variable extractor to inspect dotenv-style entries. These inputs should not be substituted for one another: a parser designed for one text structure does not make the other structures interchangeable.

A practical extraction workflow

  1. Identify the source structure: HTML table, JSON, JSON-LD embedded in HTML, XML, logfmt, User-Agent text, or environment-file text.
  2. Open the matching child tool from the extraction tools directory.
  3. Supply the input in the way that tool provides, then follow its visible controls for querying, parsing, selecting, or inspecting the result.
  4. Review the returned values against the source before using them elsewhere. Specialized tools expose different controls and outputs, so the individual page is the authority for exact behavior.

Review the result against the source

Extraction and parsing depend on the structure of the input and the tool you selected. Check that the source matches the intended child page, that any query or selection reflects the data you want, and that the returned values make sense alongside the original text or markup. If the input is not one of these seven supported task types, return to the directory and choose a tool designed for its actual structure.