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Connect Text parser integrations

Isolate specific data points from raw text or HTML files by automating Text parser on Make. Run custom regular expressions to extract variables, filter out noise, or scrape target web links. Routing this structured output through our workflow automation tool keeps your databases updated. Claim your free account today to start sanitizing raw datasets.

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Build your Text parser integrations.

Maximize efficiency by automating data extraction. Connect Text parser with your business systems using Make to build custom, code-free workflows. Try Make now to integrate Text parser and work smarter.

Text parser
Get content from HTML table

Searches HTML table and returns array of rows and columns

Transformer
Text parser
Get content from HTML table (Deprecated)

Searches HTML table and returns array of rows and columns

Transformer
Text parser
Get elements from HTML

Searches HTML and returns specified elements, e.g. images.

Transformer
Text parser
HTML to text

Converts HTML to formatted text.

Transformer
Text parser
Match elements

Searches string elements matching predefined patterns.

Transformer
Text parser
Match pattern

Finds string elements matching a fixed pattern (regular expression).

Transformer
Text parser
Match pattern (Advanced)

Finds string elements matching a mappable pattern (regular expression).

Transformer
Text parser
Replace

Searches a string for a specified value, or a regular expression, and returns a new string where the specified values are replaced.

Transformer

Connect any app with Text parser

Popular Text parser workflows.

Automate data extraction. Connect Make's Text parser to your apps to organize information and simplify workflows.

Unlock Efficiency: Integrate and Automate Text parser with Make

Connect Text parser with Make to automatically extract, clean, and format raw web data. Stop manual copy-pasting and instantly route structured information directly into your favorite spreadsheets and apps.

Clean up scraped web data

Convert messy text and web scraping results into structured data that easily fits into your spreadsheets.

Automate content creation

Extract key details from blogs and articles to instantly feed them into AI tools for quick social media drafting.

Eliminate manual copy-pasting

Save hours of tedious work by letting the system automatically pull specific information like emails or competitor details from websites.

Standardize incoming data formats

Ensure raw data from external tools is neatly organized and formatted before it reaches your team's tracking sheets.

FAQ

Start by registering for Make. As a new Make user, you’ll automatically be assigned a free account. Once your account is set up, you can start creating your first scenarios. We recommend starting with our step-by-step video tutorial.

A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.

Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.

Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.

How it works

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