How to scrape legal and compliance data from LegalDesk using the Minexa.ai extension
Legal and compliance data scattered across dozens of pages is genuinely difficult to work with. LegalDesk publishes a wide catalogue of contract templates, agreement guides, and compliance documents, and getting that content into a structured format manually takes far longer than it should.
This walkthrough shows how to extract that data using the Minexa.ai Chrome extension in a few minutes, no code required.
Watch the full tutorial first
Outcome: a confirmed starting point on the right page
Open your browser and navigate to https://legaldesk.com/?s=contracts. This search results page lists all content LegalDesk has published around contracts and agreements.
Once the page has loaded, open the Minexa.ai extension from your Chrome toolbar and click I'm on the right page to confirm your starting point.
Outcome: pagination confirmed automatically
Minexa.ai scans the page and detects how results are paginated. You will see the pagination logic listed in the extension panel. Click Continue to accept it.
At this point you also choose whether to scrape only the list page or follow each result link and extract detail page content as well.
Outcome: data container selected and scraper created
Select the full results container on the page. Minexa.ai highlights the repeating block automatically. Click Create scraper and the extraction configuration is built for you.
After creation, all detected data points are displayed. For LegalDesk search results, these include fields like header_title, content_description, url_href, post_class, post_id, and read_more_text.
Sample extracted data
[
{
"header_title": "Manpower Supply Agreement",
"content_description": "A manpower supply agreement is a legal document signed between an organisation and a contractor...",
"url_href": "https://legaldesk.com/how-to-create-a-manpower-supply-agreement",
"post_class": "envor-post post-6982 page type-page status-publish hentry",
"post_id": "post-6982"
},
{
"header_title": "Memorandum Of Understanding (MOU)",
"content_description": "A Memorandum Of Understanding is a non-committal formal agreement executed between two or more parties...",
"url_href": "https://legaldesk.com/memorandum-of-understanding-mou",
"post_id": "post-6900"
}
]The post_class field encodes the full WordPress taxonomy string per result, which means you can filter by content type, category, or publication status programmatically without visiting each page. The post_id gives you a stable identifier per record for deduplication across runs.
Outcome: job running and data ready to export
Once the job runs, results appear in a structured table. Each row is one LegalDesk result, each column is one field. You can export directly to Excel or JSON from this screen.
You can also schedule the scraper to run on a recurring basis so your dataset stays current as LegalDesk publishes new content.
If you want to go further and collect the full text from each individual document page, the list-plus-detail option at the pagination step handles that in the same run.
Get started with Minexa.ai and have your first LegalDesk dataset exported within minutes.
For a related guide on extracting structured data without code, see: Scraping book listings for publishers: a structured guide to extracting catalogue data without code.
Comments