Crawl the web, like a database queryCrawl the web,like a database query
with ~0 inference, ~0 hallucinations,& ~5 lines of code.
+ AT SCALE +
Same data, across pages and sites.
Teach Makra a page pattern once, then use it across listing pages, detail pages, and related sites. It follows the route, combines the results, and reuses what it learned as the catalog grows.
- Pagination
Makra can follow next links, page numbers, and infinite scroll. It returns the rows from the full list in one result, without a call for every URL.
- Navigation
A listing may only show a title and a link. Makra can open the detail page for the remaining fields and add them to the same record.
+ HOW IT WORKS +
Learn once. Reuse forever.
On a new page, Makra uses AI to map the fields and saves the result. On later visits, it reads the live page through that map. The values stay current, but the inference step does not repeat.
- Cold path
Makra maps the layout of a new page and stores where each field appears. Later requests use that stored map.
- Hot path
For pages with the same layout, Makra reads current HTML through the stored map. It does not make another AI call.
+ COST TO EXTRACT +
What does it cost to turn URLs into structured data? Compare one page with a 400-page run. Makra appears beside Firecrawl and Exa, which also read a URL and return structured results.
Cost comparison: per-page for single-page extraction, total for multi-page extraction
Horizontal bar chart of approximate USD cost for Makra, Exa, and Firecrawl. Single-page figures are per page. Multi-page figures are the total for the run.
Single-page
/ pageAverage cost per page across 50 commonly used pages, processed one URL at a time.
Multi-page
totalTotal cost for 400 pages across 20 sites, including paginated listings and linked pages.
+ ASK FOR MEANING +
Name the fields. Skip the selectors.
Tell Extract or Schema what the data means. Do not write CSS selectors or DOM queries. Makra matches your request to its page map and returns JSON in the requested shape.
- Extract
Give Makra a URL and describe the records you need. It finds them on the page and returns JSON, without asking you to point at HTML.
- Schema
Give Makra a JSON Schema with field names, types, and nesting. It fills that shape from the page, including lists and nested objects.
+ RESILIENCE +
When pages change, we follow.
Before Makra uses a stored map, it compares it with the live page. If a redesign changed part of the layout, Makra relearns that part and checks the extracted values against the page.
- Algorithmic page structure verification
Makra compares the stored map with the live page tree. When nodes move or disappear, it relearns the affected part instead of the whole page.
- LLM-powered visual verification
A visual check confirms that each extracted value appears where Makra says it does. It flags missing, empty, and misplaced fields before the result is returned.
+ IN PRACTICE +
Learn a recurring page layout once. Then turn the latest public web data into structured records, evidence, and change signals whenever you need them.
Product & price monitoring
Track prices, stock, and promos across the stores you care about.
Competitive intelligence
See price, feature, and integration changes from competitors.
GTM signals
Spot hiring, funding, and buying signals before you reach out.
Talent intelligence
Track open roles, skills, pay bands, and team growth.
Supplier discovery
Find suppliers by capability, location, and certification.
Web change events
Get an alert when a price, policy, or product changes.