Agentyv1.0.3

Retail teams create Agenty agents that scrape competitor product pages on a schedule, extract pricing and availability data, and store results in Agenty lists. Jobs run automatically and results are downloaded as structured exports for daily repricing decisions.

Sales operations use Agenty to capture company websites, extract structured metadata like contact details and social profiles, and append enriched rows into centralized Agenty lists. The enriched lists feed directly into CRM imports or outreach tools via downloadable CSV exports.

Property analysts build agents that crawl listing sites, convert pages to PDFs for archive, and extract structured data like address, price, and square footage. Results are paginated through job results and downloaded as files for market analysis reports.

Marketing compliance teams capture screenshots of partner and affiliate web pages on a recurring schedule to verify brand guidelines. Redirect chains are checked with get_redirects to detect hijacked links, and all evidence is archived as downloadable screenshot files.

SEO specialists run Agenty agents against a sitemap to fetch rendered HTML, trace redirect chains, and capture page screenshots in bulk. Job logs and result rows help identify broken links, slow redirects, and content regressions across large sites.

A monthly or annual subscription gives businesses ongoing access to web scraping agents, scheduled job execution, and result storage. Tiers are typically based on the number of agents, monthly job runs, and data retention limits.

Customers purchase credits that are consumed per job execution, page scraped, or data row extracted. This model appeals to teams with spiky or project-based scraping needs who don't want a flat subscription commitment.

Companies sell cleaned, enriched, and structured datasets derived from Agenty scraping pipelines on a contract basis. Deliverables include recurring data feeds, custom dashboards, and API access to refreshed data.