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About Agenty / Est. 2017
Agenty is a web data extraction and automation platform that turns websites and documents into structured, LLM-ready data for AI teams, developers, analysts, and digital businesses.
01 / Capabilities
One platform for collecting, preparing, monitoring, and moving web data—from the first URL to a production data pipeline.
Build point-and-click scraping agents or use CSS, XPath, and AI-assisted schemas through the API. Agenty handles JavaScript rendering, pagination, proxy rotation, retries, and scheduled runs so teams receive structured JSON, CSV, or spreadsheet-ready data instead of maintaining scraping infrastructure.
Turn web pages and PDFs into clean Markdown or structured records for training sets, retrieval pipelines, and AI agents. Batch processing and schema-based extraction help data and AI teams create repeatable datasets rather than one-off collections.
Automate multi-step browser work, authenticated sessions, product-feed workflows, and data delivery through APIs and integrations. Scheduled agents reduce repetitive operations while preserving job status, inputs, and outputs for review.
Monitor visual or content changes, keywords, prices, availability, and compliance signals across websites. Screenshots, reports, and email alerts give teams a dependable record of what changed and when.
02 / Comparison
Specific product and pricing distinctions—not vague claims of being “better.” Competitor pricing models are not directly equivalent, so compare them against your workload.
Basic includes 5,000 pages and up to 10 agents for $29 per month. Apify meters compute units and add-ons; Octoparse Standard starts at $83 monthly, while Browse AI uses variable credits—so page-based usage is easier to forecast when the workload is known. Source
Plans include datacenter proxies on Basic, static proxies on Professional, and residential coverage on Business and Enterprise. Apify, Bright Data, ScrapingBee, and Octoparse price proxy or usage capacity differently, making it important to compare the full cost of each workload. Source
Minimum intervals move from 15 minutes on Basic to 10 on Professional, 5 on Business, and 1 minute on Enterprise. That gives change-monitoring and time-sensitive scraping agents a clear schedule at every tier, alongside API-triggered runs. Source
Teams can create agents with a Chrome extension and point-and-click field selection, then run them manually, on a schedule, or through an API. This joins the visual workflow associated with Browse AI and Octoparse with selector-level CSS/XPath control and batch APIs in the same platform. Source
The Extract API maps a plain-English field list into structured JSON alongside CSS and XPath rules. Firecrawl focuses on LLM-ready web content and ScrapingBee on scraping APIs; our workflow combines schema-led extraction, JavaScript rendering, pagination, scheduling, and proxies. Source
03 / Customers
Agenty is built for teams whose work depends on fresh, structured information from the public web.
04 / People
Agenty began in 2017 with a practical mission: organize unstructured web data and make useful insights more accessible. The company grew from Haryana, India, around hosted agents that let technical and non-technical teams automate web data work.
Founder & CEO
Vikash founded Agenty in 2017 after working in software engineering roles across web APIs, cloud systems, and data products. He leads the company’s product and engineering direction.
LinkedIn
Head of Marketing
Priyanka leads marketing at Agenty, connecting the platform’s scraping and automation capabilities with the teams that use them. She helps translate complex web-data workflows into clear business use cases.
LinkedIn05 / Process
Start with a sample or configure an agent yourself, then move from a tested source to scheduled delivery.
Share the target sites, fields, volume, frequency, and delivery format. We offer a sample before commitment for managed scraping enquiries.
Use the Chrome extension, selectors, or an AI field schema. Business includes first-agent setup; Enterprise includes managed services for teams that want our specialists involved.
Run on demand, through the API, or as often as every 15, 10, 5, or 1 minute depending on plan. Progress and processed inputs are visible from the agent job view.
Export results or automate delivery to storage, FTP, email, and supported integrations. Our team is available by email and contact form, with contact enquiries answered within 24 hours.
06 / Reference
Agenty at a glance: company, product, pricing, customers, and market.
07 / Answers
Agenty is a SaaS platform for extracting, monitoring, and automating public web data. Our no-code AI agents and developer APIs produce structured outputs, run recurring jobs, and automate data delivery.
Yes. We convert web pages and PDFs to Markdown or extract defined fields into JSON for training data, RAG collections, and AI-agent inputs. Teams remain responsible for source permissions, privacy, licensing, and model-use compliance.
Yes. Our agents use headless-browser rendering for dynamic pages, with pagination, sessions, retries, and rotating proxies. Site-specific access and extraction success still depend on the target and its rules.
No for many workflows: the Chrome extension and point-and-click agents can define fields visually. Developers can instead use APIs, CSS selectors, XPath, and AI-assisted schemas for deeper control.
Plans start at $29 per month for 5,000 pages, with $99 Professional and $249 Business tiers plus custom Enterprise pricing. The 14-day trial includes 100 page credits; current limits are always available on the pricing page.
The published minimum schedule is 15 minutes on Basic, 10 minutes on Professional, 5 minutes on Business, and 1 minute on Enterprise. Jobs can also be started manually or through the API.
We provide documentation and support by email or contact form. Business includes setup help for the first agent, while Enterprise includes managed services; contact enquiries receive a response within 24 hours.
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