Create Scraper
Tool to create a new empty scraper for your account. Returns a scraper_id that can be used with the generate endpoint to generate scraping code.
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Integrate Parsera
with your AI CRM
Parsera provides AI-powered web extraction, content parsing, and reusable scraper agents through its developer API.
Explore Triggers and Actions
Delete Agent
Delete an existing legacy Parsera agent by name.
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Delete Scraper
Delete an existing scraper by ID using Parsera's legacy scraper deletion endpoint.
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Extract Data from Webpage
Tool to perform LLM-powered data extraction from a live webpage URL with specified attributes. Use when you need to extract structured data from web pages based on field descriptions.
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Extract Markdown
Extract markdown from exactly one uploaded file or webpage URL.
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Get Scraper Run Status
Return the current state and available results for a scraper run by run ID, including a synchronous run continued asynchronously.
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Health Check
Check Parsera's readiness endpoint and report healthy when it returns HTTP 200 with valid JSON.
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List Agents
List the authenticated user's agents from Parsera's legacy agent service.
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List LLM Specifications
List the LLM models Parsera supports, including their capabilities and pricing metadata.
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List Proxy Countries
List the case-sensitive proxy-country identifiers accepted by Parsera scraping tools.
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List Scrapers
List scraper IDs and names for the authenticated account, including extractor and agentic scrapers.
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Parse Content
Extract structured data from supplied HTML or text without fetching a webpage.
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Run Legacy Agent
Run a custom or pre-built agent from Parsera's legacy agent service against one webpage and return structured records. Prefix pre-built agent names with public/.
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Run Scraper Asynchronously
Queue an existing extractor or agentic scraper and return a run ID immediately for later status checks. Use PARSERA_LIST_SCRAPERS to find a template ID and PARSERA_GET_SCRAPER_RUN_STATUS to retrieve results.
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Run Scraper Synchronously
Run an existing Parsera template or legacy scraper synchronously. Returns extracted records when complete, or a run ID to poll when Parsera continues a long request asynchronously. Use PARSERA_RUN_SCRAPER_ASYNC to queue work immediately.
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How the Parsera integration works
The Parsera integration connects your Dench AI CRM directly to Parsera, so agents can read and act on your Parsera data as part of everyday work — answering questions in chat, keeping your CRM in sync, and running automations without anyone copying data between tools.
15 actions are available for agents to invoke on your behalf. Every call runs through Parsera's own authorization, scoped to the account you connect.
Set up Parsera in Dench
- 1
Sign in to your Dench workspace and open Integrations.
- 2
Find Parsera and click Connect — you'll authorize access through Parsera's own sign-in flow. No API keys or code required.
- 3
Ask an agent to use Parsera in chat, or call it from an automation.
- 4
Manage or disconnect the connection any time from workspace settings.
Frequently asked questions
How does the Parsera integration work with Dench?
The Dench Parsera integration connects your AI CRM to Parsera, so AI agents can work with your Parsera data as part of chats, automations, and CRM workflows. You connect your account once, and every agent in your workspace can use it — governed by your workspace permissions.
What actions can AI agents perform with Parsera via Dench?
The Parsera integration currently exposes 15 actions, including Create Scraper, Delete Agent, Delete Scraper, Extract Data from Webpage, Extract Markdown, and Get Scraper Run Status. Agents invoke them on your behalf from chat or from automations.
Do I need to write code to connect Parsera to Dench?
No. You connect Parsera from your Dench workspace using Parsera's own sign-in and authorization flow — no API keys to copy, no glue code to maintain.
Is the Parsera integration secure?
Connections are authorized through Parsera's own authentication flow, and Dench stores only the authorization needed to act on your behalf. You can review and disconnect the Parsera connection from your workspace settings at any time.