Turn lead calls into ready-to-review company research
Let a call intake kick off a quick company overview, so you have context for the next conversation without a separate research detour.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Scrape url autoparse
The zenrows scrape url autoparse tool automatically parses and extracts structured data from any given url using intelligent parsing capabilities. it eliminates the need for manual css selectors by auto-identifying relevant content on web pages, returning data such as titles, main content, meta descriptions, images, links, prices, and contact information in a structured json format.
Why this helps
Switching from a call to a browser search can interrupt follow-up while the lead's details are still fresh.
- Get an overview from the supplied company website in a structured response.
- Keep call follow-up moving while reducing manual browsing.
- Review the returned research before using it in outreach.
Setup
Build it in a few focused steps.
- 1Connect Bland AI and ZenRows to Notis once through the portal.
- 2Create an automation in the portal or tell Notis what you want in plain language.
- 3In one instruction, ask Notis to use the website supplied by a Bland AI lead-intake webhook and return the company's structured overview with ZenRows.
- 4Choose an incoming webhook trigger and a channel for run reports, then test with one real lead example.
Questions about this workflow
Does Bland AI start this directly?
Bland AI has no available integration trigger event for this workflow. An external tool or custom backend must send the lead intake to the Notis webhook.
What does ZenRows return?
The autoparse action extracts structured page information from a supplied URL. Review the result before relying on it.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Bland AI to Zenrows. A trigger fires from one place; an action lands in another.
Bland AI triggers
Zenrows actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Get ZenRows API Usage Statistics
This tool retrieves the current api usage statistics and limits for your zenrows account. it is an independent action that requires no additional parameters besides authentication. it is useful for monitoring api usage and ensuring that the account has sufficient remaining credits.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Get Concurrency Status
This tool retrieves the current concurrency status of your zenrows api usage. it reports the maximum number of concurrent requests allowed by your plan and the number of available concurrent request slots. it is useful for monitoring api usage, implementing rate limiting, debugging request issues, and capacity planning.
Get Detailed Concurrency Status
This tool provides detailed information about the current concurrency status and limits of your zenrows account by making a request to the api and analyzing the response headers. it is essential for monitoring real-time api usage, managing concurrent requests, and ensuring optimal performance within plan limits.
Get Original Status Code
This tool retrieves the original http status code returned by the target website, which is useful for debugging purposes. it returns the original status code in the response headers under 'x-zenrows-original-status'. it can also provide the full response body and error messages, helping with debugging scraping issues, verifying website responses, monitoring availability, and understanding website behavior.
Get PDF from URL
This tool generates a pdf version of the scraped content from a given url. it requires javascript rendering to be enabled and sets the response type to pdf, making it ideal for archiving web pages, creating documentation, generating reports, or saving articles for offline reading.
Get Plaintext Response
This tool extracts plain text content from a webpage using the zenrows api. by using the response type=plaintext parameter, it strips html tags and formats the content into clean, plain text. it's useful for extracting readable content for nlp, summarization, or archiving purposes.
Get Real Estate Property Data
A specialized tool for extracting structured data from real estate platforms like zillow and idealista. it leverages zenrows' real estate api to fetch comprehensive property information, including property details, location information, features, seller details, and more, in a structured format.
Get Response with Compression
A tool to fetch content from a url using the zenrows api with compression enabled to optimize bandwidth usage and improve performance. it supports gzip, deflate, and br compression encodings, handles decompression automatically, and provides compression statistics along with the decompressed content.
Connect any two apps with Notis in the middle.
Bland AI and Zenrows, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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