Data & Analytics · Scrapfly + Claude
Scrapfly MCP with Claude: Extract Web Data Without Writing Scrapers
The short answer
Claude works with Scrapfly through the Model Context Protocol (MCP), a secure standard that lets Claude use Scrapfly's web scraping tools. Claude can request pages, render JavaScript-heavy sites, and return structured data, using an API key that your organisation controls and limits.
What is Scrapfly?
Scrapfly is a web scraping API that extracts data from websites. It is built for developers who need to read information from difficult sites, including pages that load content with JavaScript and sites that use anti-bot protection. Teams use it to collect product details, pricing, listings, news, and public research data that is not available through a simple download.
How Claude connects to Scrapfly through MCP
The Model Context Protocol is an open standard that lets Claude securely use other software. Think of it as a universal adapter between Claude and a tool. Once a connection is set up, Claude can ask the tool for information or ask it to carry out a task, using only the permissions you allow.
Once connected to Scrapfly, Claude can typically request a web page, ask for it to be rendered as a full browser would show it, and return the content as structured data such as a table or a list of fields. A team member can describe the data they need in plain English, and Claude handles the scraping requests behind the scenes.
Permissions and approvals keep people in charge. Access is granted with an API key scoped to the work at hand, and the key can be rotated or revoked at any time. Consequential actions can be routed for human review, and usage is logged so that the team can see what was requested and when.
What you can automate
Competitor price monitoring
A retail pricing team asks Claude to check a list of competitor product pages each morning. Claude retrieves the pages through Scrapfly, extracts prices and stock status, and places the results in a summary. The team reviews changes above an agreed threshold before adjusting their own prices.
Lead research for sales teams
A sales development team gives Claude a list of target companies. Claude gathers publicly available details such as location, product lines and recent announcements from company websites. The output is a clean, structured sheet that the sales team can review before adding records to the CRM.
Market and news tracking
A strategy analyst asks Claude to collect headlines and articles from selected industry sites each week. Claude extracts titles, dates and summaries, then groups them by theme. The analyst receives a short briefing that highlights developments worth a closer look.
Supplier catalogue updates
A procurement team needs current specifications from supplier websites. Claude requests the relevant pages, renders them where content loads dynamically, and returns product codes, specifications and availability. Staff check the output before updating the purchasing system.
Real estate and listings research
An property analyst collects listings from public portals in chosen areas. Claude extracts addresses, prices, sizes and listing dates into a comparable table, helping the analyst spot trends across neighbourhoods without manual copying.
An end-to-end workflow: Weekly competitor pricing report
TriggerEvery Monday at 7:00 am, a scheduled request is sent to Claude with the list of competitor product pages.
Claude requests each product page through Scrapfly, rendering JavaScript where prices load late.
Claude extracts product name, price, currency and stock status into a structured table.
Claude compares the results with last week's figures stored in a shared Microsoft 365 spreadsheet.
Price changes above the agreed threshold are flagged and sent to the pricing manager through Microsoft Teams for approval.
Approved changes are recorded in the ERP so that the pricing team has one accurate reference.
OutcomeThe pricing team receives a reliable weekly report in place of hours of manual checking, and decisions are made on current data with a clear approval trail.
How we set it up
Free automation audit
We review your current data collection work and identify the web research that is slow, repetitive or error-prone. You receive a short written summary of the workflows worth automating, at no cost.
Secure API key connection
We set up Scrapfly access using an API key that is stored securely and scoped to the work agreed. Keys can be rotated or revoked whenever your team chooses, and we set Claude's permissions to the least access needed.
Workflow design and testing
We design the end-to-end workflow across Scrapfly and your other systems, such as Microsoft 365, your CRM or ERP. We test it against real past cases to confirm the extracted data matches what your team expects.
Launch with monitoring
We launch the workflow with usage monitoring and audit logs, so every request and result can be reviewed. Human approval steps are switched on for any action that changes business records.
Team training
We train the people who will use the workflow, and provide written guidance for handling exceptions. We stay available during the first weeks of live use to tune the process.
Who benefits
- Pricing and commercial managers
- Receive current competitor data without manual checking and act on price changes sooner.
- Sales and business development leads
- Build richer prospect lists from publicly available company information in a fraction of the time.
- Analysts and research teams
- Gather and organise web data into comparable tables, freeing time for interpretation.
- IT and data governance heads
- Keep control of API keys, permissions and audit trails for every scraping request.
Security and control
- Access uses an API key with least-privilege settings, and keys can be rotated or revoked at any time.
- Human approval is required before extracted data is used to change records in business systems.
- Audit logs record each request, the data retrieved and the user or workflow responsible.
- Scraping scope is agreed in advance, and we review sites and terms of use before collection begins.
- Personal data is minimised, and extraction is limited to the fields the business has a lawful reason to hold.
For teams in the US, UK, India and the Middle East
Organisations in the United States and the United Kingdom can run this workflow with hosting and data handling set to match their own policies and sector rules. In India, the Digital Personal Data Protection Act, 2023 applies to any personal data collected, so extraction is designed around that law. In the UAE and Saudi Arabia, local data protection laws shape how data is stored and processed, and the hosting region is chosen to meet those requirements.
Learn more about Claude and MCP
Anthropic's AI model and assistant.
Secure links between Claude and business tools.
How engineers build and change software with Claude.
Hosted agents that run multi-step work.
The open standard Claude uses to connect to tools.
Frequently asked questions
What does the Scrapfly MCP server do?
The Scrapfly MCP server acts as a secure bridge between Claude and Scrapfly's web scraping service. It lets Claude request web pages, render dynamic content, and receive extracted data in a structured form. The server only performs the tasks it has been permitted to perform, and the work is logged for review.
Is it secure to connect Scrapfly to Claude?
Security depends on how the connection is set up. We use an API key with least-privilege settings, store it securely, and limit Claude to the tasks agreed in advance. Requests are logged, and human approval can be required before any extracted data changes business records.
What can Claude do with Scrapfly once connected?
Typically, Claude can request web pages, render JavaScript-heavy sites, handle pages that use anti-bot protection, and return content as structured data. It can then summarise, compare or format that data for your team. The exact capabilities depend on the Scrapfly features your account provides.
How long does setup take?
Many organisations complete a first working workflow within a few weeks, though timing depends on the number of sources, the complexity of the target sites, and how many other systems are involved. The free automation audit gives you a clearer estimate for your situation.
Which plan or permissions are needed?
You need a Scrapfly account with API access and an API key that your organisation can manage. The plan level depends on your volume of requests and the features you require. We review your account and expected usage during the audit so you know what is needed before going ahead.