- BATCHES
- STRUCTURED
- HUMAN
- ANALYSIS
Short answer
How can I scrape large amounts of data using my AI?
You tell your AI to create a batch of URLs via Olostep. The AI then manages the scraping jobs and pulls the structured results directly into your chat for analysis. You get organized data without manual clicking or copy-pasting.
The results.
Where your data lands.
The scraping process moves from raw URLs to structured datasets.
BATCHES
Active scraping jobs
The AI tracks every URL you want to scrape. You can see which jobs are running or finished.
STRUCTURED
Cleaned data sets
Once a job finishes, the AI pulls the specific fields you asked for. You get clean text or numbers ready for your next task.
HUMAN
Manual review needed
If a site blocks the scraper or the layout changes, the AI flags the error. You decide how to handle those specific failures.
ANALYSIS
Ready for insight
The extracted data lives in your chat context. You can immediately ask your AI to summarize, compare, or graph the results.
The workflow
What your AI does when the request arrives.
The AI handles the heavy lifting of managing multiple web requests at once.
Initialize the job
Your AI takes your list of target URLs and bundles them into a single processing unit.
create_batchMonitor progress
The AI checks on the status of the scraping jobs to see which URLs are done and which are still pending.
list_batchesRetrieve results
Once the scraping is complete, the AI pulls the specific data points from the finished batch.
get_batchProcess data
The AI takes the raw scraped content and formats it into the structure you requested.
get_batch
Try it
Copy these to start.
Use these prompts to kick off your first scraping job.
Starting points
These are starting points. Swap out the bracketed text with your actual URLs or specific data fields.
Olostep Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_seIYmeX5wOsif72vmko8hRP1y8NfQ4pfMrD0gu0x/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Olostep capabilities are ready to use.
{
"mcpServers": {
"olostep-mcp": {
"url": "https://edge.vinkius.com/vk_preview_seIYmeX5wOsif72vmko8hRP1y8NfQ4pfMrD0gu0x/mcp"
}
}
}Create a new batch for these URLs: [paste URLs here] and extract the product prices.
Check the status of my current scraping jobs using list_batches.
Get the results from the last completed batch and summarize the findings.
Run a scrape on [URL] and pull all the technical specifications into a table.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Olostep once, then ask.
Just click the link to connect. Your credentials stay encrypted, and you can start scraping immediately through your preferred AI client.
Connect Olostep to your AIFAQ
How this task behaves.
- 01
Can the AI scrape websites that require a login?
No. The current tools only support scraping publicly accessible URLs.
- 02
Will the AI delete any of my existing data?
No. The tools are read-only for existing data; they only create and retrieve new batches.
- 03
Can I stop a scraping job halfway through?
The current tools allow you to list and get batch data, but they do not include a tool to cancel an active batch.
- 04
How does the AI know which data to pull?
You tell the AI what you want in your prompt, and it uses the scraped content to find those specific details.
- 05
Can the AI save the data directly to a Google Sheet?
No. The AI can extract the data, but you must tell it to format the output so you can copy it into a sheet yourself.
More questions about Olostep? The Connector page answers them. See everything the Olostep Connector can do
Connect Olostep to Claude, Cursor, ChatGPT & more
