Integration · Company data

Connect Claude & ChatGPT to AI Scraper by Parsera

Ask your AI to pull prices, names or contact details from a web page, turn an article into clean markdown, or run one of your saved Parsera scrapers on a list of URLs. It can extract data you describe as attributes or a prompt, parse HTML you already have, and start longer jobs that browse several pages. It can also build a reusable scraper for a site from one example page.

Connect AI Scraper by Parsera free

Free plan, no credit card. Takes about a minute.

Try asking

“Get the product name, price and stock status from this shop page.”
The AI extracts the attributes you named from the URL and returns them as structured data.
“Turn this blog post into markdown so I can summarize it.”
It fetches the page and returns its content as clean markdown.
“Collect every job title and location from this careers site, across all pages.”
It starts a background extraction with pagination, then checks the task until the results are ready.

What your AI can do

Extract from any page

Pull structured data from a URL by attributes or a prompt, with optional proxy country, cookies and pagination, or get the page as markdown.

Longer jobs and agents

Start background extractions and agents that browse from a URL, then check their status and results or stop them.

Reusable scrapers

Build a scraper from an example page, list your saved scrapers, run them on many URLs and browse the ready-made public scraper APIs.

“Build a scraper for this listings site that pulls title, price and address.”
It has Parsera build a reusable scraper from the example URL and your description, saved in your account.
“Run my saved property scraper on these 20 URLs.”
It finds the scraper in your account and starts a run on the URLs, then reads the results.
“Extract the company names and emails from this HTML I pasted.”
It parses the content you gave it and returns the attributes as structured data, without fetching any page.

16 tools for AI Scraper by Parsera

These tools are switched on when you connect. You can switch any of them off, or require your approval before it runs.

extract_from_urlChanges dataExtract structured data from a web page: give the `url` and the `attributes` to pull out (names with descriptions), or a `prompt`. Optional `proxy_country`, `cookies`, `enable_pagination` and `max_pages`.
generate_scraperChanges dataHave AI build a reusable scraper for a site: give an example `url` and a `prompt` describing the data, optionally `attributes`.
get_agent_extractGet the status and results of an agent extraction by `task_id`.
get_extract_jobGet the status and results of a background extraction by `task_id`.
get_page_markdownChanges dataFetch a web page by `url` and return its content as clean markdown. Optional `proxy_country` and `cookies`.
get_scraper_apiGet one public scraper API by `scraper_api_slug`, including what it extracts.
get_scraper_runGet the status and results of a background scraper run by `run_id`.
list_proxy_countriesList the countries available for `proxy_country` when scraping.
list_scraper_apisList the ready-made public scraper APIs you can use or copy.
list_scrapersList the scrapers saved in your Parsera account, with their IDs.
parse_contentChanges dataExtract structured data from text or HTML you already have: pass it as `content` with the `attributes` to pull out, or a `prompt`.
run_scraperChanges dataRun a saved scraper by `template_id` on one or more `url` values, optionally with `parameters` and `proxy_country`. Returns the extracted data.
start_agent_extractChanges dataStart an AI agent that browses from `url` and collects data described in `prompt` (optional `attributes`). Returns a task ID to check with get_agent_extract.
start_extract_jobChanges dataStart a background extraction of a page (`url` plus `attributes`) for long or multi-page jobs. Returns a task ID to check with get_extract_job.
start_scraper_runChanges dataStart a saved scraper by `template_id` in the background for many pages. Returns a run ID to check with get_scraper_run.
stop_agent_extractChanges dataStop a running agent extraction by `task_id`.

Set up in three steps

1
Pick the app
Create a free PipMCP account and choose AI Scraper by Parsera from the app list.
2
Paste your key
Paste your Parsera API key. Sign in to Parsera at parsera.org and copy your API key from your account.
3
Add the link to your AI
You get a personal MCP link. Add it to Claude, ChatGPT or Cursor:
1. Click your name, then Settings › Connectors › Add custom connector.
2. Paste your link as the Remote MCP server URL.
3. Switch it on from the + menu in a chat.

Questions

What can the AI do in AI Scraper by Parsera?

The AI can extract structured data from web pages or from content you give it, fetch pages as markdown, start background extractions and agents and read their results. It can build reusable scrapers, list and run your saved scrapers, list the public scraper APIs and list the countries available for proxies.

Does the AI see my Parsera credentials?

No. Your Parsera API key is encrypted at rest and never shown to the AI. After you save it, it is not shown again, not even to you. The AI only sees the results of the tools it calls.

Can I control what the AI is allowed to do?

Yes. You choose which tools are switched on, for example single-page extraction without background jobs or agents. Tools that start jobs or build scrapers can require your approval before they run. Every tool call is logged.

Does it work with ChatGPT?

Yes. In ChatGPT go to Settings › Apps & Connectors › Advanced and turn on Developer mode, then add your PipMCP link. Developer mode needs a paid ChatGPT plan: Plus, Pro, Business or Enterprise. The same link also works in Claude (Settings › Connectors › Add custom connector), Cursor and other MCP clients.

What does it cost?

PipMCP has a free plan with no credit card required. Paid plans bill per completed task. You also need your own Parsera account, and any Parsera usage is between you and Parsera.

When should I use a saved scraper instead of a one-off extraction?

A one-off extraction is good for a single page or a quick question. If you pull the same kind of data from the same site again and again, have the AI build a scraper once from an example page. After that it can run the saved scraper on many URLs, in the background if the list is long.