Competitor pricing snapshot
Scrape competitors' pricing and plan pages and extract plans, prices and limits into one dated table.
- Bring
- Pricing page URLs and the fields to compare.
- Get
- One row per plan, with the source URL and read date.
Turn public web pages into clean data. Describe what you need in a sentence: the AI web scraper searches for the right pages, scrapes them, and extracts the fields you name into Markdown or JSON, with the source URL kept next to every row.
Built for the people who need the data, not the scraper
What do our three main competitors charge today, and what does each plan include?
You paste the pricing page URLs and name the fields. The web scraper reads each page and returns one row per plan. Names and figures below are invented.
| Plan | Price | Main limit | Source |
|---|---|---|---|
| Competitor A · Starter | $29 / month | 3 seats | competitor-a.example/pricing |
| Competitor A · Team | $99 / month | 10 seats | competitor-a.example/pricing |
| Competitor B · Pro | Contact sales | Not stated on page | competitor-b.example/plans |
| Competitor C · Basic | $19 / month | 1,000 records | competitor-c.example/pricing |
When a page does not state a value, the row says so instead of guessing. Every row links back to the page it came from, so you can check it in one click.
Your output: a pricing table with a source link per row, ready for Google Sheets.
Pick the kind of web data extraction you need: one known page, a set of pages you still have to find, or a list of named fields pulled into JSON. See which tool handles each step, then take the starting prompt into SpringBrand.
2 tools selectedExample stack. Your agent checks which operations are available, and asks for any account access, before it runs.
Most web scraping tools ask you to set up the scraper before you see any data. With an AI web scraper, the setup is the description of the data itself, and the source links come back with the result.
Working across separate toolsWorking across separate tools: Install a browser extension and click page elements to train it
With SpringBrandWith SpringBrand: Describe the fields you want in a sentence.
Working across separate toolsWorking across separate tools: Write or fix CSS selectors when a page changes
With SpringBrandWith SpringBrand: Rerun the same description; there are no selectors to maintain.
Working across separate toolsWorking across separate tools: Sign up separately for a search API, a scraping API and an extraction tool
With SpringBrandWith SpringBrand: Search, scrape and extract through one SpringBrand connection.
Working across separate toolsWorking across separate tools: Export a CSV and lose track of where each value came from
With SpringBrandWith SpringBrand: Ask for the source URL on every row before the data goes anywhere.
Working across separate toolsWorking across separate tools: Pay a monthly scraper plan whether you run it or not
With SpringBrandWith SpringBrand: Start free; each run spends credits from one balance.
Start with the question, not the tool. Name the pages if you have them, or the topic if you don't, and list the fields you want back. A good request also says how many rows you expect and what should happen when a value is missing. This is what makes it a no code web scraper: the description replaces the setup.
Paste URLs, or describe what the pages should be about.
Your column names, e.g. plan, price, limit.
How many pages, which to skip, how to mark gaps.
Firecrawl turns a page into clean Markdown, runs a search and scrapes the pages that match, or extracts the fields you named into JSON. Google Search and Exa help find pages when you only have a topic. Apify can collect information across relevant pages when a wider scan of a site is needed. Google Maps covers local businesses by place and category.
Pick tools for your taskRun your web data extraction in the SpringBrand app, or connect SpringBrand to Claude Code, Codex or Cursor through the MCP server and ask from there. The installation guide covers each client, including the sign-in step.
Read the installation guide
Claude Code
Codex
CursorOpen a few source links and compare them with the extracted rows before you rely on the table. Then move the reviewed data to Google Sheets or Notion once that account is connected. Nothing is published or sent anywhere without a separate step you approve.
Rows with a source URL each
Open 3–5 sources, compare values
Send the reviewed table to a sheet
Four common jobs for an AI web scraper. Each one lists what to bring and what you get back, with a link to where the work continues.
Scrape competitors' pricing and plan pages and extract plans, prices and limits into one dated table.
Find local businesses by place and category, then read their websites for a reason each one fits.
Search a topic, scrape the pages that rank or get cited, and extract the claims and gaps worth covering.
Start from a list of companies and scrape their public pages to add the context a rep needs before reaching out.
A web scraper is only useful if you can trust the rows. Keep the scope to public pages, keep the source on every row, and read a sample before the data moves on.
Scrape pages anyone can open. Pages behind your login, and sites whose terms forbid it, are out of scope.
Ask for the page URL and read date next to each extracted value, so anyone can trace it back.
Open a few sources and compare them with the table before it goes into a report, a CRM or a sheet.
What it can read, what it returns, what it cannot do, and what it costs.
View plans and pricingAn AI web scraper extracts data from websites based on a plain-language description instead of hand-built rules. You say which pages or topic and which fields you want; the tool reads the pages and returns structured data. With SpringBrand, the scraping and extraction run on Firecrawl, and search tools find pages when you only have a topic.
No. You describe the pages and the fields in a sentence, in SpringBrand or in the agent you already use. There is no element picking and no selector to maintain, which is what most people mean by a no code web scraper. If you are a developer looking for a web scraping API, see the API question below.
Public pages that anyone can open without signing in. Pages behind your own login are out of scope, and you should not scrape sites whose terms of use forbid it. Results depend on each page, so read a sample of the output before relying on it.
This page covers scraping single pages, searching and then scraping the matching pages, and extracting named fields. When a broader scan across a site is needed, Apify can collect information across the relevant pages; ask your agent to check what is available for your site and what it costs before it runs.
Firecrawl returns a page as clean Markdown, or the fields you named as structured JSON. You can then move reviewed rows into Google Sheets or Notion once you connect that account.
An extension scrapes the page open in your browser, usually by clicking elements to train it. Here you describe the data, the pages can be found for you by search, several pages are handled in one request, and each row keeps its source link. The trade-off: you sign up first, and runs spend credits.
That is who this page is for: growth, sales ops, marketing ops and research teams who need a table, not a scraper project. You bring the question and the column names; the result is a reviewed table you can hand to the rest of the team.
It depends on the data, the site's terms and where you are; this page is not legal advice. Keep to public pages, respect each site's terms, avoid collecting personal data you have no reason to hold, and ask your legal team when in doubt.
You can start on the Free plan, which includes monthly credits and needs no credit card. Each run spends credits from one balance, and the amount depends on the tools and how many pages a task reads. Paid plans and credit top-ups are listed on the pricing page.
See plans and creditsRuns start when you ask for them. This page does not promise scheduled scrapes or change alerts. If you need a recurring snapshot, keep the trigger in a tool you already use and have it call SpringBrand for the scraping pass.
Today the documented way to call these tools from software is an AI agent connected through the SpringBrand MCP server, which signs in once and calls Firecrawl and the other providers on your behalf. Direct HTTP access is not documented yet; the API platform page explains the current options and how to ask for it.
See the API platformFor local businesses, use Google Maps data instead of scraping pages: it finds businesses by place and category, and public reviews can be added. The Google Maps leads page walks through building a local shortlist.
Google Maps leadsBuild a local business shortlist by place and category, with a reason each one fits.
Use scraped pages for keyword gaps, competitor reviews and content refresh briefs.
Add sourced context to a target account list before outreach.
See the data providers SpringBrand routes, including Firecrawl and Apify.
Start on the Free plan. No credit card required.