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Web scraping tools for marketing data you can actually use

Web scraping tools turn web pages into structured data: prices, product lists, company directories, reviews, job posts. In Rankmetr you describe the data you need in plain words, and the scraper extracts it from any website, including sites built on JavaScript, one page or thousands at a time.

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What is a web scraper?

A web scraper is a program that opens a web page, finds the data you care about and saves it in a structured format such as a table or JSON. Data web scraping replaces copy and paste: instead of collecting competitor prices or a list of companies by hand, you set up the extraction once and run it as often as needed.

There are a few kinds of scraping tools. Browser extensions are free and handle simple one-page tasks. Visual desktop and cloud tools such as Octoparse, ParseHub or Import.io let you click on the elements you want to extract and build a scraper without code, which is how most people learn to web scrape without coding.

Developers write their own scrapers in Python or use a web scraping API that returns the page with JavaScript already rendered. AI web scrapers are the newest group: you describe the data, and a language model finds it on the page, so the scraper keeps working when the layout changes.

Web scraping features

The scraping module works now and powers other parts of the platform, from company databases to change monitoring.

Extraction by description

Write what to collect, for example "name, price and availability for every product", and get clean structured data back.

JavaScript websites

Pages that load content dynamically are rendered in a real browser before extraction.

Bulk jobs

Run the same extraction over a list of pages or a whole catalog and get one table.

API access

Data collection runs through an API; access for clients is being packaged with limits and plans.

How it works

01
Give the URL
Paste one page, a list of pages or a catalog section you want to collect.
02
Describe the data
List the fields in plain words. No selectors, no code.
03
Run the extraction
The scraper opens each page in a browser, handles JavaScript and extracts the fields you described.
04
Get the table
Download the data or send it to the next step: a company database, price monitoring or a report.

What marketers scrape

Most marketing data sits on public web pages. These are the common projects where web scraping saves the most time.

Competitor prices and offers: product cards, plans, promotions and delivery terms, collected regularly to see changes.
Company lists: directories and catalogs by category and city, turned into a lead database with websites and phone numbers.
Website technologies: which CMS, analytics and pixels a site uses, also available as a free website technology checker.
Content and topics: headings, FAQs and structure of top pages for a keyword, as input for content planning.
Reviews and mentions: what customers write about you and competitors on review sites and forums.

How to choose web scraping tools

Start from the task, not from the list of the best web scraping tools. For a single page, a free web scraper in the browser is enough. For a few sites with a stable layout, a visual tool works well, although learning a visual editor takes time and free plans are usually limited by the number of pages, projects or scheduling. Developers with complex projects build their own scrapers and pay for proxies and servers.

For marketing teams the important features are different: support for dynamic JavaScript sites, a way to describe data without writing selectors, bulk processing, scheduling and clean output that goes straight into a spreadsheet or report. An AI-based scraper covers these needs without custom code, and that is the approach we use. If you only need to watch a few pages for changes, change monitoring is the simpler option.

From scraped data to a marketing workflow

Data extraction is only the first step. The value appears when the data feeds a process: a weekly price comparison, a list of companies for sales, a content brief. Most scraping tools stop at export: you get a CSV or Excel file and decide what to do with it.

That works for one-off research, but regular tasks require scheduling, deduplication and a place where the results are processed and compared with the previous run.

In Rankmetr scraping is a building block of other modules. Company directories become a lead database with categories and cities. Competitor pages feed price and offer monitoring. Top-ranking pages for a keyword are extracted to help plan content. Users do not have to connect a separate scraper, cloud storage and spreadsheet automation to get there; the workflow already exists.

Types of web scraping software compared

There is no single best web scraper. The right choice depends on who will run it and how often.

Browser extensions: free and quick to start, good for a single page; limited when a task needs many pages, scheduling or JavaScript actions such as scrolling and clicks.
Visual cloud tools (Octoparse, ParseHub and similar): point and click setup without code and cloud runs; a template has to be rebuilt when the layout changes, and free plans have limits.
Code and scraping APIs: maximum control for developers, but you maintain the code, proxies and servers yourself.
AI based scrapers: describe the fields instead of selecting them; more resilient to layout changes, and the best fit for marketing teams without a developer.

Is web scraping legal?

Scraping publicly available data is common practice and in many countries is not prohibited by itself. The risks come from what you collect and how: personal data falls under privacy laws such as GDPR, copyrighted content cannot simply be republished, and many sites limit automated access in their terms of use.

Breaking terms usually leads to a blocked IP or account, not to court, but it is still a risk worth managing. Our scraper collects business data, such as companies, prices and technologies, not personal data, and keeps request rates reasonable.

Free web scraper or a service?

Free scraping software works for small, one-off tasks, and many paid tools offer a free plan with a limited number of pages per month. The cost of scraping a website grows with volume: browsers, proxies, retries for blocked requests and the time to maintain scrapers when sites change. A web scraping service takes that work over. Rankmetr is in private beta and prices are not published yet.

Who needs a web scraping tool

Marketing teams

Collect competitor prices, offers and content without a developer.

Sales and lead generation

Turn catalogs and directories into lists of companies to contact.

SEO specialists

Extract structure and content of top pages, technologies and mentions at scale.

FAQ

What is a scraper tool?

A scraper tool extracts data from web pages and saves it in a structured format, such as a table. It replaces manual copying of prices, contacts or content.

How do I web scrape without coding?

Use a visual scraper, a browser extension or an AI web scraper where you describe the data in plain words. Our tool works the last way.

Are web scrapers legal?

Collecting public data is common and generally not illegal in itself. Personal data, copyrighted content and site terms of use set the limits.

Can ChatGPT do web scraping?

ChatGPT can read a page you give it and pull out data, but it is not built for bulk jobs, JavaScript rendering or regular runs. A scraping tool with an AI model inside handles those.

What is an AI web scraper?

It is a scraper that uses a language model to find the data you describe on the page, instead of fixed selectors. It is easier to set up and keeps working when the layout changes.

How much does it cost to scrape a website?

It depends on the number of pages, how often you collect them and how well the site is protected. Rankmetr is in private beta and prices are not published yet.

Is there a web scraping API?

Yes, our data collection runs through an API. Access for clients is being packaged with limits and plans.

Collect web data with Rankmetr

Web scraping works for beta users. Leave your email and website, and tell us what data you need.