Data Miner Review: Features, Pricing & Tests

Data Miner is one of the few scraping tools that lives entirely inside your browser, and that single design choice shapes everything about who it suits. You install a Chrome or Edge extension, open the page you want, pick a recipe or build one, and it pulls the data into a CSV or Excel file. No servers, no code required, no API token. The question I get is whether a browser-side extension is enough for real scraping work in 2026, or whether you outgrow it fast. This is a single-vendor review: what Data Miner is, how its pricing works, the features that matter, honest pros and cons with sentiment attributed, and who it fits. Every price and feature below comes from Data Miner’s own pages in mid-2026, attributed inline, because pricing pages move and review-site numbers go stale fast. If you want the wider category first, start with the web scraping pillar guide.

One disclosure up front: bestscraperapi.com earns affiliate commissions from some of the vendors I write about, including the ChocoData comparison at the end. That does not change the numbers. Pricing comes straight from each vendor’s own page, and I flag every figure I could not verify rather than guessing.

A second note on performance. The speed and reliability figures in this review are approximate, compiled from Data Miner’s published material plus aggregated public reports. They are not bestscraperapi.com’s own first-hand tests. My independent, like-for-like benchmarks are still in progress; see how we test for the methodology.

What is Data Miner?

Data Miner is a browser extension for Chrome and Microsoft Edge that extracts data from the web page open in your tab into structured CSV or Excel files. Per Data Miner’s site, it bills itself as “the most powerful web scraping tool for professional data miners.” The core idea is a recipe: a saved set of rules that tells the extension which elements on a page to pull and what columns to map them to. You run a public recipe from its library, or build your own.

The detail that defines the product is where it runs. Data Miner executes in your browser, on your machine, using your IP address and your current login session. That is the opposite of a cloud scraper API, where requests go out from the vendor’s servers. The practical effect: you can scrape pages you are logged into (your own dashboards, gated content you have access to), and the site sees traffic from a normal browser session. The trade-off is that one browser tab sets your ceiling on speed and volume, and there is no proxy layer doing IP rotation for you. For the engineering context behind that build-versus-buy choice, see scraping without getting blocked.

How much does Data Miner cost?

Data Miner uses flat monthly plans metered by pages scraped per month, not by request count or compute. The six tiers below are confirmed from Data Miner’s pricing page in mid-2026. I did not find an annual billing option on the page.

Two things stand out from the table. First, the paid tiers share one feature set; you are buying a larger monthly page allowance as you move up, not new capabilities. The jump from Free to Solo is the meaningful one, because Solo unlocks scraping on every domain plus custom JavaScript and Google Sheets, per the pricing page. Second, Free and Solo carry the same 500-page allowance, so Solo’s value is the unlocked domains and features rather than more volume. The page does not state whether unused pages roll over; treat the monthly allowance as use-it-or-lose-it unless Data Miner’s billing terms say otherwise.

How does Data Miner’s page metering work?

Data Miner counts a “page” each time the extension runs an extraction against a page of results, and that unit is the thing your plan caps per month. A single-page scrape of one product listing is one page. A paginated crawl that walks 40 pages of search results counts as 40 pages against your allowance. That matters because pagination is one of the features people buy this tool for, and it is also the fastest way to spend the monthly budget.

The read for budgeting: estimate how many result pages your job walks per month, not how many rows you collect, because a single page can return dozens of rows at no extra page cost. A scrape that pulls 50 rows from one page is far cheaper on this meter than 50 single-row pages. If your target paginates heavily, size your plan by page count, and check whether a recipe can pull more rows per page to stretch the allowance.

What features does Data Miner offer?

Data Miner bundles a recipe library, a no-code recipe builder, pagination, form filling, table grabbing, and file export, all inside the browser extension. Here is what its site confirms exists, by name, in mid-2026.

The recipe library is the headline. Per Data Miner’s site, it offers more than 50,000 pre-made queries across 15,000-plus sites, which means for many common targets you scrape without building anything. When no recipe exists, the Easy Finder tool lets you click elements on the page to define your own, no selectors typed by hand. That no-code path is the same job you would otherwise script with BeautifulSoup or Scrapy, traded for a point-and-click workflow.

One capability gap is worth naming plainly: there is no public REST API and no proxy or IP rotation built in, because the tool is a browser extension by design. You drive it from the browser UI, and traffic uses your own IP. If your workflow needs programmatic calls from a server or rotating IPs against anti-bot defenses, that is a different class of tool, covered in the Python web scraping guide.

How fast and reliable is Data Miner?

There is no single Data Miner speed or success-rate number to quote, because performance depends on the target site, your connection, and whether the page loads content dynamically. The honest framing: a browser-side extension is bounded by one tab on your machine, so throughput is lower than a server-side API that fans out parallel requests, and reliability tracks whatever your own IP and session can reach. The figures below are approximate, compiled from Data Miner’s published material plus aggregated public reports, and are not bestscraperapi.com’s own measurement.

Two caveats before you lean on these. First, running on your own IP is an advantage for logged-in and low-volume work and a liability for high-volume scraping of sites with aggressive bot defenses, where a missing proxy layer means you carry the block risk. Second, the throughput row is approximate, compiled from public reports and vendor material, not a controlled test by me. My independent, same-target benchmark is in progress at how we test; check back for measured numbers rather than trusting any vendor’s self-report.

What are the pros and cons of Data Miner?

The honest summary is that Data Miner is one of the fastest tools to get a usable CSV out of a website with zero code, and its browser-only design is the same thing that limits it at scale. Sentiment below is attributed: these reflect commonly reported user experience and Data Miner’s own documented behavior, not a controlled test by me.

The recurring theme in user feedback is speed-to-result against a hard ceiling: people praise how quickly they get structured data from a site with no engineering, then note they hit the per-page monthly cap or the single-tab speed limit once a job grows. The recipe library draws consistent praise for covering common targets, and the no-code Easy Finder is cited as approachable for non-developers. The most common frustration is the absence of proxies on harder sites.

Who is Data Miner for?

Data Miner fits non-developers and small teams who need data from a website now, without writing code or standing up infrastructure. If you are a marketer pulling a few thousand listings, a student gathering a dataset, a recruiter exporting search results, or a founder validating a market, the point-and-click recipe workflow gets you a CSV in minutes, and the 500-page Free tier lets you try the exact job before paying. The ability to scrape pages you are logged into is a genuine edge for your own dashboards and gated content you have legitimate access to.

It fits less well for high-volume or anti-bot-heavy scraping. Because it runs in one browser tab on your own IP with no proxy layer, large catalog crawls are slow and pages behind aggressive bot defenses are unreliable. It also does not fit pipelines that need a programmatic API, scheduled server-side runs, or rotating IPs. For those cases, a proxy-backed scraper API is the better architecture, which is the comparison below.

How does Data Miner compare to ChocoData?

ChocoData is a useful contrast because it sits at the other end of the design space: a server-side scraper API rather than a browser extension. Both turn a web page into structured data, but where the work runs and how you drive it differ. The comparison below is factual, from each vendor’s own pages in mid-2026.

The practical read: Data Miner is the faster on-ramp for a human doing a one-off or recurring export by hand, especially on pages you are logged into, and it asks for no code at all. ChocoData is the tool for scale and automation: it runs server-side with managed proxies and anti-bot handling, exposes a universal endpoint plus 453 dedicated endpoints, and is driven by sending a URL from your own code, per ChocoData’s site in mid-2026. If your job is point-and-click data collection at modest volume, Data Miner covers it; if you need rotating IPs, scheduled server-side runs, or programmatic calls into a pipeline, ChocoData is the better fit. Try ChocoData.

One last reminder, because it matters for budgeting: every figure here is what each vendor published in mid-2026, and scraper pricing changes frequently. Confirm the current number on the vendor’s own pricing page, and check whether a plan meters by page, by request, or by compute so you are comparing like with like. For the broader landscape, the web scraping pillar guide and the Python web scraping guide cover the code-first alternatives you can run instead of an extension.