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Top 7 no-code data extraction and scraping tools for 2024

April 26, 2024

Got data you need to yoink but not sure how? Go the no-code way—let someone do it for you. This list will help you pick your winner.

Pulling data from stuff like websites, APIs, and databases demands tools that don't mess around. These tools cut through the crap to automate grabbing data, saving businesses a ton of time and dough. When firms are in a rush to sift through heaps of data from all over the place, data extraction tools are their best bet. They give the overview on what customers are into, current trends, and other juicy bits of info.

With Directual, of course, you can set up the HTTP step and parse whatever you want, but let’s see what you can opt for if you’d like to skip that and go for a ready-made solution instead.

Do you need data scraping, really?

Getting data means yanking info from different spots and making it play nice in a neat format for business moves. Data integration tools mash different data piles together.

You need no-nonsense tools to grab data without wasting time or cash. Automatic data grabbers not only save your skin by speeding things up but also give you the full picture without missing bits. 

For outfits drowning in data needing quick, sharp insights on what their customers like, what's trending, or any tidbit that could steer the business ship right, these tools are great.

Sorry for the potato quality here

For making sense of, analyzing, and showing off the patterns and trends without boring everyone to tears, data visualization steps in.

How to use this extracted data for show-and-tell includes:

  • Dashboards. Slap that data on live dashboards to poke around different info points with graphs, charts, maps, you name it.
  • Data visualization tools. Whip up all kinds of visuals, like line graphs, bar charts, or heat maps.
  • Business intelligence software. Dump that data in, churn out customer segments, performance stats, and whatnot.
  • Spreadsheet. Haul your data into a database and get busy making visuals.

After yanking data from its hidey-hole, you might have to clean up the mess—toss the junk, fill in the gaps, or tweak the data to fit your fancy. Here's where data transformation tools come into play. Then pick how you wanna show it off (like picking a chart type and fussing over design bits). 

Data types you can extract or scrape

Here's what data you can grab and why:

  • Sales data. Snatch purchase info straight from Salesforce or an e-commerce site and shove it into analysis software to dig up insights. It's killer for market research, too.
  • Customer data. Yank purchase records or contact details out of CRM systems for marketing moves. This stuff's also great for feeding into business intelligence and analytics tools to get a clearer picture.
  • Financial data. Grab the lowdown on your cash flow—earnings and spendings—from accounting software or your bank account. Handy for budgeting or forecasting your financial future.
  • Training data. Pull data for training your brainy machine learning or AI projects.
  • Social media data. Influencers and bloggers harvest their followers' public chitchat to get the scoop on their moods, gab topics, and vibes towards certain subjects.
  • Something else. It could be anything—positions for a job board, contacts for a CRM system, anything, really. Scraping does make a lot of work automated.

Get in, get what you need, and put it to work.

Data extraction and how it works in reality

Data extraction tools cut through the crap and make grabbing data from wherever a breeze, turning it into something you can actually use. Pick your poison (the source and the specific bits you're after).

The tool gets to work, dives into the source, and yanks out the data, likely scraping the web or something slick like that to collect the info. Once it's got the goods, it tidies them up into a neat, structured package. Some of these tools will clean up the mess or even let you set up a schedule to keep the data coming without lifting a finger.

Here's the game plan:

  1. Spot the data in the wild
  2. Mark the treasure—what data you're after. This could mean picking out pieces of a webpage or pinpointing precise spots in a database or API.
  3. Snag the data. It lands in a tidy format, think spreadsheet or database table.
  4. Whip it into shape. Might need to dust it off, chuck duplicates, straighten out formats, or dump errors—it’s a part of the process.
  5. Ship it out. Package it up in whatever format suits your next move—CSV, Excel, JSON, you name it, for analysis or machine learning fun.

Are no-code data extraction tools viable for data extraction?

You've got two flavors of data extraction tools: the ones that make you code and the ones that don't.

Code-based tools

Roll up your sleeves because you'll need to crank out some code to get your data. You better know what you're doing, too, because these tools don't play nice with beginners. Here's what's in your toolbox:

  • R packages. For the stats and data viz specialists, R's your go-to with a bunch of packages ready for data grabbing.
  • Python libraries. Python's crawling with tools like Beautiful Soup for those ready to dive into data extraction.
  • Java libraries. Java swings in with its own set of gear, like JSoup and Apache HttpClient, for the data extraction.

No-code tools

For the rest of us who can't code to save our lives or just can't be bothered, no-code tools are the lifesavers. They're easy to use, friendly but might not pack the same punch as their code-needing counterparts. You're looking at:

  • Data integration platforms with connectors to pull data without coding.
  • Web scraping tools where you just point at what you want and where it's hiding, and it grabs it for you.
  • Spreadsheet software, because sometimes you just need to keep it simple, offering features to extract data without breaking a sweat.

When it comes to yanking data from APIs, it's all about sending the right signals (requests) and understanding the lingo (responses), usually in JSON or XML. Then, you sift through that response to pick out the bits you want. You might:

  • Parse JSON—if the API speaks JSON, you parse it to grab the data points you need.
  • Parse HTML, because sometimes it's like extracting teeth from the web.
  • Use regular expressions—when the data follows a pattern, regex is your detective to spot the clues.
  • Handle pagination—for APIs that throw data at you in chunks, you'll need to navigate through pages or batches like flipping through a book.

Code if you can, no-code if you can't or won't—and get to extracting. Whether you're parsing, scraping, or regexing, there's a tool out there for you.

Data scraping and extraction types

The right data extraction tool for the job hinges on where your data is coming from and in what shape it's in, plus the exact bits of info you're after.

Here's the lineup of tools ready to rumble:

  • Email scrapers. Jump into email inboxes or stash to fish out addresses, subjects, and the meat of the messages.
  • Web scrapers. Built to raid websites or web pages for data. Most useful!
  • API extractors. These bad boys pull data straight from APIs into databases for slicing, dicing, or whatever you're into.
  • Database extractors. Whether you're after specific data points, whole tables, or entire data sets, they can raid MySQL or Oracle databases.

PDF extractors. Not just for snatching images from PDFs, they've got OCR to snatch text from scans too.

These tools don't discriminate; they'll take on a variety of data sources.

  • Web scraping. Digs through a site's HTML or XML to grab data that's playing hard to get.
  • SQL. The secret handshake for querying databases to get the data points or records you're eyeing.
  • APIs. The go-between for software apps, letting them grab data from all over the place.
  • Data mining. Hunts down patterns in massive data dumps, often calling for heavyweight software.
  • Data integration. Wrangles data from different spots into one big happy family. Uses data transformation to get everyone speaking the same language.

Some tools are like Swiss Army knives, doing a bit of everything—extracting, transforming, and loading (ETL). These ETL wizards are all about moving data from A to B, making it fit right in, and then stuffing it into a data warehouse for safekeeping.

Are data extraction tools worth it?

Forget about the soul-crushing grind of collecting and sorting data by hand. These tools automate the hell out of it, saving you time and sparing you from burning through resources. They make sure your data is spot-on and complete. 

These tools are a breeze to use, too, with interfaces that don't require a Ph.D. to figure out, features that fit what you're after like a glove, and guides that actually make sense.

Who's in the club of reaping these benefits? Pretty much anyone dealing with data dumps from all over the map. That includes:

  • Market research firms digging into consumer habits, competition, and trends.
  • Startups, companies of any kind—for obvious reasons
  • Researchers in fields like economics, sociology, and political science, hoovering up data for their deep dives.
  • Data scientists and analysts cleansing and prepping heaps of data for machine learning or AI brain teasers.
  • Students gathering data for projects or getting a grip on the ins and outs of data extraction and analysis.
  • Ya’ll should get data scrapers!

If you're in the business of dealing with data, these tools can make your life a whole lot less miserable.

How to choose the best automatic data extraction tool?

Before you jump on a data extraction tool, do your homework and figure out which one's gonna play nice with you. Here are the deal-breakers you gotta mull over:

  • Data source. Kick things off by pinpointing where your data's hiding—databases, SaaS platforms, CSV dungeons? This step narrows down your hunt to tools that can actually talk to your data.
  • Data format. What shape is your data in? Make sure your chosen tool isn’t going to throw a fit when it meets your data.
  • Data transformation. Need to clean up your data’s act, weed out duplicates, or twist it into a new shape? Check the tool's toolbox for these tricks.
  • Scheduling and automation. If you're not keen on babysitting data extraction round the clock, ensure the tool can handle autopilot mode at times you set.
  • Pricing. Don’t let the price tag smack you upside the head. From free trials to subscription or pay-per-use models, pick what doesn’t bleed your wallet dry. Subscription means regular payments for continuous access, while pay-per-use is for those hit-and-run jobs.
  • Data points. Can the tool snag the data points you’re after, or is it going to leave you hanging? Some might not cut it.
  • Usability. Not everyone's a tech wizard. If that’s you, look for something that won’t have you pulling your hair out, with clear instructions to boot.
  • Customer support. Stuck? Check if there’s a lifeline—manuals, forums, templates, or even real humans to help bail you out.

Be smart—weigh these points to pick an ETL tool that won’t let you down. Might wanna play the field with a few tools to see which one fits like a glove for your data dance. Speaking of which…

Best 7 data extraction tools in 2024

Now let’s take a look at some tools you might find very useful. Bear in mind that this is a somewhat indiscriminate assembly of tools we’re familiar with—certainly, there are more out there, too many to list in a single article. 

#1. Octoparse

Octoparse rips data from websites and turns it into structured gold. It’s your go-to for dragging data out of the web's clutches, dealing with nuisances like AJAX, JavaScript, and those pesky CAPTCHAs with its slick visual setup.

Need to check prices, snag contact details, or mine data? Octoparse has got your back. Its interface is easy to use (code-free, too!), making it a gem for anyone who can't code their way out of a paper bag. But if you're itching for more control, it's got advanced tweaks too. Pretty much any site, any language—Octoparse doesn't discriminate.

What Octoparse throws in:

  • Spit data out into CSV, Excel, or databases.
  • Chews through AJAX, JavaScript without a burp.
  • Sneaks around with automatic IP switching to grab what you need.

How much does Octoparse cost?

Free if you're just dipping your toes, but for the heavy lifters:

  • Standard munches through data at $89 a month.
  • Professional gobbles it for $249 a month.
  • Enterprise? They'll talk turkey with you on price.

Who should buddy up with Octoparse?

If you're in the game of pulling data from the web, it's your MVP. Especially for:

  • Yanking product details off e-commerce sites.
  • Scraping up real estate listings.
  • Hoovering up market research.

Octoparse is your web data extraction wingman, making the hard stuff easy and turning the web into your data buffet. We like it, obviously.

#2. Rivery.io

Rivery.io lets you yank, shape, and shove data from a mess of sources into something useful. It’s a cleaning powerhouse—scrub away duplicates and straighten out your data, with a side of automation to keep things ticking over smoothly.

This ETL beast is all about teamwork—great for folks to join forces on data projects and show off their handiwork. It's smart, too—doing the heavy lifting right in the database to save you time and headaches. And you pay by how much you use, not by how many rows you're juggling, so you can scale without sweating the small stuff.

What's in Rivery.io’s arsenal?

  • Hooks up with loads of sources thanks to a heap of ready-to-roll connectors.
  • Keeps your data moving on schedule, automatically.
  • Lets you craft custom data pipelines with APIs and CLI if you want to get hands-on.

What’s it gonna cost?

Rivery uses RPU credits to figure out pricing—you pay per action, not data size. Test drive it with a free trial that gives you all the pro features plus 1,000 credits (that's about $1,200 worth). After that:

  • Starter: $0.75 per RPU credit
  • Professional: $1.20 per RPU credit
  • Enterprise: let's talk

Who’s Rivery.io for?

It’s a hit with businesses knee-deep in E-commerce, AdTech, Pharmaceuticals, and Real Estate. Basically, if you’re in the trenches with data, Rivery.io’s your go-to for making it all play nice.

#3. ScrapingBee

ScrapingBee is your go-to ETL powerhouse with a massive proxy pool that laughs in the face of rate-limiting websites and dodges blocks like a pro. This beast lets you set up data extraction to run on autopilot.

ScrapingBee chews through sites loaded with AJAX, JavaScript, and CAPTCHAs—a breeze to snatch data from the web's trickiest spots. Thanks to JavaScript rendering, just flip a switch and bam—you're scraping any site, whether it's built with React, AngularJS, or Vue.js. Plus, test the waters with 1,000 free API calls.

ScrapingBee's toolkit:

  • Pull data using CSS or XPATH selectors.
  • Grab code samples in Java, Python, Go, PHP, curl, and JavaScript.
  • Use the Google search API for direct search results via API call.

What's the damage?

  • Freelance: $49/month
  • Startup: $99/month
  • Business: $249/month
  • Enterprise: Starts at $999/month

Who should be buddying up with ScrapingBee?

Anyone from data analysts to marketers, and researchers who need to yank data from the web will find ScrapingBee something else entirely.

#4. Bright Data

Bright Data is the heavy hitter for scrubbing, beefing up, and morphing your data, complete with tools for setting things to run while you kick back. They've got this thing called Web Unlocker, which busts through web scrapes without you having to lift a finger against CAPTCHAs, blocks, and whatever else tries to stand in your way, claiming a win rate of 100%.

Then there's the SERP API that fetches search results for any keyword across all the big search engines and a Proxy Network with an insane range of GEO coverage.

Here's what Bright Data packs:

  • A stash of proxy services (ISP, mobile, residential proxies, and a datacenter network with all sorts of IP flavors).
  • A Web Scraper IDE that lets you haul in data from anywhere on the globe, riding on their proxy backbone and some fancy web unlocking tech.
  • Data lineage tracking, so you know where your data's been and where it's going.

Pricing—they tease you with a 7-day free trial, then it's pay-up time starting at $500 a month. They also dangle a "Pay per use" deal if you're not into commitment.

  • Proxy Network: From $15/Gb and $500 a month to $2,000 and beyond for custom plans.
  • SERP API: Starts from $3 CPM and $500 a month up to $2,000 and custom gigs.
  • Web Unlocker: Also from $3 CPM and $500 a month to $2,000, with room for tailor-made plans.

Who's gonna love Bright Data?

Anyone hungry for more data insights. Bright Data serves up a buffet of no-code data delights for business honchos and a rock-solid infrastructure for the nerds. 

#5. Fivetran

Fivetran doesn't mess around when it comes to data integration—it's all about real-time sync, scheduling on autopilot, and making sure your data doesn't act like it's all over the place.

This tool's a no-brainer for businesses wanting to pull their data together in one spot, like a data warehouse, for some serious number crunching and reporting. Fivetran throws a bunch of pre-built connectors at you, making it a piece of cake to hook up various data sources. Plus, it's got your back with automatic schema spotting and data shaping, so everything lines up just right for analysis.

What Fivetran's got up its sleeve:

  • Cloud data yanking
  • Syncing data like it's now or never
  • Setting things to run themselves
  • Making team-ups and sharing easy

On the money side, Fivetran goes by how much you're actually using, counting the monthly active rows (MAR). Take it for a spin with a 14-day free trial.

Who's gonna love Fivetran?

If your company's aiming to up its play in analyzing data—think FinTech, MarTech, and beyond—Fivetran's your bet. It's a solid pick for, analysts, data engineers, and BI people.

#6. Docparser

Docparser doesn't play games—it's all about ripping structured data out of PDFs and other doc types like a pro. Need to pull info from invoices, receipts, contracts, and more? Docparser's your muscle, complete with data checking and shaping powers.

Here's what Docparser flexes:

  • Snatches structured data from PDFs and docs using OCR and ML.
  • Lets you boss around how data's extracted
  • Glues itself to other tools like CRM and accounting software, making data handoffs a breeze.

Docparser lets you test drive for 21 days, no strings attached. After that:

  • Starter: $39/month
  • Professional: $74/month
  • Business: $159/month
  • Enterprise: let's talk custom

Who's Docparser for?

Businesses and groups that need to drag data out of PDFs and docs and do something useful with it. Pulling invoice data for the bean counters, contract info for the legal eagles, or receipt details for expense wrangling—that sort of thing.

#7. Import.io

Import.io turns website data into something structured and ready for machines, no code necessary. Just point, click, and ta-daaa—sites become data. It lets you wrangle thousands of URLs and suck in millions of data rows with its JSON REST-based and streaming APIs. Need images, data from lists, nested stuff, or to chase down those pesky pagination links? Import.io got it.

What Import.io brings to the table:

  • Snatches structured data from sites, like prices, ratings, and reviews.
  • Grabs detailed quotes, fees and all, for spot-on price comparisons.
  • Doesn’t flinch at AJAX, JavaScript, or CAPTCHAs.

Pricing starts at $299 a month, but you can take it for a spin with a free trial.

Who's Import.io perfect for?

Anyone needing to monitor prices, do investment research, grab images and descriptions for online sales, or fuel machine learning and AI will find Import.io fantastic.


At the end of the day, with the myriad of data extraction tools comes the question: which one? Well, just like it is with no-code platforms, you’ll know once you try some of them. Give these options a go and see how well they fit into your picture. It’s the same thing with no-code platforms—hopefully, Directual’s already your pick (and if not—the tools above will integrate well with Directual, just so that you know).

Want to ask us some questions about data extraction and how to do it better? Head to our communities—the links are in the footer below. Thanks for reading!


Are data scraping tools necessary for a startup?
Are data scraping tools necessary for a startup?

Yes, if you aim to gather information from many sources and format it for your business, data scraping is needed. Automate data collection and integration to save resources, and provide insights into customer preferences, trends, and more.

Are no-code data scraping tools as good as custom code?
Are no-code data scraping tools as good as custom code?

Absolutely. No-code data extraction tools are efficient and perfect for those without coding skills or those looking to save time. While they may lack some customization options of code-based tools, they are more than capable of most data extraction tasks.

How to choose a data extraction tool?
How to choose a data extraction tool?

Determine your needs based on data source, format, necessary transformations, automation capabilities, and budget. Test a few tools to find the one that best fits your biz.

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