Databar Alternatives

You might have used Databar for good reasons. It’s effective for automating prospecting with its web scrapers and no-code features. The tool performs well when you need to build lists or enrich data without writing complex code.

But no tool is perfect. Some users note a learning curve and occasional data inaccuracies. We've analyzed the best alternatives to Databar, comparing their pros and cons to help you shortlist options for a deeper review. Let's get started.

Consider 11x for Sales Operations

If your sales team needs to automate tasks beyond data collection, digital workers are an option. These tools handle repetitive sales activities, allowing your team to focus on closing deals.

11x provides digital workers for sales development. If you are exploring ways to automate prospecting and outreach, you might find their approach useful for your operations.

11x is a go-to-market platform that uses AI agents to manage the sales process. One agent, Alice, finds prospects, handles outreach on email and LinkedIn, and keeps your CRM updated.

Another agent, Julian, qualifies inbound leads and books meetings. This can replace separate tools for data enrichment, outreach, and email warmup by unifying them in one platform.

Databar Alternatives

Here is a detailed breakdown of the top Databar alternatives. We will compare each tool's pricing, features, and specific pros and cons to help you find the right fit.

1) Octoparse

Octoparse is a web scraping tool for extracting data from websites without code. It has a visual, point-and-click interface. Users select data on a webpage to build a scraper. This method works well for non-technical team members.

Databar provides ready-to-use data tables, but Octoparse lets you build custom scrapers. This offers more control over data extraction for specific sites. It is a good fit for projects where pre-built solutions do not exist.

To scrape complex websites can sometimes be a challenge. It might require more configuration if a site's structure changes. The free plan has limits on tasks and speed, which could move users to paid tiers for larger projects.

Choose Octoparse if you need to scrape public web data from sources without APIs. It is a solid choice for teams that need the flexibility to build data extractors without help from developers.

Octoparse is a platform to convert web pages into structured data without code. It has a visual designer and uses AI to auto-detect page data. Users can build and schedule data extraction jobs on its cloud infrastructure.

Common uses are lead generation to scrape contact lists, and e-commerce to collect competitor prices and product data. It can also mine social media posts and comments.

Octoparse's Main Features

• Handles advanced site interactions like infinite scrolling, dropdowns, hovers, and AJAX.
• Includes a built-in anti-blocking toolkit with IP rotation, CAPTCHA solving, and proxy support.
• Automates jobs on 24/7 cloud servers with support for flexible intervals and just-in-time data pulls.
• Uses an AI assistant to auto-detect page data and offer contextual tips to speed up task creation.

How Octoparse Compares to Databar

Average Review score: 4.8/5 stars based on 52 G2 reviews.

• Octoparse lets you build custom scrapers with a visual interface. This gives you more control over data extraction for specific sites, unlike Databar which provides ready-to-use data tables.
• It handles advanced site interactions like infinite scrolling and CAPTCHA solving. This feature allows for data collection from complex websites where a standard API might not be available.
• The tool uses an AI assistant to auto-detect page data. This helps speed up the creation of a new scraper, while Databar focuses on providing existing data sets.
• You can schedule automated data extraction jobs on its cloud servers. This is useful for projects that need continuous data, such as tracking competitor prices.

Where Octoparse May Fall Short

• Some users note a learning curve. Unlike Databar's ready-to-use data tables, building a custom scraper from scratch in Octoparse might require more initial effort and technical skill.
• It does not offer pre-built, instantly accessible datasets. Compared to Databar, you must first build and run a scraper for a specific website to collect any information.
• The tool's performance can sometimes be slow for complex scraping jobs. Databar may offer faster access to information since it provides optimized, existing data tables instead of real-time scraping.

Pricing and Plan Comparison

Both tools provide a free plan. Databar's pricing is credit-based, which suits variable usage, while Octoparse offers fixed monthly plans starting at $119, making it a better fit for predictable budgeting.

2) ParseHub

ParseHub is a platform to extract web data without code. It offers a visual tool to select the information you want from a page. This allows teams to build web crawlers for no-code prospect work or other data collection projects.

The application can navigate websites and pull data from multiple pages. It then delivers the information in a structured format for analysis.

ParseHub's Main Features

• It offers a visual tool to build web crawlers by selecting data directly from a webpage.
• The application navigates across multiple pages to pull information from an entire website.
• Collected data is delivered in a structured format ready for analysis or other business use.

How ParseHub Compares To Databar

Average Review score: 4.3/5 stars based on 10 G2 reviews.

• ParseHub lets you build custom scrapers for specific websites, which gives you more control over data extraction than Databar's pre-built data tables.
• It extracts data from dynamic websites that rely on JavaScript, which is useful for sources that Databar's static datasets might not cover.
• The tool creates an API from a website, allowing your other applications to pull live data directly, a more integrated approach than downloading files from Databar.
• ParseHub can monitor websites for changes and provide alerts, a feature for tracking live data that is different from Databar's focus on providing data snapshots.

Where ParseHub May Fall Short

• Unlike Databar's ready-to-use data tables, ParseHub requires you to build a scraper from scratch for each data collection project. This can delay access to information when you need it quickly.
• The tool may present a learning curve for non-technical users who need to build a complex scraper. In contrast, Databar offers a more straightforward approach to access its existing datasets.
• A scraper built with ParseHub might require maintenance if the target website changes its structure. This is different from Databar, where the platform manages the data sources for its tables.

Pricing and Plan Comparison

Databar offers a credit-based model, which is suitable for variable usage. ParseHub's pricing is not publicly available, so for the most accurate information, we recommend visiting ParseHub's official website.

3) Apify

Apify is a cloud platform for web data extraction. It provides a marketplace with over 6,000 pre-built scrapers, called Actors. Users can also build their own serverless scrapers or outsource projects to Apify's professional services team.

Common applications include lead generation, sales prospect discovery, and market research. The platform offers an ecosystem for web automation and data collection.

Apify's Main Features

• Offers a marketplace with over 6,000 pre-built scrapers, called Actors, for popular websites.
• Provides a serverless environment to build, deploy, and monitor custom web scrapers and automations.
• Includes built-in residential and datacenter proxy pools to avoid IP bans during data extraction.
• Integrates with tools like Zapier, GitHub, and Google Sheets through one-click connections or an API.

How Apify Compares to Databar

Average Review score: 4.7/5 stars based on 213 G2 reviews.

• Apify offers a marketplace with over 4,000 pre-built scrapers, called Actors. This provides more specific data extraction options compared to Databar's general data tables.
• It supports custom scraper development with open-source libraries like Crawlee and Playwright. This offers more technical flexibility than Databar's no-code environment.
• The platform includes a large pool of datacenter and residential proxies to avoid IP blocks. This feature helps with successful data collection from complex websites, a different approach from Databar's managed datasets.
• Users can build, run, and monetize their own serverless apps on the platform. This creates a developer ecosystem, which is different from Databar's focus on data provision.
• The tool connects to hundreds of apps through ready-made integrations and an API. This offers more workflow automation options compared to Databar's data export features.

Where Apify May Fall Short

• Apify can present a learning curve for non-technical users. Unlike Databar's ready-to-use tables, some users note that creating custom automation on Apify may require technical knowledge.
• The platform requires users to run a scraper to collect information, which is not instant. In contrast, Databar provides immediate access to its pre-built data tables without a data extraction delay.
• Custom scrapers built on Apify might need maintenance if a target website's structure changes. This differs from Databar, where the platform manages the upkeep of its data sources for its users.

Pricing and Plan Comparison

Both tools offer a free plan. Databar uses a credit-based model suitable for variable usage, while Apify provides fixed monthly plans starting at $49, which is better for predictable budgeting.

4) Import.io

Import.io provides web data as a service. It is a platform for companies that need web crawlers for no-code prospect work or market research. The tool extracts public web information and organizes it into structured data feeds.

This approach supports custom projects where pre-built data tables are not a fit.

Import.io's Main Features

• Designs, builds, and maintains custom extractors based on client requirements, including issue resolution.
• Captures hard-to-get product details, pricing, inventory levels, and digital-shelf metrics.
• Delivers structured data to any cloud destination or via API, with transformation services to standardize sources.
• Provides a dedicated customer success representative and scheduled reporting for support.

How Import.io Compares to Databar

Average Review score: 2.3/5 stars based on 2 G2 reviews.

• Import.io provides a managed service to build and maintain custom data extractors. This is different from Databar, which offers pre-built, ready-to-use data tables for general use.
• The tool includes a dedicated customer success representative for support. This offers a higher level of service compared to Databar's self-service model.
• It offers data transformation services to standardize information from various sources. This provides cleaner data for analysis than simply exporting from Databar's tables.
• Users can process thousands of URLs at the same time for large-scale projects. This capacity is suited for custom data collection, unlike Databar's focus on providing existing datasets.

Where Import.io May Fall Short

• Import.io does not have public pricing, which can make budget planning difficult. This is different from Databar, which offers a transparent, credit-based model that allows users to start with a free plan.
• The tool requires users to build a custom extractor for data collection, which can delay access to information. In comparison, Databar provides instant access to its pre-built, ready-to-use data tables.
• Some users report service reliability issues, such as data extractors failing after platform updates. This contrasts with Databar, where the platform manages data source maintenance for its users.

Pricing and Plan Comparison

Databar offers a credit-based model, which is suitable for variable usage. Import.io's pricing is not publicly available, so for the most accurate information, we recommend visiting Import.io's official website.

5) Phantombuster

Phantombuster is a platform for lead generation and data extraction. It uses automations, called Phantoms, to perform tasks on websites and social media platforms. This helps teams with no-code prospect work.

The tool provides a library of pre-built Phantoms for various outreach and data collection jobs. This approach removes the need to build scrapers from scratch.

Phantombuster's Main Features

• Provides a library of pre-built automations, called Phantoms, for specific data extraction and outreach tasks.
• Automates actions on social media platforms and websites to collect public data or engage with users.
• Offers a no-code interface to run data extraction jobs without building scrapers from scratch.

How Phantombuster Compares To Databar

Average Review score: 4.3/5 stars based on 97 G2 reviews.

• Phantombuster provides pre-built automations, called Phantoms, for specific tasks like scraping LinkedIn. This approach differs from Databar, which offers more general, ready-to-use data tables.
• It automates actions to interact with prospects on social media. This provides an outreach function that is not present in Databar's data-focused platform.
• The tool lets users build advanced workflows that connect multiple actions. This is a more complex automation feature compared to Databar's focus on single data set extraction.
• Its specialization in scraping data from major social networks like LinkedIn offers a targeted approach for sales teams, unlike Databar's broader data sources.

Where Phantombuster May Fall Short

• Phantombuster requires users to run an automation to get data, which introduces a delay. Databar, in contrast, provides immediate access to its existing data tables.
• The tool focuses on data from major social networks. This is different from Databar, which offers a broader library of general datasets across various industries.
• Its automations can sometimes break if a target website updates its design. With Databar, the platform handles all data source maintenance for its users.

Pricing and Plan Comparison

Both tools offer a free plan to get started. Databar uses a credit-based model suitable for variable usage, while Phantombuster offers subscription-based plans. For the most accurate and up-to-date pricing information, we recommend visiting Phantombuster's official website.

Explore 11x for Sales Automation

If your sales team needs to automate tasks beyond data collection, digital workers are an option. Consider 11x to automate prospect discovery, outreach, and other repetitive sales activities. This allows your team to focus on deal closure.

With 11x, we use AI to manage your sales process. An agent named Alice identifies accounts, enriches data, and handles outreach. Another agent, Julian, qualifies inbound leads and books meetings. The platform unifies tools for intent data and email warmup, removing the need for separate solutions.

Book a demo to see how 11x works.

6) Bright Data

Bright Data is a web data platform for public data collection. It offers infrastructure and tools to gather information from websites. Companies use this data for projects like competitive analysis, market research, and sales intelligence. The service helps teams access web information at scale for their operations.

Bright Data's Main Features

• It provides a data collection infrastructure for accessing public web information.
• The platform includes a suite of tools for gathering data from various websites.
• It supports large-scale data extraction operations for enterprise needs.

How Bright Data Compares To Databar

Average Review score: 4.6/5 stars based on 248 G2 reviews.

• Bright Data provides a large proxy network with millions of residential and mobile IPs for custom data collection. This is different from Databar, which offers pre-built data tables instead of scraping infrastructure.
• It allows for precise geo-targeting by country, city, or carrier to gather localized information. This offers more specific data collection than the general datasets available in Databar.
• The platform is designed for large-scale, compliant data extraction projects. This focus on enterprise-level operations contrasts with Databar's model of providing ready-to-use data for more general use cases.
• Users can convert unstructured public web data into structured formats. While Databar provides structured data, Bright Data gives you the tools to structure any data you need from the web.

Where Bright Data May Fall Short

• Bright Data does not offer pre-built datasets. Users must build a scraper to collect information, which can be slower compared to Databar’s instant access to ready-made tables.
• Some users note a learning curve, especially for advanced features. Databar's no-code interface might be more straightforward for teams without dedicated technical staff.
• The platform is designed for large-scale data extraction. For smaller projects or variable usage, Databar's credit-based pricing model can sometimes be more cost-effective.

Pricing and Plan Comparison

Both tools offer a free way to start; Databar has a free plan, while Bright Data provides a free trial. Databar uses a credit-based model suitable for variable usage, but Bright Data's pricing is not public. For the most accurate information, we recommend visiting Bright Data's official website.

7) Web Scraper

Web Scraper is a browser extension for extracting data from websites. It adds a data selection tool to your browser's developer tools. This allows users to build custom data extractors directly within the browser, which is useful for teams that need a hands-on approach to data collection.

The tool works by creating a sitemap that outlines how to navigate a website and what data to extract. It can handle complex sites with multiple levels of navigation. This makes it a flexible option for projects that require specific data not found in pre-built tables.

Web Scraper's Main Features

• Operates as a browser extension for Chrome and Firefox, integrating directly into developer tools.
• Uses a point-and-click interface to build sitemaps that define navigation and data extraction rules.
• Handles dynamic websites with JavaScript, AJAX, pagination, and infinite scroll.
• Exports collected data to CSV, XLSX, and JSON formats for analysis.

How Web Scraper Compares To Databar

Average Review score: 4.4/5 stars based on 41 G2 reviews.

• Web Scraper is a browser extension, while Databar is a web-based platform. This means data extraction happens locally on your machine with the free version, not in the cloud.
• It requires you to build a sitemap to define the scraping logic. This offers more control than Databar's pre-built tables but requires more initial setup and technical understanding.
• The tool can scrape data from any public website you can navigate to. This provides flexibility for custom projects where Databar might not have a relevant dataset.
• It offers a cloud-based version for scheduled scraping. This is a feature for automation, whereas Databar focuses on providing instant access to existing data collections.

Where Web Scraper May Fall Short

• The free version runs on your local machine, which can be slow and use significant computer resources for large jobs. Databar's cloud infrastructure provides faster access to data without impacting your system.
• There is a learning curve to building effective sitemaps for complex websites. Databar offers a more direct path to data with its ready-to-use tables, requiring no setup.
• Scrapers may break if a website's layout changes, requiring you to manually update your sitemap. Databar manages the maintenance of its data sources for its users.

Pricing and Plan Comparison

Web Scraper offers a free browser extension for manual data extraction. For automated and cloud-based scraping, paid plans are available. Databar's credit-based model may be more flexible for varied usage, while Web Scraper's plans suit projects with predictable, recurring data needs.

Web Scraper is a browser extension to extract data from websites. It adds a selection tool to your browser's developer tools. Users can build custom data extractors directly in the browser, a hands-on approach for no-code prospect work.

The tool uses a sitemap to define site navigation and what data to pull. It handles complex sites with multiple navigation levels, a fit for projects that need specific data not available in pre-built tables.

Web Scraper's Main Features

• Offers a choice between a full JavaScript rendering driver and a faster non-rendering one.
• Includes proxy rotation across thousands of IPs, with datacenter proxies included and residential ones available as an add-on.
• Provides a parser for post-processing and monitoring data quality, with alerts for failed pages and record counts.
• Bypasses captcha and bot protection from services such as Cloudflare, Datadome, and PerimeterX.

How Web Scraper Compares To Databar

Average Review score: 4.4/5 stars based on 4 G2 reviews.

• Web Scraper lets you build custom extractors for any public website. This offers more control for specific data needs compared to Databar's library of pre-built data tables.
• It works as a browser extension, so you can build scrapers directly on a webpage. This is a more hands-on approach than using Databar's separate web platform.
• The tool extracts data from dynamic websites that use JavaScript and AJAX. This allows you to collect information from complex sites that Databar's static datasets may not include.
• This tool provides advanced features like proxy rotation and captcha bypassing. These functions help gather data from protected sites, a different capability from Databar's focus on providing accessible datasets.

Where Web Scraper May Fall Short

• Some users report that exported data can have formatting issues, like mixed-up columns and rows. This might require manual data clean-up, a step not needed with Databar's standardized data tables.
• Web Scraper requires a two-step process: first build a scraper, then run it to collect data. This is different from Databar, where you get immediate access to populated data tables.
• The user is responsible for all scraper maintenance if a website's structure changes. Databar, in contrast, manages all data source upkeep for its users as part of its service.

Pricing and Plan Comparison

Databar uses a credit-based model with a free tier, which is suitable for variable usage. Web Scraper also offers a free browser extension, but pricing for its paid cloud plans is not public. For the most accurate information, we recommend visiting Web Scraper's official website.

8) Hexomatic

Hexomatic is a no-code work automation platform for web data extraction. It provides a point-and-click interface and a library of pre-built automations. Users can create workflows to scrape websites for lead generation or market research without code.

The platform combines data collection with other automated tasks in a single workflow. This supports no-code prospect work for sales and marketing operations.

Hexomatic's Main Features

• Provides a library of pre-built automations and scraping recipes to scale data extraction tasks.
• Extracts data from diverse sources, including standard web pages, Google Maps, Amazon, and PDFs.
• Structures extracted information from websites into organized data for analysis or export.
• Consolidates data extraction and other work automation functions into a single platform.

How Hexomatic Compares To Databar

Average Review score: 4.8/5 stars based on 21 G2 reviews.

• Hexomatic provides pre-built scraping recipes for specific sites like Google Maps and Amazon. This offers a more targeted approach than Databar's general, ready-to-use data tables.
• It allows users to build custom workflows that combine data extraction with other automated tasks. This is different from Databar, which focuses solely on providing access to data.
• The tool includes extra utilities like email verification within its platform. This can reduce the need for separate tools, whereas Databar is a dedicated data provider.
• Users can extract structured data directly from PDF documents. This capability handles a document format that is not typically available within Databar's web-focused data library.

Where Hexomatic May Fall Short

• Hexomatic requires you to run an automation to collect information, which introduces a delay. In comparison, Databar provides instant access to its ready-to-use data tables.
• Some users note that the platform can be tricky for beginners. Databar's approach of providing direct data access might be more straightforward for teams that need a simple solution.
• The tool's automations can sometimes require updates if a target website changes its structure. With Databar, the platform handles all data source maintenance for its users.

Pricing and Plan Comparison

Both tools offer a free plan to get started. Databar uses a credit-based model suitable for variable usage, while Hexomatic provides subscription-based plans. For the most accurate and up-to-date pricing information, we recommend visiting Hexomatic's official website.

9) Captain Data

Captain Data is a no-code platform for data automation. It offers pre-built workflows to extract information from websites, including social networks like LinkedIn. This helps teams with no-code prospect work.

The extracted data can be used for lead generation or to enrich contacts in a CRM. The platform automates the collection process to support sales and marketing teams without code.

Captain Data's Main Features

• Provides an intent data API to identify buyer profiles and signals in real-time.
• Offers intent data for training and running proprietary AI agents.
• Automates data extraction with pre-built workflows and a large library of integrations.
• Enables real-time data scraping to create customized enrichment workflows.

How Captain Data Compares To Databar

Average Review score: 4.7/5 stars based on 60 G2 reviews.

• Captain Data provides an intent data API to find real-time buyer signals. This is different from Databar, which offers more general, pre-built data tables.
• It offers intent data specifically to train AI agents. This provides a more specialized function compared to Databar's focus on direct data access for human analysis.
• The tool enables real-time data scraping to build custom enrichment workflows. This offers more flexibility than Databar's static, ready-to-use datasets.
• Its large library of integrations lets you build a sales platform with its data. This is a more integrated approach compared to Databar's data export features.

Where Captain Data May Fall Short

• Captain Data does not provide instant data; users must first run an automation to collect information. In comparison, Databar offers immediate access to its library of pre-built data tables.
• Some users note a learning curve for complex workflows on the platform. Databar's model is more direct, as it offers ready-to-use data tables without the need to construct an automation.
• The tool's subscription plans start at a high monthly price, which might be a large commitment for some teams. Databar's credit-based pricing provides more flexibility for variable usage or smaller-scale projects.

Pricing and Plan Comparison

Databar offers a free plan and a flexible credit-based model suitable for variable usage. Captain Data's subscription plans start at $399 per month for 10,000 credits. This makes Databar more accessible for smaller projects, while Captain Data is better for teams with predictable, high-volume needs.

10) Diffbot

Diffbot is a platform that uses AI to convert unstructured web data into structured information. It automatically identifies page types like articles or products and extracts relevant details. This process builds a knowledge graph from web sources.

Companies use this for market intelligence, news analysis, and to find sales leads. The tool offers a different approach to data collection for web crawlers or no-code prospect work.

Diffbot's Main Features

• Uses machine vision and natural language processing to convert unstructured web pages into structured data.
• Offers a Knowledge Graph, a database of over 10 billion entities like organizations and products, linked by over a trillion facts.
• Includes the Diffbot Query Language (DQL) for users to make expressive queries against the data.

How Diffbot Compares To Databar

Average Review score: 4.9/5 stars based on 29 G2 reviews.

• Diffbot provides a Knowledge Graph, a large database of interconnected entities. This is different from Databar, which offers separate, pre-built data tables for specific topics.
• It uses AI to automatically understand and structure data from any web page. This allows for creating custom datasets, whereas Databar provides a library of existing ones.
• The platform includes a specific query language (DQL) for complex searches across its entire database. This offers more detailed data retrieval compared to searching for individual tables in Databar.
• Its Knowledge Graph is updated in near real-time with information from across the web. This provides more current data than Databar's tables, which are refreshed on a schedule.

Where Diffbot May Fall Short

• Diffbot requires users to build queries to get data from its Knowledge Graph. This is different from Databar, which provides immediate access to ready-to-use data tables and can be faster for simple data lookups.
• Some users note a learning curve with its custom Query Language (DQL). Compared to Databar's no-code interface, this tool may require more technical skill to find specific information.
• Its subscription plans start at a higher monthly price. This structure might be less suitable for smaller projects compared to Databar's flexible, credit-based model that includes a free tier.

Pricing and Plan Comparison

Databar offers a free plan and a credit-based model, making it flexible for variable usage. Diffbot provides a 14-day free trial, with paid subscription plans starting at $299 per month. This makes Databar more accessible for smaller projects, while Diffbot's fixed plans suit teams with predictable, high-volume needs.

Which One Should You Go With?

Choosing a Databar alternative depends on many variables, including your budget, technical resources, and specific data needs. This guide shared several options to help you compare features and decide on the right tool for your operations.

If your needs go beyond data collection to sales process automation, consider 11x. Its digital workers handle prospecting, outreach, and lead qualification, allowing your sales team to focus on closing deals instead of on repetitive tasks.