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Web Crawler

Web is the largest source of public information however due to formatting issues and UX changes, it requires manual effort to get consistent/high quality data from web sources. Web crawlers, with the help of pattern recognition techniques, help users overcome these difficulties and leverage the largest source of public information

Web crawlers are also called web scrapers, web data extractors or collectors.

To be categorized as a web crawler, a product must provide an:

  • Interface (code or graphics based) for building web crawlers
  • Bot management module to start/stop/control bot activities
Challengers Specialists Leader s Contenders Market Presence Momentum
Popularity
Satisfaction
Maturity
Pricing

Compare Web Crawlers
Results: 13

AIMultiple is data driven. Evaluate 13 products based on comprehensive, transparent and objective AIMultiple scores. For any of our scores, click the imgicon to learn how it is calculated based on objective data.

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1.99818357846584
0.20963107551561533
1.2499975991543903
0
5.737704918032787
18.095156105017864
top10
top10
Datahut
null
0
5
1%
= 20 reviews
= 100 employees
= 100,000 visitors

Datahut is a web scraping service provider providing web scraping, data scraping, web crawling and web data extraction to help companies get structured data

2.53848711512521
0.34507514006533285
11.502504668844429
0
0
22.279194890664108
top10
Scrapy
null
0
0
11%
= 20 reviews
= 100 employees
= 100,000 visitors

4.065095025552647
3.120901879428823
62.500008002818696
0
41.53005464480874
12.562833340667058
top5 , top10
top5 , top10
4star
Scrapinghub
4.00
1
41
62%
= 20 reviews
= 100 employees
= 100,000 visitors

Our complete web scraping technology and services gets you web data hassle free for any size business.

42.23431221014212
43.21824304136683
62.500008002818696
43.528737545835696
14.207650273224044
33.378934729119685
top5 , top10
top5 , top10
4star
Mozenda
4.46
7
14
62%
= 20 reviews
= 100 employees
= 100,000 visitors

Billions of web pages scraped since 2007. Trusted by thousands of customers worldwide including many of the Fortune 500.

64.55113370234022
65.26989937764888
0
69.2442250093579
6.0109289617486334
58.08224262456224
top10
4star
Webhose.io
4.10
31
6
0%
= 20 reviews
= 100 employees
= 100,000 visitors

Webhose lets you get instant access to large-scale structured data from the web

93.20301651978043
96.96147544184734
55.00000106704249
100
43.71584699453552
59.37688622117836
top5 , top10
top5 , top10
4star
Datawatch Monarch
4.42
100
43
55%
= 20 reviews
= 100 employees
= 100,000 visitors

Monarch is desktop-based, self-service data preparation, offering the easiest way to access, clean, prepare and blend any data - including PDFs and semi-structured text files. Accelerate your reporting and analytics with easy, powerful data prep.

35.406536112803394
34.8342049620926
100
33.822575910143854
1.366120218579235
40.55751646920051
top5 , top10
top10
4star
Octoparse
4.19
5
1
100%
= 20 reviews
= 100 employees
= 100,000 visitors

Free Web Scraping Tool & Free Web Crawlers for Data Extraction without coding. Cloud-Based Web Crawling/Data As A Service.

25.379537245927843
24.527726544111964
3.125004668310908
25.897672840038734
3.0054644808743167
33.04583356227074
top10
top10
5star
Dexi
4.70
3
3
3%
= 20 reviews
= 100 employees
= 100,000 visitors

Find out what users are saying about dexi.io.

2
0
0
0
0
20
Selenium
null
0
0
0%
= 20 reviews
= 100 employees
= 100,000 visitors

8.679720092776154
4.875000240084561
62.500008002818696
0
100
42.922198767000495
top5 , top10
top5 , top10
Phantombuster
null
0
100
62%
= 20 reviews
= 100 employees
= 100,000 visitors

28.97770702537962
28.474968876569573
0
29.65596619237433
19.94535519125683
33.50235036467001
top5 , top10
3star
Import.io
3.30
6
19
0%
= 20 reviews
= 100 employees
= 100,000 visitors

Web Data Integration - Import.io - Data Extraction, Web Data, Web Harvesting, Data Preparation, Data Integration.

2.077589402846472
0.4253070849462978
10.62499026323725
0
3.551912568306011
16.948130263948038
top10
top10
Content Grabber
null
0
3
10%
= 20 reviews
= 100 employees
= 100,000 visitors

Content Grabber's visual point and click editor is easy to use; non-technical users can quickly become proficient.

2.561177901107058
0.6327870132910008
20.00000426816997
0
1.092896174863388
19.91669589145157
top10
Diggernaut
null
0
1
20%
= 20 reviews
= 100 employees
= 100,000 visitors

Popularity

Searches with brand name

These are the number of queries on search engines which include the brand name of the product. Compared to other product based solutions, web crawler is less concentrated in terms of top 3 companies' share of search queries. Top 3 companies receive 62% (8% less than average) of search queries in this area.

Web Traffic

Web crawler is a less concentrated than average solution category in terms of web traffic. Top 3 companies receive 57% (12% less than average solution category) of the online visitors on web crawler company websites.

Satisfaction

Web crawler is highly concentrated in terms of user reviews. Top 3 companies receive 89% (30% more than average solution category) of the reviews on web crawler company websites. Product satisfaction tends to be slightly higher for more popular web crawler products. Average rating for top 3 products is 4.3 vs 4.2 for average web crawler product review.

Challengers Specialists Leader s Contenders Average Review Score Number of Reviews

Maturity

Number of Employees

Median number of employees that provide web crawler is 22 which is 22 less than the median number of employees for the average solution category.

In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 9 companies (40 less than average solution category) with >10 employees are offering web crawler. Top 3 products are developed by companies with a total of 101-500 employees. However, all of these top 3 companies have multiple products so only a portion of this workforce is actually working on these top 3 products.

Phantombuster
Datawatch
Scrapinghub
import

Learn More About Web Crawler

Is it legal to use a web crawler?

Legality of crawling is currently a gray area and the Linkedin's lawsuit against hiQ which is still in progress, will likely create the first steps of a legal framework around data crawling. In case you are betting your business on crawling, for now don't.

Unless severe restrictions are placed crawling, crawling will remain an important tool in the corporate toolbox. Leading web crawling companies claim to work with Fortune 500 companies like PwC and P&G. BusinessInsider claims in a paywalled article that hedgefunds spend billions on crawling.

We will update this as the Linkedin vs HiQ case comes to a close. Please note that this does not constitute legal advice.

What are the use cases for web crawling?

Web crawling is a true Swiss army knife like Excel, therefore we will stick to the most obvious use cases here:

  • Competitive analysis: Knowing your competitor's campaigns, product launches, price changes, new customers etc. can be invaluable in competitive markets. Crawlers can be set to produce alarms and reports to inform your sales, marketing and strategy teams. For example, Amazon sellers set up price monitoring bots to ensure that their products remain in the correct relative position compared to the competition. Things can take an unexpected turn when two companies automatically update their prices based on one another's price changes. Such automated pricing bots led a book to reach a $23m sales price.
  • Track customers: While competition rarely kills companies, failing to understand changing customer demands can be far more damaging. Crawling customers' websites can help better understand their business and identify opportunities to serve them.
  • Extract leads: Emails and contact information of potential customers can be crawled for building a lead funnel. For example, [email protected][domain].com email addresses get hundreds of sales pitches as these get added into companies' lead funnels
  • Enable data-driven decision making: Even today, most business decisions rely on a subset of the available relevant data. Leveraging the world's largest database, internet, for data-driven decision making makes sense especially for important decisions where cost of crawling would be insignificant.

How does a web crawler work?

First, user needs to communicate the relevant content to the crawler. For the technically savvy, this can be done by programming a crawler. For those with less technical skills, there are tens of web crawlers with GUIs (Graphical User Interface) which let users select the relevant data

Then, user starts the crawler using a bot management module. Crawling tends to take time (e.g. 10-20 pages per minute in the starter packages of most crawlers). This is because the web crawler visits the pages to be crawled like a regular browser and copies the relevant information. If you tried doing this manually, you would quickly get visual tests to verify that you are human. This test is called a CAPTCHA "Completely Automated Public Turing test to tell Computers and Humans Apart". Websites have variety of methods like CAPTCHA to stop such automated behavior. Web crawlers rely on methods like changing their IP adresses and digital fingerprints to make their automated behavior less noticeable

What is a web crawler?

Web crawlers extract data from websites. Websites are designed for human interaction so they include a mix of structured data like tables, semi-structured data like lists and unstructured data like text. Web crawlers analyze the patterns in websites to extract and transform all these different types of data.

Crawlers are useful when data is spread over multiple pages which makes it difficult for a human to copy the data