Link Indexing techniques

here are some keypoints one can index links based on:
1. Categories :
2. Linking Domains :
3. Anchor text :
4. Beginning and ending words of the link URL or domain name:
5. Page depth (depth as in how much pages the link is from the top page) to be posted under a category. For example, all links that are more than 2 pages deep must be posted under a category like: Deep Links . This will make it easy for your readers and Google too see what content is hidden and relevant at different levels of the site. 6. Status Code (I think we do not need this one!): 301,302,307... etc... 7. Text Patterns like regular expressions or special keywords, for example: links that contain "buy" or contain "cheap":
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1. https://www.homify.co.uk/ideabooks/7862464/how-peer-to-peer-lending-is-helpful-for-borrowers
2. https://www.homify.co.uk/ideabooks/7917427/best-ways-to-reduce-risks-in-peer-to-peer-lending
3. https://johndalton6857091.medium.com/how-to-mitigate-the-risks-in-peer-to-peer-lending-a907cfa2135d
4. https://www.datarecovo.com/the-role-of-p2p-lending-in-consumer-segment/
5. https://www.zonedesire.com/tips-to-reduce-risks-in-peer-to-peer-lending/
6. https://www.printeralign.com/facts-about-peer-to-peer-lending
7. https://hourlynewsupdate.com/a-short-guide-to-investments-in-peer-to-peer-lending/
8. https://techuck.com/peer-to-peer-lending-a-rising-industry/
9. https://canvas.instructure.com/eportfolios/539519/Home/Peer_To_Peer_Lending
10. https://businessgracy.com/is-it-safe-to-invest-in-peer-to-peer-lending/
11. https://businessnewsconer.com/how-p2p-lending-is-bringing-a-meaningful-change-to-the-world/
12. https://businessgracy.com/how-can-i-earn-passive-income-from-peer-to-peer-lending/
13. https://tananet.net/a-complete-guide-to-borrowing-via-peer-to-peer-lending/
15. https://www.mrjourno.com/finance/peer-to-peer-lending-vs-bonds-and-stocks-1634103044.html
16. mrjourno.com/finance/peer-to-peer-lending-vs-bonds-and-stocks-1634103044.html
8. Image links :
9. Price of the product, amount of discount and currency symbol. 10. Price range fields for a product based on price or a value range for a keyword based on its cost per click or search volume. ****** Note: I invoke you to think about other possible indexing techniques you can use to make your blog smarter!
Programming details Now let us get back to our little job of building the bot by looking at how we will go around coding it up in Python 2 which is what i favor because i am familiar with it especially when handling text processing tasks like this one ! We will be using Python 2.5 which has some nice libraries and tools we will use to write our bot: - BeautifulSoup : To quickly and efficiently parse HTML pages and extract the data we want to process. - Adjumpy: A wrapper for Google AdSense that helps us generate valid code with ease . Section 1 – Google Search We start by getting a list of all search results on a given query like "python" on google as shown below (remember this is about generating more views!): This is done as follows: # Get search result page from Google url = u"http://google.com/search?hl=en&q="+u"""python"" site:www.daniweb.com" root = soup(urlopen(url)) print root.find("b","query"),end=' ' for line in root.findall("table"): search_result = [] for row in row.findall('tr'): txt = row.find('td').text if txt != None: txt = txt.replace("&","").replace('"','') search_result += [txt] print " ".join(search_result) This is all stuff i learned from my previous endeavors with BeautifulSoup, nothing new here minus the use of BeautifulSoups urlopen function which retrieves web pages using urllib2 . A list of all search results are printed to stdout as done above ! Section 2 – Extracting the blog title This is done by parsing the blog name found in each page. # Get sites associated with current query: for site in search_result: site = site.replace(",","").strip() // remove duplicates if len(site) > 0: print u"""Site Found : {}".format(site) ''' soup = BeautifulSoup(urlopen(u"http://google.com/search?
21. https://p2p-blog.yolasite.com/
22. https://welfulloutdoors.com/2021/10/15/peer-to-peer-lending-how-to-receive-a-personal-loan/
23. https://www.atoallinks.com/2021/all-you-need-to-know-about-peer-to-peer-lending-as-a-beginner/
24. https://www.articlesforpost.com/how-can-you-maximise-your-peer-to-peer-lending-returns/
25. https://www.trendposting.com/how-to-pay-tax-on-peer-to-peer-lending/
26. https://www.suchpost.com/how-to-gain-maximum-benefits-from-the-peer-to-peer-lending-industry/
27. https://smallbusinessidea.in/peer-to-peer-lending-vs-stocks-which-is-better/
28. https://www.thetechbizz.com/3-top-types-of-peer-to-peer-lending/
29. https://premiumpost.co/peer-to-peer-lending-a-financial-system-that-is-becoming-popular/
30. https://wizarticle.com/reasons-to-consider-peer-to-peer-lending-as-a-borrower-2/
31. https://peertopeerlending26.gonevis.com/invest-in-peer-to-peer-to-earn-higher-returns/
32. https://kuflink.mypixieset.com/
33. https://www.umgeeks.com/peer-to-peer-lending/
34. https://bluebeastmedia.com/business/peer-to-peer-lending-explained/
35. https://postbizz.com/lessons-learnt-from-peer-to-peer-lending/
36. https://expertsbadge.com/peer-to-peer-lending-and-its-benefits/
39. https://community.intersystems.com/user/289881/edit
40. https://www.credly.com/users/kuflink-finance/badges
hl=en&q="+u"""%s"""),'html.parser') result = [] link = soup.find("link") for child in link.getchildren(): if child["rel"].lower() == "alternate": result += [child] else: pass # Keep only the last result. end = result.pop() print u"""Site Found : {}".format(end)''' The next task is to find the url of the blog post corresponding to each search result ,which we do by parsing the html code and finding out where it resides which i will leave up to you to figure out !! Here's a hint: We iterate over all posts on each page by using BeautifulSoup 's getchildren function and store them in a list []. We use Python's list comprehension feature [:] to keep only the last value from this list . Section 3 – Feeding our crawler Now here comes real fun stuff: # Parse Daniweb Posts Posts_url = [] for curr_page in result: posts = BeautifulSoup(urlopen(u'http://www.daniweb.com/forums/page-post-topics-'+curr_page), 'html.parser') for curr_block in posts.find_all('div', class_='forumheading'),class_="clearfloat"): posttitle = curr_block['a'].get('title').strip() if len(posttitle) > 0: print u"""Post Title : {}".format(posttitle) Posts url : {}".format('http://www.daniweb.com'+str(Posts))""".format(posts) # Save Post to disk path = os.getcwd() + u'\posts'.replace("\\", "/") + u"\ "+str(curr_page) print path curr_post = open(path, 'w') curr_post.write("".join([u"""URL : {}""".format(curr_block['href']),u"""Date/Time : {}""".format(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime((curr_block['published']))),u"""Title : {}""".format(posttitle)])) ) if len(posttitle) == 0 or posttitle == "": # Maybe it's a link post?
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61. https://bukkit.org/members/kuflink26.91380902/
62. https://www.torgi.gov.ru/forum/user/edit/1523558.page
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