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Website Extraction For Beginners

  • wikicrunch Level 1
    • 18

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    Website Extraction For Beginners

    A? ?f 2014, th?r? ??rt??nl? ?? ?v?r 10 million terabytes ?f data ?n th? web. Th?? accounts t? m?r? th?n 7 million home computers filled t? th??r full capacity. And th?? number doubles ?v?r? f?v? years.

    All th?? information ?? accessible t? ?ll ?f u? ?nd m??t th?n ?t ?? free ?f charge. Unfortunately, th?? data ?? presented t? u? ?n ? w?? th?t w?ll m?k? ?t simple f?r ?n average user t? browse ?nd search around. Y?t n?t f?r ? business f?r storage of, analyze ?nd process th?? information.

    Th?? ??n b? wh?r? web page scraping ??m?? handy. W? h?v? sought ?ut weeks, ?f n?t months, searching f?r ? remedy t? th?? problem. I discovered ? handful ?f companies offering th??r web scraping services but ?t ? ridiculously high rate. I ?l?? f?und ??m? freelancer sites ?nd located ??m? professionals dedicated t? web scraping. B?tt?r prices, but ?t?ll ? l?ttl? high f?r ??m?th?ng th?t ? computer program ??uld do. I'm m?r? ?f ? do-it-yourself version ?f person anyway. N?w h?w ?b?ut ??m? DIY web scraping tools?

    Nevertheless, th?r? ?r? ??v?r?l ?v??l?bl? t? you, Helium Scraper ?? ??rh??? th? easiest, ??t powerful ?n? I h?v? ?v?r found. It's r?l?t?v?l? new, ?? ??u m?? h?v? n?t heard ?b?ut it. Initially wh?n I f?r?t tr??d it, I f?und m???lf ??tu?ll? qu?t? disappointed b? h?w elementary ?nd plain th? main screen looked. But ?ft?r f?ll?w?ng th? primary tutorial th?t accompanies it, ?nd h?v?ng fun w?th ?t ??m? sort of, I managed t? set ?t ?? mu?h ?? extract data th?t w?ll h?v? n?w b??n impossible t? extract w?th ?n? ?th?r web scraper I h?v? tr??d before.

    Th?? ?? th? w?? ?t operates, t? put ?t briefly:

    First, ??u create ??m? items called kinds. Th?? ?r? w?? ??u t?ll Helium Scraper wh?t ?? ?x??tl? wh?t ?n ? web site page. Basically, ??u highlight ? f?w elements ?n ? page, ?nd ??? "this ?r? phone numbers" ?r "this ?r? links" ?r "this ?r? whatever". Th?n Helium Scraper finds ? pattern ?nd recognizes wh?t ??u meant b? "phone numbers", "links" ?r "whatever".

    Next, ??u create th??? th?ng? ??u w?nt Helium Scraper t? perform w?th th? kinds ??u ?nl? created. H?r? ??u ??n automate ?t t? perform ?u?t ?n? action ??u w?uld n?rm?ll? d? w?th ? browser, ?u?h ?? clicking ?r navigating thr?ugh links, plus, ?f course, extracting data. Th?? ?r? organized ?? ?n intuitive tree wh?r? you, f?r instance, w?uld add ?n "Extract" ?nd ? "Navigate" action ?n??d? ? "Repeat" action t? possess Helium Scraper repeatedly extract information fr?m ? search engine results page ?ft?r wh??h navigate t? ?n?th?r page.

    Ev?n th?ugh Helium Scraper h?? n? n??d f?r ?n? programming skills, ?n? ??uld greatly m?k? u?? ?f ??m? JavaScript knowledge. I'm m???lf n?t ? computer programmer, but w?th ??m? googling, I've w?r? ?bl? t? set ?t ?v?r t? perform m?r? complicated tasks, ?u?h ?? f?r ?x?m?l? automatically filling ?nd submitting forms, simulate user selections ?n combo boxes, ?nd processing th? results b?f?r? b??ng extracted w?th?n th? database.

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    dragonhunter95

    dragonhunter95

    thank you.
    12 years ago

    Are you sure you want to delete this post?

    wikicrunch

    wikicrunch

    Great
    12 years ago

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    tionna

    tionna

    Good article here. You did a great job explaining things. Keep it up.
    12 years ago

    Are you sure you want to delete this post?

    wikicrunch

    wikicrunch

    Thank You Very Much.
    12 years ago

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    arthurdias

    arthurdias

    Great Information.
    12 years ago

    Are you sure you want to delete this post?

    stevexavior

    stevexavior

    Very good information and knowledge
    12 years ago

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    angie828

    angie828

    Very nice work here!
    12 years ago

    Are you sure you want to delete this post?

    brownie

    brownie

    Great article here Wikicrunch!
    12 years ago

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    yasas

    yasas

    thanks
    12 years ago

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    blueeyes

    blueeyes

    Great post. Keep up the work that you have done!
    12 years ago

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    maiceladien

    maiceladien

    Good work!
    12 years ago

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    tionna

    tionna

    Excellent job!
    12 years ago

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    seofaruk

    seofaruk

    perfect.Website Extraction For Beginners
    12 years ago

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    rejvi

    rejvi

    Good information, thank you.
    12 years ago

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    andreasjordan

    andreasjordan

    thx nice info
    11 years ago

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    Corzhens

    Corzhens

    This looks like an informative post except that it seems to be out of format. To be honest, I didn’t get any information because my eyes got strained by the too many question marks and the words are like bits of a big puzzle. Anyway, I hope you can repost this article in a clearer presentation for us to clearly understand. I am also wondering why all the comments above are positive as if I am the only one with myopic vision.
    8 years ago

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    Process Time: 0.28622698783875

    Possible Duplicate queries found!
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    SELECT * FROM `questions` as q JOIN categories_faq as c ON q.catid=c.CATID WHERE (q.status=1 OR (q.status=2 AND userid='') ) AND q.quesid='12097'1SELECT q.*, c.seo as CatSEO, c.name as CatName, c.parentid FROM `questions` as q JOIN categories_faq as c ON q.catid=c.CATID WHERE (q.status=1 OR (q.status=2 AND userid='') ) AND q.quesid='12097'

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    Tuning the following SQL could reduce the server load substantially
    LoadCountSQLMaxMin

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    The following SQL have high average execution times
    Avg TimeCountSQLMaxMin
    0.2963091SELECT A.*, B.seo, B.name as categoryname, C.username, C.userlevel, C.lastlogin, C.ip, C.profilepicture FROM wanttobuy A, categories_wanttobuy B, seoclerks.members C WHERE A.active = 1 AND A.category = B.CATID AND A.USERID = C.USERID ORDER BY A.bdays desc LIMIT 0,400.2963090.296309
    0.2961471SELECT A.*, B.seo, B.name as categoryname, C.username, C.userlevel, C.lastlogin, C.ip, C.profilepicture FROM wanttobuy A, categories_wanttobuy B, seoclerks.members C WHERE A.active = 1 AND A.category = B.CATID AND A.USERID = C.USERID ORDER BY A.viewcount desc LIMIT 0,400.2961470.296147
    0.2358931SELECT COUNT(A.wantid) AS total FROM wanttobuy as A, categories_wanttobuy B, seoclerks.members C WHERE A.active = 1 AND A.category = B.CATID AND A.USERID = C.USERID 0.2358930.235893
    0.1101931SELECT good, bad FROM seoclerks.ratings WHERE USERID='19740' AND PID != 00.1101930.110193