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      "author": "clementdes",
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      "title": "",
      "body": "Any chance you share your Zenno template ;) ?\nGreat job by the way. I'm a zenno newbie and it  made me laugh to read \"simple script\" looking at the size of this template, for me there isn't anything \"simple\" in that !\nAahahahah",
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      "author": "steemitboard",
      "permlink": "steemitboard-notify-jaroli-20191009t114406000z",
      "title": "",
      "body": "Congratulations @jaroli! You received a personal award!\n\n<table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@jaroli/birthday2.png</td><td>Happy Birthday! - You are on the Steem blockchain for 2 years!</td></tr></table>\n\n<sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@jaroli) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=jaroli)_</sub>\n\n\n**Do not miss the last post from @steemitboard:**\n<table><tr><td><a href=\"https://steemit.com/steemfest/@steemitboard/the-new-steemfest-badge-is-ready\"><img src=\"https://steemitimages.com/64x128/https://cdn.steemitimages.com/DQmRUkELn2Fd13pWFkmWU2wBMMx39EBX5V3cHBEZ2d7f3Ve/image.png\"></a></td><td><a href=\"https://steemit.com/steemfest/@steemitboard/the-new-steemfest-badge-is-ready\">The new SteemFest⁴  badge is ready</a></td></tr></table>\n\n###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes!",
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      "parent_permlink": "seo",
      "author": "jaroli",
      "permlink": "link-checker-script-for-directory-link-building",
      "title": "Link checker script for directory link building",
      "body": "@@ -1,8 +1,339 @@\n+**Sharing my directory link checker script which helped me to easily check link approvals in any kinds of web directories, thus helping me to automate the tedious work of creating reports on mass link building campaigns with traditional link directories where the URL of the subpage of the approved link could not be predicted.**%0A%0A\n Six year\n",
      "json_metadata": "{\"tags\":[\"seo\",\"online\",\"marketing\",\"linkbuilding\",\"zennoposter\"],\"image\":[\"https://steemitimages.com/DQmUBmGLhpCZFaycK8DKQPkGUoLCiLgDtDx7Yf2kWuACZM9/link-checker-algo-ok-no.png\",\"https://steemitimages.com/DQmdXsUkSRcCyCbGSXwaUKUcpVpcswi8s77yUo13A53uqEE/link-checker-algo-schematic.png\",\"https://steemitimages.com/DQmXgNJHjAoH8WiWTffMHvtifswW1ZjUaZufKoqgGu1gApY/link-checker-algo-zenno-3-zenno-5.png\"],\"links\":[\"http://www.zennolab.com/en/products/zennoposter/pid/68e90089-79be-4090-a3b4-818b3995924a\",\"http://www.jaroli.hu/wp-content/uploads/2018/01/directory-link-checker-v35-jaroli-hu.zip\",\"https://creativecommons.org/licenses/by-sa/4.0/\",\"http://www.jaroli.hu\"],\"app\":\"steemit/0.1\",\"format\":\"markdown\"}"
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      "author": "jaroli",
      "permlink": "link-checker-script-for-directory-link-building",
      "title": "Link checker script for directory link building",
      "body": "Six years ago, when we were pretty much in mass link building and link directory submissions, this script literally substituted a half-time employee, as it helped us to automatically check the presence of our links on various link directory sites. Although there are a couple of link checkers covering the use case when you know the specific URLs where to look for your links or an entire site is to be crawled in search of a link, but my directory link checker script does something different. You just have to enter the list of link directory domains where your links have been submitted and this script just tells you if those links have already been approved or not. This proved to be a very handy script for creating link building reports for our clients.\n\n![Link checker algorhytm overview](https://steemitimages.com/DQmUBmGLhpCZFaycK8DKQPkGUoLCiLgDtDx7Yf2kWuACZM9/link-checker-algo-ok-no.png)\n\n# My very first web automation script\n\nIt took more than a week to write this script, and finally, when it was ready, It took again a week to re-write the whole thing from the ground up again. Way back then the challenge was that in many link directories you would never know the URL of the subpage where your submitted link showed up once it had been approved, so the only thing you could do is to check the mailboxes used for link building and go through the emails which were about submission approvals, plus open the sites and checking whether the links are already online – all of this made by hand. Obviously, gathering the list of successful submissions meant a lot of manual labour. \n\n*(The link submission process itself was already highly automated as we had been using a semi-automated link directory submission software, which meant a good compromise between speed and accuracy —as before submitting the links, we could choose the best category by hand, or enter appropriate data in a couple of directory-specific submission form fields.)*\n\n# The logic of the link checking process\n\n![link-checker-algo-schematic.png](https://steemitimages.com/DQmdXsUkSRcCyCbGSXwaUKUcpVpcswi8s77yUo13A53uqEE/link-checker-algo-schematic.png)\n\n## Using search engines to find the links\nAs the above, simplified diagram outlines, the script first scrapes the search engine search results restricted to the link directory domain, using search expressions like:\n*promoteddomain.com site:linkdirectorydomain.com*\nIt crawls all the URLs listed as a result for these queries and if a link is found there, it logs the data of the successful link submission, loads the following link directory domain name and starts the process again.\n\n## Searching with the site search function of link directories\nBut if it fails to find traces of the submitted links with a web search engine (for instance Google or Bing), then it attempts to make a site search on the link directory page itself. As some directories are already linking the promoted domain from the search result page, the script might already succeed here. But if not, it starts to loop through the subpages listed as search results, loading each of these pages and checking the presence of the outgoing links pointing to the promoted domains.\n\n## Figuring out which internal links are search results\nI could have created a database for each link directory, specifying the necessary parameters for doing a site search and evaluating it. Figuring out these parameters for each directory site, such as the search query URL schema and the regular expression to identify which internal URLs are search results on a site search result page. In this case the script could quickly and efficiently check the presence of links in the already known link directories, but the problem was that we had been constantly adding a lot of new directories to our database, plus as we had been doing link building in many different languages, it would have meant a lot of extra work to create and maintain such a database of parameters for thousands of link directories.\n\nTherefore, I opted for a slower, brute-force solution which meant at least one extra query: searching for something nonsense, random string (such as the date and time), which ensured that no search results were displayed for it. Comparing the internal links of this with the normal search result pages, the difference shows us which internal links are search results, and which are other navigational, e.g. header or footer links of the page template.\n\n# The detailed link checking process\nThe below process seems to be a lot more complicated than the previous one, but there are good reasons for it. Mostly because I wanted to include certain modules only once, and re-use them as much as possible so that later on I could easily add improvements to the process. Interacting with many different kinds of websites is always a tricky issue, something you have to constantly refine. For instance, your regular expression does a perfect job on hundreds of sites but eventually fails on a specific web page.\n\n![Link checker algorhytm overview](https://steemitimages.com/DQmUBmGLhpCZFaycK8DKQPkGUoLCiLgDtDx7Yf2kWuACZM9/link-checker-algo-ok-no.png)\n\n## Identifying search forms\nOn the other hand, there is a second trick apart from figuring out the search result links, that is how to find out which form is a search form, and what should be done to submit that search query? Here again, I opted for the brute-force solution: the script enumerates all the forms on the link directory home page and tries to submit these forms using search queries like the *promoteddomainname.com* or *{specific keyword combinations used in link submission texts}*. If upon submitting the first form, there will be no results —just because the submitted link is not yet listed in the directory— it attempts to submit the second form, even if it is a login form.\n\n## Attempting to submit forms\nSimilarly, if the submit button can be easily found, the script attempts to submit the form by either clicking on other elements where chances are high that it could submit the search form with or emulating the keystroke of the enter button while the cursor is in the search field, etc.\n\n## Loops\nAs you can see, there are a lot of loops in this process given the brute-force nature of the script. First, it loads the link directory to work with, then it loops through the search keywords you will use to find traces of your submitted links (at least there should be two expressions: the promoted domain name itself and a specific brand or a very specific keyword combination you have included in any link submission text you have spun —something to take into consideration as early as setting up your link submission project.)\n\n## Controls\nThere are subsequent steps like *home*, *search*, *list* (not always a meaningful nomenclature, but nevermind). In every step, a different module is called. If the module exits with success then it returns to the OK branch, if not, then to the NO branch. Depending on the value of the *step* variable, these two branches point to different modules, that is if it could not succeed with one search method then it goes on to try another one.\n\n# Your very own free link checker script\nThe script has been created with [ZennoPoster](http://www.zennolab.com/en/products/zennoposter/pid/68e90089-79be-4090-a3b4-818b3995924a), a powerful web automation tool, so first, you have to get and install this wonderful piece of software. [Then click here to download the script.](http://www.jaroli.hu/wp-content/uploads/2018/01/directory-link-checker-v35-jaroli-hu.zip)\n\nFeel free to use, adapt and re-share it under the following terms: https://creativecommons.org/licenses/by-sa/4.0/ and please point a link to this page or to http://www.jaroli.hu.\n\n# Notes\nIf you already know ZennoPoster and/or find some of the solutions quite odd: Well, the script was originally written with ZennoPoster 3 way back in 2012, but soon afterwards an entirely rewritten ZennoPoster was brought to the market, with a lot of new concepts and many advancements in debugging, therefore I had to rewrite the entire script, but I just wanted to keep the changes to the minimum, like using lists instead of files or using switch boxes instead of a series of if boxes: as you can observe in the below screen capture which shows the imported Zenno3 script along with the recently rewritten one.\n![Directory link checker script: ZennoPoster3 version imported to ZennoPoster5](https://steemitimages.com/DQmXgNJHjAoH8WiWTffMHvtifswW1ZjUaZufKoqgGu1gApY/link-checker-algo-zenno-3-zenno-5.png)",
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      "title": "How Google search result pages evolved over the last few years – An interesting example with two screenshots",
      "body": "@@ -2544,16 +2544,31 @@\n ters in \n+the history of \n online b\n",
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      "title": "How Google search result pages evolved over the last few years – An interesting example with two screenshots",
      "body": "![google-serp-budapest-hotel-old-new.png](https://steemitimages.com/DQmQgBSx3cxS2t92Rh6Dn1z57dsNZnV7VZPfPNjcJmJTBzm/google-serp-budapest-hotel-old-new.png)\nI have just come across an old screenshot of a Google result page while tidying up my files, and I could not resist comparing with how the search engine result page looks now.  It clearly illustrates how Google search engine evolved over the years, and what impact this evolution has on how effective online marketing is done nowadays. This pair of screenshots showing the result page for the expression: *budapest hotel*, which is, of course, a very competitive search keyword.\nThe first thing you probably notice, apart from the cleaner look, is that the page does not fit on a 1024 pixel wide screen — a screen resolution commonly used by web designers as the minimum width ten years ago. But beyond this kind of web design issues, there are a couple of substantial, and I would say by far more important differences too.\n\n![google-talalati-rangsora-budapest-hotel-uj-2017-dec.png](https://steemitimages.com/DQmYwbMwuZ5ZwhFQUtzT6kCZh3vTvoY4gUskiFy6xX6tuJ9/google-talalati-rangsora-budapest-hotel-uj-2017-dec.png)\n\n# No organic results above the fold\nWhile the old screenshot shows four non-paid search results, filling up almost the half of the screen real estate used to display results, the contemporary screen capture displays no ordinary search results above the fold, not even on bigger screens with full HD resolutions.\n\nDuring those good old days, if you were clever enough, you could get a considerable exposure in Google search results, while these days you have to rely on paid online campaigns, just because otherwise you cannot get before the eyes of your audience. On the above screenshot, you can observe how the paid results, a knowledge panel on the side, and the hotel search on the map pushes down the first organic search results way below the fold. Meanwhile, in the old screenshot below, you can spot non-paid result snippets of an old-school hotel booking site and a website of a hotel aptly named \"Hotel Budapest\". \n\n_By the way, these owners of these first-generation hotel listing/booking pages were among the first ones who were actively doing SEO in Hungary. They have been optimized either by the owner of a hotel or some apartments or their in-house expert, heavily relying on automated mass link exchange schemes and other, now obsolete techniques. They have been wiped out by a Google algorithm update, way before booking.com and Airbnb started new chapters in online booking._\n\n![google-talalati-rangsora-budapest-hotel-regi.png](https://steemitimages.com/DQmUPQ5KGQ8eezWqWAZCswUXTLJw5ZV7FxRxTY9J4Nxs7EJ/google-talalati-rangsora-budapest-hotel-regi.png)\n\n# Google wants to keep users in its walled garden\nAlthough Google itself still does not create content, the tendency is clear, just as it was obvious ten years ago too: more and more web content is to be scraped, processed and displayed in a structured format on Google's own web pages, thus more and more answers are given on the search result pages itself, therefore the content creators are rewarded with fewer and fewer clickthroughs by Google.  \nYou can observe how the hotel offers are listed on a map, how the different prices from the booking portals and the hotel web pages are blended in search results, and how the whole thing is enriched by user reviews and other additional information hosted by the Google My Business service.\nIt can be easily seen that this ”movement” provides a more seamless experience for the search engine users but means a lot of drawbacks for the webmasters aiming for getting organic, that is free traffic from one of the most popular websites of our time.\n\n# Some more tidbits\nIt's also funny to see that while a couple of years ago there was only  948 000 results reported, nowadays there are approximately 8 210 000 results estimated – almost ten times more.\nThis might be the reason for a ”slower” result generation time: instead of 0,26 seconds, it took almost three times longer, a whopping 0,69 seconds. :)",
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      "title": "How Google search result pages evolved during the last few years – An interesting example with two screenshots",
      "body": "![google-serp-budapest-hotel-old-new.png](https://steemitimages.com/DQmQgBSx3cxS2t92Rh6Dn1z57dsNZnV7VZPfPNjcJmJTBzm/google-serp-budapest-hotel-old-new.png)\nI have just come across an old screenshot of a Google result page while tidying up my files, and I could not resist comparing with how the search engine result page looks now.  It clearly illustrates how Google search engine evolved over the years, and what impact this evolution has on how effective online marketing is done nowadays. This pair of screenshots showing the result page for the expression: *budapest hotel*, which is, of course, a very competitive search keyword.\nThe first thing you probably notice, apart from the cleaner look, is that the page does not fit on a 1024 pixel wide screen — a screen resolution commonly used by web designers as the minimum width ten years ago. But beyond this kind of web design issues, there are a couple of substantial, and I would say by far more important differences too.\n\n![google-talalati-rangsora-budapest-hotel-uj-2017-dec.png](https://steemitimages.com/DQmYwbMwuZ5ZwhFQUtzT6kCZh3vTvoY4gUskiFy6xX6tuJ9/google-talalati-rangsora-budapest-hotel-uj-2017-dec.png)\n\n# No organic results above the fold\nWhile the old screenshot shows four non-paid search results, filling up almost the half of the screen real estate used to display results, the contemporary screen capture displays no ordinary search results above the fold, not even on bigger screens with full HD resolutions.\n\nDuring those good old days, if you were clever enough, you could get a considerable exposure in Google search results, while these days you have to rely on paid online campaigns, just because otherwise you cannot get before the eyes of your audience. On the above screenshot, you can observe how the paid results, a knowledge panel on the side, and the hotel search on the map pushes down the first organic search results way below the fold. Meanwhile, in the old screenshot below, you can spot non-paid result snippets of an old-school hotel booking site and a website of a hotel aptly named \"Hotel Budapest\". \n\n_By the way, these owners of these first-generation hotel listing/booking pages were among the first ones who were actively doing SEO in Hungary. They have been optimized either by the owner of a hotel or some apartments or their in-house expert, heavily relying on automated mass link exchange schemes and other, now obsolete techniques. They have been wiped out by a Google algorithm update, way before booking.com and Airbnb started new chapters in online booking._\n\n![google-talalati-rangsora-budapest-hotel-regi.png](https://steemitimages.com/DQmUPQ5KGQ8eezWqWAZCswUXTLJw5ZV7FxRxTY9J4Nxs7EJ/google-talalati-rangsora-budapest-hotel-regi.png)\n\n# Google wants to keep users in its walled garden\nAlthough Google itself still does not create content, the tendency is clear, just as it was obvious ten years ago too: more and more web content is to be scraped, processed and displayed in a structured format on Google's own web pages, thus more and more answers are given on the search result pages itself, therefore the content creators are rewarded with fewer and fewer clickthroughs by Google.  \nYou can observe how the hotel offers are listed on a map, how the different prices from the booking portals and the hotel web pages are blended in search results, and how the whole thing is enriched by user reviews and other additional information hosted by the Google My Business service.\nIt can be easily seen that this ”movement” provides a more seamless experience for the search engine users but means a lot of drawbacks for the webmasters aiming for getting organic, that is free traffic from one of the most popular websites of our time.\n\n# Some more tidbits\nIt's also funny to see that while a couple of years ago there was only  948 000 results reported, nowadays there are approximately 8 210 000 results estimated – almost ten times more.\nThis might be the reason for a ”slower” result generation time: instead of 0,26 seconds, it took almost three times longer, a whopping 0,69 seconds. :)",
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      "body": "@@ -1117,29 +1117,26 @@\n e I've just \n-bough\n+go\n t a couple o\n@@ -2651,19 +2651,16 @@\n s quite \n-an \n interest\n@@ -2673,16 +2673,18 @@\n adows on\n+to\n  the cei\n",
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      "body": "@@ -359,16 +359,120 @@\n des too.\n+%0A!%5BIMG_0758.JPG%5D(https://steemitimages.com/DQmdzSTPXCsXV5jx7mTQ3t35zyZwwLFYFBv5bo79uQxE3k3/IMG_0758.JPG)\n %0A%0A# Take\n",
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      "body": "As nowadays you can buy so many different types of LED filament bulbs and all sorts of chord sets for pendant lamps,  there is quite a big temptation for the DIY-minded folks to hang their own designs instead of buying a ready-made piece of pendant light or chandelier. At least, I could not resist, so I ended up creating lamps with non-conventional lampshades too.\n\n# Take one — Just chords and bulbs\nFirst, I have just bought a triple chord set and three 400lm LED filament bulbs. As we needed a quick solution, I have just started to play around with weaving the chords. Better than nothing, but I guess I will eventually change this for something slightly more sophisticated. While you don't need to have a lampshade for this kind of bulbs, 1200 lumens aren't too much for a bigger room like ours.\n![Ikea Hemma triple pendant light with Ikea Lunnom LED filament bulbs](https://steemitimages.com/DQmZhT6u5Myj68cougYmw9FPtgjwbf77GwSiqmFzsqkagRK/IMG_0745.JPG)\n\n# Take two — Non-conventional lamp shade\nNext time I've just bought a couple of vintage-looking [colanders](http://www.ikea.com/gb/en/products/cookware/kitchen-utensils/gemak-colander-off-white-art-20233541/) from IKEA and all the other stuff from a local DIY store. All I had to do is to drill a bigger hole in the colanders for the fittings; plus cut and connect the cables. First I opted for conventional size 1000lm filament LED light bulbs, but these were just too bright and glaring, so I replaced them with three 400lm bulbs – of the smallest size you could buy.\n![Ikeahack pendant light with Ikea Gemak colander lampshades](https://steemitimages.com/DQmd3EYxK4TBgLpuzYbSk5EdCSv6Cjy1RqRP6NzyMscvvED/IMG_0669.JPG)\n\n# Take three – Abstract lampshade\nThinking about the next lamp I needed to install I was quite sure that I would use the surplus dry cleaner wire hangers we accumulated during the last couple of years, so I started to tinker with them. As it was intended for our low-ceiling bedchamber, I just needed something small and simple with just a single light bulb, so I just bought an [IKEA Hemma](http://www.ikea.com/nl/nl/catalog/products/70354328/) chord set, a [big Lunnom bulb](http://www.ikea.com/gb/en/products/lighting/light-bulbs-accessories/lunnom-led-bulb-e27-400-lumen-dimmable-globe-brown-clear-glass-art-40342836/) again, and started to sculpture something out of my wire hangers, fixing them with small wires which were sold with dustbin bags. Although it ended up as a rather abstract –from some perspectives quite chaotic– wireframe lampshade, it projects quite an interesting shadows on the ceiling.\n![Dry cleaner wire hanger lamp with Ikea Lunnom filament LED bulb](https://steemitimages.com/DQmcbCfWwA7Xy7UCdJVAiX2mrKjunYPKkhmAepXKAXDgtT3/IMG_0768.JPG)\n\n# Some more photos\nI hope these photos will give you some inspiration to build your own lamps one day.\n![Ikeahack pendant lamp](https://steemitimages.com/DQmaLxigNHsNiH4GBPvR6LhZkscLQ4aRGf5RCEgMN2M9gsv/IMG_0736.JPG)\n![Ikea hack pendant lamp](https://steemitimages.com/DQmbqqRshx4MDuyJq1JkJimZmrk9F4RWjphi2gEGd1wwhvC/IMG_0702.JPG)\n![Ikeahack pendant light](https://steemitimages.com/DQmYC2VpQ2Ch5p515jF5YRSFZ74gGeVf2QAVPdVRjbJr8GY/IMG_0746.JPG)",
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      "body": "@@ -1,41 +1,4 @@\n-# Systematic Job Search on LinkedIn%0A%0A\n Link\n",
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      "body": "# Systematic Job Search on LinkedIn\n\nLinkedIn is a really cool platform when it comes to job search—or looking for your next step in your career, whatever. But what can you do when the site lacks a couple of vital features, and therefore it just wastes your time unnecessarily? Plus, how can you make sure that you have seen all the potentially interesting job offers when there are a couple of hundreds of positions available in your region?\n\n# Reading through hundreds of job offers?\n\nYes, I might be in a unique situation, where many circumstances just do not matter that much, so perhaps I keep more on my radar and browse through more adverts than an ordinary—or a casual job hunter. And this is where my problem is rooted: it is just too cumbersome to regularly check new job adverts on LinkedIn. Imagine that you have to enter many keywords one by one, then enter the location, set the desired distance radius, sort them by the date and start scrolling through the list, click each job offer which might seem interesting—judged by the search result page excerpt. Usually, you end up checking many ads you have already seen, again and again.\n\n# Save button for Job offers is just not enough\n\nThe whole process could be much easier with a simple feature like a button next to the Save/Unsave button with the text ”That’s not for me” or simply “Hide”. Luckily, I can quickly write a script with a web automation software to implement some of the missing functions of LinkedIN—or any other web site. However, the vast majority of ZennoPoster or Ubot Studio users are using these pieces of software to build bots which scrape a considerable amount of information from LinkedIn (something that LinkedIn hates and tries to prevent as much as possible), but you can use these tools for legitimate purposes too: to hack together something which provides you with the missing features.\n\n# It will not work with Ubot Studio alone\n\nUbot Studio has a nice feature I needed. It allows you to combine a web browser window with an additional user interface for data input, therefore I had initially started to implement this simple script in Ubot. Unfortunately, again I found some very basic obstacles which prevented me from building anything usable. *< rant begins > To be honest, Ubot is just the least stable piece of software I have ever seen. If you take into consideration its price too, I think Ubot could be nominated for the title of the most time and money wasting application ever. I have already wasted so much time because of its frequent crashes, inability to deal with certain types of websites, unpredictable behavior, etc., that I always regret when I pay for an upgrade again. As I mentioned there are only two features why I still keep on struggling with this tool: the additional user interface and the ability to easily compile standalone .exe files for the bots. All in all, if I logged in to LinkedIN, Ubot just could not detect anything on the web page loaded, and tech support had no solution for that either — which is a shame and gives me the feeling that something is just screwed up with this tool from the ground up. < rant ends >*\n\n# Let’s write two scripts then!\n\nThis is why I fired up ZennoPoster, and put together a simple script—without any problems. It logs in to my LinkedIN profile, sets the location and enters the keywords for job search, like online marketing, digital marketing, social media, google, facebook, adwords, seo, hongarije, hongaars, archicad, spanish, hungarian, hungary, marketing, marketeer, etc. Then it goes through the search results list by clicking on the pagination links, and scrapes all the job advert links to a plain text list ensuring that the link is not already listed among those which have been checked previously. It also checks the presence of the keywords on the exclusion list, such as recruit, stage, stagiair, intern, php(\\ |-), javascript, frontend, backend, front-end, back-end, webdeveloper, \\.net\\, etc. and omit these job offers obviously not made for me.\n\n![](https://steemitimages.com/DQma1qD6znVtR2NrWZtM378JhxBGg6eCL1PFrz1RA52jydH/image.png)\n\n\n\n#  Step #2 – back to Ubot Studio!\n\nNow, I have a URL list of all the job offers which have certain chance to be promising for me. The next step is to read through them as quickly as possible—we are talking about hundreds of job offers. Sometimes there are many false positives: for instance, if a recruiter company includes phrases like ”visit our Facebook page”, in each of their job descriptions, then the fact that I am looking for Facebook-related jobs with the ”facebook” keyword just makes everything much more difficult. In addition to that, I could find a couple of interesting job offers which did not match any of the specific keywords like ”online marketing”, only the very generic ones like ”marketing”.\n\n![](https://steemitimages.com/DQmQ2TNYHjofRDSi4nFn1KZDRixeY2Yv9Q4R4wvLtfnE8Zx/image.png)\n\nI have already had similar, very simple bots written in Ubot for going through a long list of URLs to add feedback to every loaded web page and save back the URLs with the manually added data. (Think about quickly tagging or writing titles for hundreds of products in a web shop while understanding what those products are really about.) So I just quickly modified an older script. It just loads one job offer page, waits until I click an appropriate check box: either ”Interesting” or ”Delete, and then it automatically loads the next web page while administering the process by adding the URL to the list of URLs already checked plus to the list of interesting job adverts if I clicked the corresponding box. With this method I could so quickly go through hundreds of job offers that once LinkedIn thought I am a bot (as I was logged in, since I also wanted to save some of the interesting jobs), and practically did not let me do anything without solving those silly captchas again about cars, roads and road signs, so I had to give up using LinkedIn for a day or so.\n\n![](https://steemitimages.com/DQmfFqHiK9aeEsw3s8DXHKU65uBkg5Dd2w4zo4QpfPburNM/image.png)\n\nFor someone who cannot just that quickly write web automation scripts, it might not have been worth setting up an automation hack for this case, but for me, I think it was worth it. On one hand, I guess the fact that I don’t speak Dutch (yet) will make my job hunting a little bit longer than the average, so it will save a lot of time for me. On the other hand by reading through so many job descriptions, now I have a better understanding of what kind of jobs are available in The Hage area",
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