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i was able to edit correctly and get the characters to look how i wanted, i used start_time and start_date to get the version of those i needed, and i even added timezone for clearification further on the automation needs moving forward for reference. So i see how you used $i the i believe its $i++ was that to say count incrementally higher ? and if so is this same thing possible only using a-z intead of 0-9

This is what I was looking for: $jsondata = file_get_contents("https://kalebdf.com/flo/api.php?url=events%2Fnow-and-upcoming%3Flimit%3D70%26tz%3DAmerica%2FNew_York%26live_only%3D1%26site_id%3D1%252C2%252C3%252C4%252C5%252C6%252C7%252C8%252C9%252C10%252C11%252C12%252C13%252C14%252C15%252C16%252C17%252C18%252C19%252C20%252C21%252C22%252C23%252C24%252C25%252C26%252C27%252C28%252C29%252C30%252C31%252C32%252C33%252C34%252C35%252C36%252C37%252C38%252C39%252C41%252C43"); $json = json_decode($jsondata, true); var_dump($json['data']); Now that we can see your source json, this is obviously a huge result. I'm not sure that turning this into a gigantic array is helpful because it's such a large json data structure with many keys. However, in general you can determine what is going to happen based on whether the json has an array structure ie [ ] or a property "somename": "some_value" The original json has many of these properties. If something is inside a json array, then it will be turned into a numerically indexed array: $var[0], $var[1] etc. Unless you know which specific array element you need, typically you're going to foreach() loop through them. If the original json is a property then the property name is going to be turned into an array key, with the associated value stored in the array element. That value could be a nested object: { }, a single value, or an array. And in each case there is possible nesting. If you understand the basics of this, you should be able to look at the original json and figure out how it will be converted. In your case, when we var_dump($json['data']) the top level is revealed to be a giant numerically indexed array: You are foreach()ing through this array. So to get an idea of what just one looks like, it's helpful to var_dump the first one: var_dump($json['data'][0]); This shows the nested structure for each array element you'll get when you foreach through the outer structure: array(41) { ["id"]=> int(6251309) ["should_show_read_more"]=> bool(true) ["ad_set_code"]=> NULL ["slug_uri"]=> string(33) "/events/6251309-2019-giro-ditalia" ["title"]=> string(18) "2019 Giro d'Italia" ["short_title"]=> string(13) "Giro d'Italia" ["seo_description"]=> string(122) "Tune in to FloBikes for complete editorial coverage and to watch every stage of the 2019 Giro d'Italia live and on demand!" ["author"]=> array(10) { ["profile_picture_url_small"]=> string(86) "https://res.cloudinary.com/diznifoln/image/upload/w_100,h_100/oz7rkl8ihbds5yb20ujn.png" ["profile_picture_url_medium"]=> string(86) "https://res.cloudinary.com/diznifoln/image/upload/w_125,h_125/oz7rkl8ihbds5yb20ujn.png" ["profile_picture_url_large"]=> string(86) "https://res.cloudinary.com/diznifoln/image/upload/w_150,h_150/oz7rkl8ihbds5yb20ujn.png" ["id"]=> int(1625830) ["username"]=> string(10) "JoeBatts75" ["first_name"]=> string(3) "Joe" ["last_name"]=> string(9) "Battaglia" ["gender"]=> string(1) "m" ["created_at"]=> string(24) "2014-04-10T14:03:26+0000" ["modified_at"]=> string(24) "2019-02-04T16:24:23+0000" } ["asset"]=> array(14) { ["id"]=> int(6456733) ["title"]=> string(53) "El-Giro-de-Italia-2018-comenzará-en-Jerusalén.jpg" ["description"]=> NULL ["credit"]=> NULL ["source"]=> string(71) "//flo30-assets-prod.s3.amazonaws.com/uploads/FloBikes/5ba8fda8b17eb.png" ["site"]=> array(13) { ["domain"]=> string(16) "www.flobikes.com" ["id"]=> int(37) ["name"]=> string(8) "FloBikes" ["code"]=> string(8) "flobikes" ["host"]=> string(23) "http://www.flobikes.com" ["active"]=> bool(true) ["type"]=> string(4) "site" ["version"]=> int(3) ["color"]=> string(7) "#FF8200" ["hero_image"]=> string(86) "https://d6fm3yzmawlcs.cloudfront.net/mobileVerticalBackground/mobile_bg_flocycling.jpg" ["modified_at"]=> NULL ["show_on_mobile"]=> bool(true) ["sport_name"]=> string(7) "Cycling" } ["url"]=> string(55) "https://d2779tscntxxsw.cloudfront.net/5ba8fda8b17eb.png" ["library"]=> bool(true) ["status_code"]=> int(200) ["path"]=> string(77) "https://flo30-assets-prod.s3.amazonaws.com/uploads/FloBikes/5ba8fda8b17eb.png" ["copied"]=> bool(true) ["duplicated"]=> bool(false) ["created_at"]=> string(24) "2018-09-24T15:07:21+0000" ["modified_at"]=> string(24) "2018-10-13T08:09:22+0000" } ["logo"]=> NULL ["slug"]=> string(17) "2019-giro-ditalia" ["publish_start_date"]=> string(24) "2018-09-24T15:26:00+0000" ["publish_end_date"]=> NULL ["status"]=> int(1) ["status_text"]=> string(18) "Active - Published" ["status_color"]=> string(7) "#CDEB8B" ["premium"]=> bool(false) ["node"]=> array(13) { ["categories"]=> array(3) { [0]=> array(5) { ["id"]=> int(605) ["name"]=> string(4) "Road" ["parent"]=> array(5) { ["id"]=> int(602) ["name"]=> string(10) "Discipline" ["parent"]=> NULL ["created_at"]=> string(24) "2018-02-02T17:47:21+0000" ["modified_at"]=> NULL } ["created_at"]=> string(24) "2018-02-02T17:47:34+0000" ["modified_at"]=> NULL } [1]=> array(5) { ["id"]=> int(612) ["name"]=> string(12) "Professional" ["parent"]=> array(5) { ["id"]=> int(603) ["name"]=> string(11) "Rider Level" ["parent"]=> NULL ["created_at"]=> string(24) "2018-02-02T17:47:21+0000" ["modified_at"]=> NULL } ["created_at"]=> string(24) "2018-02-02T17:47:53+0000" ["modified_at"]=> NULL } [2]=> array(5) { ["id"]=> int(621) ["name"]=> string(8) "UCI 2.WT" ["parent"]=> array(5) { ["id"]=> int(604) ["name"]=> string(10) "Race Level" ["parent"]=> NULL ["created_at"]=> string(24) "2018-02-02T17:47:21+0000" ["modified_at"]=> NULL } ["created_at"]=> string(24) "2018-02-02T17:48:48+0000" ["modified_at"]=> NULL } } ["primary_event_association"]=> NULL ["primary_event_or_series_association"]=> NULL ["people"]=> array(0) { } ["teams"]=> array(0) { } ["id"]=> int(6251309) ["current_revision"]=> NULL ["site"]=> array(13) { ["domain"]=> string(16) "www.flobikes.com" ["id"]=> int(37) ["name"]=> string(8) "FloBikes" ["code"]=> string(8) "flobikes" ["host"]=> string(23) "http://www.flobikes.com" ["active"]=> bool(true) ["type"]=> string(4) "site" ["version"]=> int(3) ["color"]=> string(7) "#FF8200" ["hero_image"]=> string(86) "https://d6fm3yzmawlcs.cloudfront.net/mobileVerticalBackground/mobile_bg_flocycling.jpg" ["modified_at"]=> NULL ["show_on_mobile"]=> bool(true) ["sport_name"]=> string(7) "Cycling" } ["view_count"]=> int(100740) ["legacy_id"]=> NULL ["search_indexed_at"]=> string(24) "2019-05-22T12:13:40+0000" ["created_at"]=> string(24) "2018-09-24T15:27:50+0000" ["modified_at"]=> string(24) "2019-05-22T12:13:40+0000" } ["enable_interstitial_ad"]=> bool(true) ["enable_pre_roll_ads"]=> bool(true) ["shareable_link"]=> string(57) "https://www.flobikes.com/events/6251309-2019-giro-ditalia" ["created_at"]=> string(24) "2018-09-24T15:27:50+0000" ["modified_at"]=> string(24) "2019-05-22T12:04:37+0000" ["has_schedule"]=> bool(true) ["preview_text"]=> string(217) "<p>The 2019 Giro d’Italia is a UCI World Tour event. Tune in to FloBikes for a complete editorial coverage and to watch every stage of the 2019 Giro d'Italia live and on demand, available in the U.S. and Canada.</p>" ["description"]=> string(225) "<p>The 2019 Giro d&rsquo;Italia is a UCI World Tour event. Tune in to FloBikes for a complete editorial coverage and to watch every stage of the 2019 Giro d&#39;Italia live and on demand, available in the U.S. and Canada.</p>" ["city"]=> string(7) "Bologna" ["region"]=> NULL ["country"]=> string(2) "IT" ["venue"]=> NULL ["start_date"]=> string(10) "2019-05-11" ["end_date"]=> string(10) "2019-06-02" ["schedule_tab_label"]=> string(8) "Schedule" ["participant_tab_label"]=> string(7) "Entries" ["live_updates_tab_label"]=> string(12) "Live Updates" ["info_tab_label"]=> string(4) "Info" ["live_event"]=> array(33) { ["event_ids"]=> array(1) { [0]=> int(6251309) } ["start_at"]=> string(20) "2019-05-22T11:05:00Z" ["end_at"]=> string(20) "2019-06-03T03:59:59Z" ["id"]=> int(8778) ["title"]=> string(18) "2019 Giro d'Italia" ["short_title"]=> string(13) "Giro D'Italia" ["stream1"]=> string(26) "cyp8778_2019_giro_d_italia" ["stream2"]=> string(26) "cyp8778_2019_giro_d_italia" ["stream_list"]=> array(2) { [0]=> array(7) { ["stream_id"]=> int(18633) ["stream_name"]=> string(18) "2019 Giro d'Italia" ["stream_code"]=> string(26) "cyp8778_2019_giro_d_italia" ["stream_active"]=> bool(true) ["stream_hls"]=> string(68) "http://flocasts-hls.videocdn.scaleengine.net/flocasts-florigins/play" ["stream_type"]=> string(8) "multiple" ["stream_mode"]=> string(6) "normal" } [1]=> array(7) { ["stream_id"]=> int(25651) ["stream_name"]=> string(13) "Giro d'Italia" ["stream_code"]=> string(21) "cyp8778_giro_d_italia" ["stream_active"]=> bool(false) ["stream_hls"]=> string(68) "http://flocasts-hls.videocdn.scaleengine.net/flocasts-florigins/play" ["stream_type"]=> string(8) "multiple" ["stream_mode"]=> string(6) "normal" } } ["slug"]=> string(18) "2019-giro-d-italia" ["description"]=> string(79) "<p> <span style="background-color: initial;">2019 Giro d'Italia</span> </p>" ["premium"]=> bool(true) ["ppv"]=> bool(false) ["disable_bumping"]=> bool(false) ["disable_login"]=> bool(false) ["enable_ott"]=> bool(true) ["status"]=> string(4) "LIVE" ["status_message"]=> NULL ["type"]=> string(6) "STREAM" ["start_date"]=> string(10) "2019-05-22" ["end_date"]=> string(10) "2019-06-02" ["start_time"]=> string(8) "07:05:00" ["end_time"]=> string(8) "23:59:59" ["timezone"]=> string(16) "America/New_York" ["start_date_time"]=> string(24) "2019-05-22T11:05:00+0000" ["end_date_time"]=> string(24) "2019-06-03T03:59:59+0000" ["start_at_next"]=> string(24) "2019-05-22T11:05:00+0000" ["background_url"]=> NULL ["live_event_url"]=> string(34) "https://www.flobikes.com/live/8778" ["player_version"]=> string(3) "3.0" ["dvr"]=> bool(false) ["created_at"]=> string(24) "2019-05-22T12:04:56+0000" ["modified_at"]=> string(24) "2019-05-22T12:04:56+0000" } ["watchable"]=> bool(true) ["replay_video_count"]=> int(10) ["replay_preview_vod"]=> NULL ["type"]=> string(5) "event" } Sometimes it's useful in such a large structure just to see the list of top level array keys. PHP has a helpful array_keys() function for this. Also, print_r has a slightly different output format from var_dump that omits the variable types. Just to get some clarity, I ran this: $json = json_decode($jsondata, true); $t = array_keys($json['data'][0]); sort($t); print_r($t); And got this output: Array ( [0] => ad_set_code [1] => asset [2] => author [3] => city [4] => country [5] => created_at [6] => description [7] => enable_interstitial_ad [8] => enable_pre_roll_ads [9] => end_date [10] => has_schedule [11] => id [12] => info_tab_label [13] => live_event [14] => live_updates_tab_label [15] => logo [16] => modified_at [17] => node [18] => participant_tab_label [19] => premium [20] => preview_text [21] => publish_end_date [22] => publish_start_date [23] => region [24] => replay_preview_vod [25] => replay_video_count [26] => schedule_tab_label [27] => seo_description [28] => shareable_link [29] => short_title [30] => should_show_read_more [31] => slug [32] => slug_uri [33] => start_date [34] => status [35] => status_color [36] => status_text [37] => title [38] => type [39] => venue [40] => watchable ) You had determined previously that the 2 top level elements you were interested in were 'title' and 'live_event'. 'title' is a single value, however live_event is another nested structure. To figure out what that looks like: var_dump($json['data'][0]['live_event']); And you get: array(33) { ["event_ids"]=> array(1) { [0]=> int(6251309) } ["start_at"]=> string(20) "2019-05-22T11:05:00Z" ["end_at"]=> string(20) "2019-06-03T03:59:59Z" ["id"]=> int(8778) ["title"]=> string(18) "2019 Giro d'Italia" ["short_title"]=> string(13) "Giro D'Italia" ["stream1"]=> string(26) "cyp8778_2019_giro_d_italia" ["stream2"]=> string(26) "cyp8778_2019_giro_d_italia" ["stream_list"]=> array(2) { [0]=> array(7) { ["stream_id"]=> int(18633) ["stream_name"]=> string(18) "2019 Giro d'Italia" ["stream_code"]=> string(26) "cyp8778_2019_giro_d_italia" ["stream_active"]=> bool(true) ["stream_hls"]=> string(68) "http://flocasts-hls.videocdn.scaleengine.net/flocasts-florigins/play" ["stream_type"]=> string(8) "multiple" ["stream_mode"]=> string(6) "normal" } [1]=> array(7) { ["stream_id"]=> int(25651) ["stream_name"]=> string(13) "Giro d'Italia" ["stream_code"]=> string(21) "cyp8778_giro_d_italia" ["stream_active"]=> bool(false) ["stream_hls"]=> string(68) "http://flocasts-hls.videocdn.scaleengine.net/flocasts-florigins/play" ["stream_type"]=> string(8) "multiple" ["stream_mode"]=> string(6) "normal" } } ["slug"]=> string(18) "2019-giro-d-italia" ["description"]=> string(79) "<p> <span style="background-color: initial;">2019 Giro d'Italia</span> </p>" ["premium"]=> bool(true) ["ppv"]=> bool(false) ["disable_bumping"]=> bool(false) ["disable_login"]=> bool(false) ["enable_ott"]=> bool(true) ["status"]=> string(4) "LIVE" ["status_message"]=> NULL ["type"]=> string(6) "STREAM" ["start_date"]=> string(10) "2019-05-22" ["end_date"]=> string(10) "2019-06-02" ["start_time"]=> string(8) "07:05:00" ["end_time"]=> string(8) "23:59:59" ["timezone"]=> string(16) "America/New_York" ["start_date_time"]=> string(24) "2019-05-22T11:05:00+0000" ["end_date_time"]=> string(24) "2019-06-03T03:59:59+0000" ["start_at_next"]=> string(24) "2019-05-22T11:05:00+0000" ["background_url"]=> NULL ["live_event_url"]=> string(34) "https://www.flobikes.com/live/8778" ["player_version"]=> string(3) "3.0" ["dvr"]=> bool(false) ["created_at"]=> string(24) "2019-05-22T12:04:56+0000" ["modified_at"]=> string(24) "2019-05-22T12:04:56+0000" } So finally we can see, that 'stream_list' is the key for an array of streams. Being that this is a numerically indexed array of 1..n items, you need to do a nested foreach() to iterate through the internal array elements. You've stated that you are only interested in the 'stream_id' element. So hopefully at this point, you can understand that you have an outer foreach() through the data elements, and then the requirement to do an inner foreach to get the individual stream_id elements from stream_list. <?php $jsondata = file_get_contents("https://kalebdf.com/flo/api.php?url=events%2Fnow-and-upcoming%3Flimit%3D70%26tz%3DAmerica%2FNew_York%26live_only%3D1%26site_id%3D1%252C2%252C3%252C4%252C5%252C6%252C7%252C8%252C9%252C10%252C11%252C12%252C13%252C14%252C15%252C16%252C17%252C18%252C19%252C20%252C21%252C22%252C23%252C24%252C25%252C26%252C27%252C28%252C29%252C30%252C31%252C32%252C33%252C34%252C35%252C36%252C37%252C38%252C39%252C41%252C43"); $json = json_decode($jsondata, true); foreach($json['data'] as $data) { echo "Title: {$data['title']}\n"; echo "Event Time: {$data['live_event']['start_time']}\n"; echo "Streams:\n"; foreach($data['live_event']['stream_list'] as $i => $stream) { $i++; echo " $i. {$stream['stream_id']}\n"; } echo "\n"; } Output: Title: 2019 Giro d'Italia Event Time: 07:05:00 Streams: 1. 18633 2. 25651 Title: 2019 Japan vs United States | Women's VNL Event Time: 08:45:00 Streams: 1. 24691 Title: 2019 Serbia vs Korea | Women's VNL Event Time: 09:45:00 Streams: 1. 24692 Title: 2019 Thailand vs Italy | Women's VNL Event Time: 10:15:00 Streams: 1. 24695 Title: 2019 Brose Bamberg vs Rasta Vechta | easyCredit BBL Event Time: 12:00:00 Streams: 1. 25885 Title: 2019 Bulgaria vs Belgium | Women's VNL Event Time: 12:15:00 Streams: 1. 24697 Title: 2019 Netherlands vs Turkey | Women's VNL Event Time: 12:45:00 Streams: 1. 24698 Title: 2019 Poland vs Germany | Women's VNL Event Time: 13:15:00 Streams: 1. 24699 Title: 2019 Kirolbet Baskonia vs Divinas Seguros Joventut | 2018-19 La Liga BB Event Time: 13:30:00 Streams: 1. 24555 Title: Here's The Deal Event Time: 14:30:00 Streams: 1. 17181 Title: 2019 China vs Russia | Women's VNL Event Time: 14:45:00 Streams: 1. 24700 Title: 2019 TSSAA Outdoor Championships Event Time: 17:00:00 Streams: 1. 23950 Title: Going Brooklyn: In Studio With Bowling's Big Names Event Time: 16:00:00 Streams: 1. 19566 Title: 2019 USAC Sprints at Terre Haute Action Track Event Time: 17:30:00 Streams: 1. 20891 2. 21547 3. 21850 Title: 2019 Brazil vs Dominican Republic | Women's VNL Event Time: 17:45:00 Streams: 1. 24701 Title: 2019 D.C. United vs Real Betis Event Time: 18:45:00 Streams: 1. 25324 2. 25961 Title: 2019 Sassari City Matteo Pellicone Memorial Event Time: 03:00:00 Streams: 1. 22004 Title: 2019 Canadian Gymnastics Championships - Artistic Event Time: 08:30:00 Streams: 1. 22977 Title: 2019 Belgium vs Japan | Women's VNL Event Time: 08:45:00 Streams: 1. 24702 Title: 2019 CAN vs SUI | IIHF World Quarterfinals Event Time: 09:15:00 Streams: 1. 25647 2. 25958 Title: 2019 Netherlands vs Korea | Women's VNL Event Time: 09:45:00 Streams: 1. 24703 Title: 2019 Italy vs Germany | Women's VNL Event Time: 10:15:00 Streams: 1. 24704 Title: FloTrack TV Event Time: 12:00:00 Streams: 1. 24624 Title: 2019 United States vs Bulgaria | Women's VNL Event Time: 12:15:00 Streams: 1. 24705 Title: 2019 Turkey vs Serbia | Women's VNL Event Time: 12:45:00 Streams: 1. 24706 Title: 2019 Thailand vs Poland | Women's VNL Event Time: 13:15:00 Streams: 1. 24707 Title: 2019 CZE vs GER | IIHF World QuarterFinals Event Time: 13:15:00 Streams: 1. 25959 Title: 2019 DI NCAA West Preliminary Round Event Time: 12:00:00 Streams: 1. 23835 2. 25953 Title: 2019 DI NCAA East Preliminary Round Event Time: 15:30:00 Streams: 1. 23834 2. 25954 Title: 2019 China vs Dominican Republic | Women's VNL Event Time: 14:45:00 Streams: 1. 24708 Title: 2019 MPSSAA Outdoor Championships Event Time: 16:00:00 Streams: 1. 24005 Title: 2019 NHSRA Louisiana State Finals: RidePass PRO Event Time: 15:15:00 Streams: 1. 25111 etc.

you would initially create an array of the dates (Y-m-d date format) you want to highlight and store this array in a class property. at the point in the code where it is producing the css class selector and the cell content, you would use in_array() to find if $this->currentDate is one of the dates in the array. note: the author of that script should have produced a $today value in the Y-m-d format and just directly compared it with $this->currentDate in the existing css class selector code.

Just use the index hierarchy down to the item you want echo $array['data'][0]['attributes']['title']

Look through the screenshot you posted until you see that one path. Then look through your application's configuration until you find it.

There are a few issues here: echo'<form method="POST" action"'.getLocations($conn).'"> 1. getLocations() is a function that does not return anything. You can't use it with a string like that. 2. The form action is supposed to be a URL. If you want to submit the form to the same page it's on you can leave the action empty or missing. 3. There needs to be an equals sign with that action. <!--foreach($zip as $zip) : --> 4. That's PHP code. If you need to comment it out, keep it inside the <?php tags and use a PHP comment, not an HTML comment. 5. $zip that was set inside the getLocations() function is not going to be available to use outside the function. You should make the function return the value, then when you call it assign the returned value to a variable. 6. The function is only set to do anything when the form is submitted. Make sure that everything still works even when the form hasn't been submitted yet. 7. Don't iterate over a variable and then use that same variable name for the individual values. You'll confuse yourself. Perhaps use $zips and $zip? echo $address['address']; 8. $address is never defined anywhere. Did you mean $zip? But... echo $zip['zip']; 9. Since you commented out the foreach loop, and because of #5, there is no $zip to use. if (isset($_POST['submit'])){ 10. Your form's submit button is not named "submit". function getLocations($conn) { 11. This function requires that you pass it an argument for the database connection (which you have also named $conn). You aren't doing that.

Please note my original post where I made the point of using the word 'SPECIFIC'. By my count you posted 800 lines of code here. Do you really expect us to read through all of that and try and make sense out of your thinking without any comments? If you could point out where you think the problem lies and what if looks like then you might get some useful tips. Sorry - but I'm not going to plow thru all of this.

In order to use $_GET you need to understand what links look like and what the query string is. Research that and you should have an idea of what you need to do next.

I'm sorry but this is an idiotic approach to handling carts. IP addresses are shared, sometimes en masse. There is no way that a shopping cart should be based upon a user's IP address. The IP address code is dumb. PHP has sessions built in, and they are easy to use and solve this problem. I don't know where you found this tutorial, but it's apparently old, outdated, and has a number of poor and/or obsolete practices. You know when you have code that requires global, this is php3 level sophistication. I'm also on the same bandwagon as most of the long time established developers who frequent phpfreaks, in being a firm proponent of the "use PDO, it's a better db API" camp. It might help to let people know what you are trying to get out of this: (learning exercise?, building a site for a small business or personal project?, homework?) as that might help people modulate their responses. The obvious issue with the code you provided is that you didn't show us the code that actually calls add_cart() function, so it's anyone's guess why it isn't working, although ginerjm already pointed out the way you bypass potential db errors and assume your connections and queries are functioning.