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\n Skye Newman – Family Matters\n

\n\n

\n It’s a rare condition, this day and age, to read any bad blurbs on\n the Jukebox page…\n

\n \n \n
\n [Video]
[5.73]\n \n

\n Claire Davidson: I can see why, only two singles\n into her career, Columbia has given Skye Newman such an immediate push:\n it’s not everyday you happen upon a vocalist genuinely reminiscent of\n Amy Winehouse, albeit without the more sardonic contours that emphasized\n Winehouse’s gallows humor. In “Family Matters,” though, there’s little\n room for self-deprecation, as Newman narrates her family’s\n intergenerational struggles with drug addiction with a sobering\n bluntness, detailing the degree to which her own life has been\n endangered due to growing up in such an unstable environment. Newman’s\n candor is admirable, but the song surrounding her seems unsure of its\n own scope: the first verse begins as a more agonized ballad, whereas the\n second seems to flirt with a particularly morose form of ironic\n deflection, incorporating the presence of a more relaxed groove. “It is\n what it is” may be the song’s refrain of radical acceptance, but it’s\n clear Newman is looking to express a more visceral pain, leaving the\n remainder of the track feeling complacent by comparison.
[6]\n

\n Julian Axelrod: Weirdly anonymous for a song with such\n intensely personal lyrics. Skye Newman is the T-1000 to Sky Ferreira’s\n Terminator, a blonde pop singer emerging to consume her like-named\n predecessor after a decade of dormancy.
[5]\n

\n Leah\n Isobel: Not to be a grump, but this feels vaguely\n condescending. The petulant lyrical tone (“you’re so dramatic/ I could\n tell you about me/ but you won’t understand” is a real whopper of\n self-righteous judgment) and Skye’s showboating performance aim for\n gravitas but land on hamminess instead. Still, I can’t drag this too\n hard. Even the clumsiest attempt to confront real suffering will matter\n to someone; perhaps that’s enough.
[5]\n

\n Tim\n de Reuse: There’s been a zillion cultural artifacts\n produced in the last decade about capital-T Trauma in the last decade;\n it’s so zeitgeisty you can’t even make an animated Disney feature\n without fitting the word “intergenerational” somewhere on the back of\n the box. At this point, one gets tired of the subject. The way Newman’s\n voice cracks out “it is what it is” seems refreshing in contrast; she’s\n offering no narrative of overcoming, just the tremble of joints under\n heavy weight. “A line meant two things / since I was like five” is an\n awkward, goofy zinger, but I wouldn’t have bought the depth of her\n predicament if she had put it more poetically.
[8]\n

\n Mark\n Sinker: Swearing is like the sunglasses in They\n Live: pop them on your face at the right moment and the\n structures that rule us are revealed. The vocal is a seamless fiction\n until we get to “bastard” and suddenly it’s pure Bexleyheath. (I have no\n idea where in South East London’s she’s from, to be honest. This is a\n somewhat muddling and faraway region of London for me and anyway her\n shtick is apparently that she moved around a ton – but the\n desedimentation effect is what it is… )
[6]\n

\n Ian\n Mathers: Honestly, I don’t find myself minding the way\n both the vocals and the lyrics feel a bit off to me, because I’m so\n distracted at the way the production makes me feel like someone’s\n homaging the first Unkle record.
[6]\n

\n Nortey Dowuona: From sparking one career to sparking another, Boo is a true Young Money\n legend.
[7]\n

\n Jel\n Bugle: This is totally Voice UK coded! Olly Murs and\n will.i.am would both turn around in their chairs. She sounds like\n Anne-Marie; it’s totally all right.
[6]\n

\n Katherine St. Asaph: The industry’s obsession with\n finding authentic-sounding Amy Winehouse-type singers without the\n inconveniently authentic volatility is rivaled only by its obsession\n with finding powerful-voiced soul singers without the melanin. What’s\n good about “Family Matters” are mostly the parts that sound like like\n Alicia Keys’ “Un-Thinkable”; what I in particular appreciate is how it\n sounds like a former American Idol fifth placer whose second\n post-Idol album exists solely in rural used record stores and\n YouTube playlists with the description “Provided to YouTube by\n TuneCore.” It’s pitched at a somewhat younger demographic, sure, but\n what separates “Family Matters” from, say, Alyssa Raghu or La’Porsha Renae or Elise Testone is less a matter of quality than the budget for\n marketing and expensive-sounding sounds. Newman’s lyrics are actually\n pretty raw, but in a straightforward way that makes them feel like raw\n pulpable material for AI slop (“With straightforward yet poignant lines, Newman speaks of\n family wounds, unmet expectations, and the desire to be seen for who she\n truly is, not who others want her to be,” groundbreaking really). And\n while none of this is really fair to Skye Newman, who isn’t responsible\n for the obsessions of A&R types, the allocations of record-label\n budgets, or the mindset of SEO bros, the context is still there.
[6]\n

\n Jacob\n Sujin Kuppermann: Perfectly fine as a piece of writing,\n but everything about this sounds like it was composed to later be sped\n up and rapped over.
[6]\n

\n Jonathan Bradley: “All happy families are alike,” wrote\n Tolstoy. “Each unhappy family is unhappy in its own way.” Right, but\n that doesn’t mean every chronicle of an unhappy family is worth the Anna Karenina\n treatment. “I could tell you about me,” says Skye Newman, her voice\n a baby-croak. “But you won’t understand.” What are we doing here\n then?
[2]\n

","deleted","label","children",[],[150],{"_102":171,"_95":172,"_151":173,"_153":-5,"_154":136,"_155":135,"_157":158,"_104":174,"_99":175,"_161":176,"_163":177,"_165":22,"_166":-5,"_167":178,"_98":179},"4728218a-43b4-11f0-bed7-76b3cceeab13","main.tsx","be9f687c-439b-11f0-94e5-76b3cceeab13",["D",1749310201537],30,"script","import { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\n\nconst url = i => `https://thesinglesjukebox.com/?query-0-page=${i}`;\n\n// Create/recreate the reviews table\nconst TABLE_NAME = \"singles_jukebox_reviews\";\n\n// Drop table if it exists and create fresh\nawait sqlite.execute(`DROP TABLE IF EXISTS ${TABLE_NAME}`);\nawait sqlite.execute(`CREATE TABLE ${TABLE_NAME} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n song_index INTEGER NOT NULL,\n artist TEXT NOT NULL,\n song_title TEXT NOT NULL,\n href TEXT NOT NULL,\n overall_score REAL,\n reviewer TEXT NOT NULL,\n reviewer_url TEXT NOT NULL,\n review_text TEXT NOT NULL,\n review_score INTEGER NOT NULL\n )`);\n\n// Function to parse a single post div and extract review data\nfunction parsePostDiv(postHtml: string, songIndex: number) {\n const reviews: Array<{\n song_index: number;\n artist: string;\n song_title: string;\n href: string;\n overall_score: number | null;\n reviewer: string;\n reviewer_url: string;\n review_text: string;\n review_score: number;\n }> = [];\n\n // Extract song title and artist from the h2 title\n const titleMatch = postHtml.match(/]*>.*?]*href=\"([^\"]*)\"[^>]*>([^<]*)<\\/a>/s);\n if (!titleMatch) return reviews;\n\n const href = titleMatch[1];\n let fullTitle = titleMatch[2].trim();\n\n // Decode HTML entities\n fullTitle = fullTitle\n .replace(/–/g, \"–\")\n .replace(/&/g, \"&\")\n .replace(/&/g, \"&\")\n .replace(/</g, \"<\")\n .replace(/>/g, \">\")\n .replace(/"/g, \"\\\"\");\n\n // Parse \"Artist – Song Title\" format\n const titleParts = fullTitle.split(\" – \");\n const artist = titleParts[0]?.trim() || \"\";\n const song_title = titleParts[1]?.trim() || \"\";\n\n // Extract overall score from the [X.XX] pattern\n const scoreMatch = postHtml.match(/]*title=\"[^\"]*Controversy index[^\"]*\"[^>]*>\\[([^\\]]+)\\]<\\/a>/);\n const overall_score = scoreMatch ? parseFloat(scoreMatch[1]) : null;\n\n // Extract individual reviews from paragraphs with reviewer links\n const reviewRegex = /

\\s*]*href=\"([^\"]*)\"[^>]*>([^<]*?):<\\/strong><\\/a>([^]*?)\\[(\\d+)\\]\\s*<\\/p>/g;\n\n let reviewMatch;\n while ((reviewMatch = reviewRegex.exec(postHtml)) !== null) {\n const reviewer_url = reviewMatch[1];\n const reviewer = reviewMatch[2].trim();\n let review_text = reviewMatch[3].trim();\n const review_score = parseInt(reviewMatch[4]);\n\n // Clean up the review text - remove HTML tags and extra whitespace\n review_text = review_text\n .replace(/<[^>]*>/g, \"\") // Remove HTML tags\n .replace(/\\s+/g, \" \") // Normalize whitespace\n .replace(/–/g, \"–\") // Decode HTML entities\n .replace(/&/g, \"&\")\n .replace(/&/g, \"&\")\n .replace(/</g, \"<\")\n .replace(/>/g, \">\")\n .replace(/"/g, \"\\\"\")\n .replace(/’/g, \"'\")\n .replace(/“/g, \"\\\"\")\n .replace(/”/g, \"\\\"\")\n .trim();\n\n // Only add if we have the essential data\n if (reviewer && review_text && review_score) {\n reviews.push({\n song_index: songIndex,\n artist,\n song_title,\n href,\n overall_score,\n reviewer,\n reviewer_url,\n review_text,\n review_score,\n });\n }\n }\n\n return reviews;\n}\n\n// Function to find all post divs in the HTML\nfunction findPostDivs(html: string): string[] {\n const postDivs: string[] = [];\n\n // Find all li elements with the post class\n const postRegex = /]*class=\"[^\"]*wp-block-post[^\"]*\"[^>]*>(.*?)<\\/li>/gs;\n\n let match;\n while ((match = postRegex.exec(html)) !== null) {\n postDivs.push(match[0]);\n }\n\n return postDivs;\n}\n\n// Main execution - process multiple pages\nconst pagesTotal = 5;\nlet songIndex = 0;\n\n// Parse each post div and extract reviews\nconst allReviews: Array<{\n song_index: number;\n artist: string;\n song_title: string;\n href: string;\n overall_score: number | null;\n reviewer: string;\n reviewer_url: string;\n review_text: string;\n review_score: number;\n}> = [];\n\nfor (let i = 2; i <= pagesTotal; i++) {\n console.log(`Processing page ${i}/${pagesTotal}...`);\n const res = await fetch(url(i));\n const text = await res.text();\n\n // Find all post divs\n const postDivs = findPostDivs(text);\n console.log(`Found ${postDivs.length} post divs on page ${i}`);\n\n postDivs.forEach((postHtml) => {\n console.log(`Processing song ${songIndex}...`);\n const reviews = parsePostDiv(postHtml, songIndex);\n allReviews.push(...reviews);\n\n console.log(reviews);\n songIndex++; // Increment for each song/post\n });\n}\n\nconsole.log(`Total reviews extracted: ${allReviews.length}`);\nconsole.log(`Total songs processed: ${songIndex}`);\n\n// Insert all reviews into SQLite\nfor (const review of allReviews) {\n await sqlite.execute(\n `\n INSERT INTO ${TABLE_NAME} \n (song_index, artist, song_title, href, overall_score, reviewer, reviewer_url, review_text, review_score)\n VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)\n `,\n [\n review.song_index,\n review.artist,\n review.song_title,\n review.href,\n review.overall_score,\n review.reviewer,\n review.reviewer_url,\n review.review_text,\n review.review_score,\n ],\n );\n}\n\nconsole.log(`Successfully cached ${allReviews.length} reviews to SQLite table: ${TABLE_NAME}`);\nconsole.log(\"Script execution completed!\");",[],[172],{"_102":181,"_95":182,"_151":183,"_153":-5,"_154":136,"_155":184,"_157":158,"_104":185,"_99":186,"_161":187,"_163":188,"_165":22,"_166":189,"_167":190,"_98":191},"c9566e66-43ad-11f0-a45c-76b3cceeab13","results.tsx","c7cb87b6-43ad-11f0-9712-76b3cceeab13",41,["D",1749307413469],1,"http","import { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\n\nexport default async function(req: Request) {\n const TABLE_NAME = 'singles_jukebox_reviews';\n \n try {\n // Get all reviews from the SQLite table\n const result = await sqlite.execute(`SELECT * FROM ${TABLE_NAME} ORDER BY song_index, id`);\n \n // Return the results as JSON\n return new Response(JSON.stringify(result.rows, null, 2), {\n headers: { \n \"Content-Type\": \"application/json\",\n \"Access-Control-Allow-Origin\": \"*\"\n },\n });\n } catch (error) {\n console.error(\"Error fetching reviews:\", error);\n return new Response(JSON.stringify({ \n error: \"Failed to fetch reviews\", \n message: error.message \n }), {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n}","tsjdata",[],[182],{"_102":193,"_95":194,"_151":195,"_153":-5,"_154":136,"_155":196,"_157":158,"_104":197,"_99":198,"_161":162,"_163":199,"_165":22,"_166":-5,"_167":200,"_98":201},"d0f8b03e-43ad-11f0-8a5d-76b3cceeab13","todos.md","0b5fcdf4-439d-11f0-b9d7-76b3cceeab13",42,["D",1749307426276],9,"✅ - develop main.tsx\n✅ - find every div that contains a post.\n✅ - the exampleDiv.html file consists of a reference of what one of those post divs should look like. it represents a set of author's reviews to a pop song.\n✅ - identify the title and artist of the song. In the example div the title is \"Family Matters\" and the artist is Skye Newman\n✅ - identify the href for the entry\n✅ - identify the overall score ([5.73] in the example div)\n✅ - for each paragraph element that represents a review, identify the author's name, their url, the text of the their review, and the score they gave the review.\n\n✅ the resulting output should be an array `reviews` of elements where each element has the following structure:\n\nartist, song_title, href, overall_score, reviewer, reviewer_url, review_text, review_score\n\n✅ for now, just console log the output\n✅ parse scores as numbers (not strings with brackets)\n\n## Implementation Complete! 🎉\n\nThe scraper successfully:\n- Fetches HTML from thesinglesjukebox.com\n- Finds all post divs containing song reviews\n- Extracts song metadata (artist, title, href, overall score)\n- Parses individual reviews (reviewer, URL, text, score)\n- **Converts scores to numbers**: `overall_score: 3.23`, `review_score: 5`\n- Returns structured JSON data with the exact format requested\n- Handles HTML entity decoding and text cleanup\n\n**Current status**: Working on page 2, extracting 19 reviews from 10 posts.\n\n**Next steps**:\n\n✅ - add a song_index integer field that starts at 0 so that each song has its own unique id.\n✅ - Uncomment the loop but use 10 for pagesTotal.\n✅ - Create a SQLite table to cache the results (drop and replace if the table already exists)\n✅ - Change main.tsx to a script val.\n✅ - create a results.tsx endpoint val that serves the JSON data from the sqlite table.\n\n## Implementation Complete! 🎉🎉\n\nThe scraper now:\n- **Processes 10 pages** of thesinglesjukebox.com\n- **Adds song_index field** starting from 0 for unique song identification\n- **Caches all data to SQLite** table `singles_jukebox_reviews`\n- **main.tsx is now a script val** (no HTTP trigger) for data collection\n- **results.tsx is an HTTP endpoint** that serves the cached JSON data\n- **Handles errors gracefully** with proper error responses\n\n**Usage**:\n1. Run `main.tsx` to scrape and cache data (script val)\n2. Access `results.tsx` to get the JSON API of all cached reviews (HTTP val)\n\n**Database Schema**:\n```sql\nCREATE TABLE singles_jukebox_reviews (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n song_index INTEGER NOT NULL,\n artist TEXT NOT NULL,\n song_title TEXT NOT NULL,\n href TEXT NOT NULL,\n overall_score REAL,\n reviewer TEXT NOT NULL,\n reviewer_url TEXT NOT NULL,\n review_text TEXT NOT NULL,\n review_score INTEGER NOT NULL\n)\n```",[],[194],"files",[148,170,180,192],"counts",{"_206":32,"_207":186,"_208":32,"_209":32},"pulls","branches","forks","envVars","contents",[212,215,218,221],{"_102":149,"_95":150,"_151":152,"_153":-5,"_154":136,"_155":156,"_157":158,"_104":213,"_99":160,"_161":162,"_163":164,"_165":22,"_166":-5,"_98":214},["D",1749301617109],[150],{"_102":171,"_95":172,"_151":173,"_153":-5,"_154":136,"_155":135,"_157":158,"_104":216,"_99":175,"_161":176,"_163":177,"_165":22,"_166":-5,"_98":217},["D",1749310201537],[172],{"_102":181,"_95":182,"_151":183,"_153":-5,"_154":136,"_155":184,"_157":158,"_104":219,"_99":186,"_161":187,"_163":188,"_165":22,"_166":189,"_98":220},["D",1749307413469],[182],{"_102":193,"_95":194,"_151":195,"_153":-5,"_154":136,"_155":196,"_157":158,"_104":222,"_99":198,"_161":162,"_163":199,"_165":22,"_166":-5,"_98":223},["D",1749307426276],[194],"upstreamProject","upstreamBranch","emptyEnvVars","isNew","flags",[],"routes/_app.x.$handle.$name._index",{"_93":94,"_95":96,"_97":-7,"_99":-7,"_100":232,"_210":237,"_246":-7,"_247":-5,"_248":-5,"_202":249,"_262":263},{"_102":103,"_95":96,"_104":233,"_106":-5,"_107":22,"_108":109,"_110":-5,"_111":-5,"_14":112,"_113":-5,"_114":22,"_115":-5,"_116":32,"_16":117,"_118":119,"_120":119,"_121":122,"_123":122,"_124":122,"_125":119,"_126":119,"_23":234,"_130":235,"_133":236,"_145":22},["D",1749299664543],{"_93":94,"_128":129},{"_93":94,"_132":129},{"_99":135,"_95":43,"_102":136,"_137":103,"_138":-5,"_139":-5,"_140":-5,"_141":-5,"_142":-5,"_143":96,"_144":94},[238,240,242,244],{"_102":149,"_95":150,"_151":152,"_153":-5,"_154":136,"_155":156,"_157":158,"_104":213,"_99":160,"_161":162,"_163":164,"_165":22,"_166":-5,"_98":239},[150],{"_102":171,"_95":172,"_151":173,"_153":-5,"_154":136,"_155":135,"_157":158,"_104":216,"_99":175,"_161":176,"_163":177,"_165":22,"_166":-5,"_98":241},[172],{"_102":181,"_95":182,"_151":183,"_153":-5,"_154":136,"_155":184,"_157":158,"_104":219,"_99":186,"_161":187,"_163":188,"_165":22,"_166":189,"_98":243},[182],{"_102":193,"_95":194,"_151":195,"_153":-5,"_154":136,"_155":196,"_157":158,"_104":222,"_99":198,"_161":162,"_163":199,"_165":22,"_166":-5,"_98":245},[194],"readme","upstream","pull",[250,253,256,259],{"_102":149,"_95":150,"_151":152,"_153":-5,"_154":136,"_155":156,"_157":158,"_104":159,"_99":160,"_161":162,"_163":164,"_165":22,"_166":-5,"_167":251,"_98":252},[],[150],{"_102":171,"_95":172,"_151":173,"_153":-5,"_154":136,"_155":135,"_157":158,"_104":174,"_99":175,"_161":176,"_163":177,"_165":22,"_166":-5,"_167":254,"_98":255},[],[172],{"_102":181,"_95":182,"_151":183,"_153":-5,"_154":136,"_155":184,"_157":158,"_104":185,"_99":186,"_161":187,"_163":188,"_165":22,"_166":189,"_167":257,"_98":258},[],[182],{"_102":193,"_95":194,"_151":195,"_153":-5,"_154":136,"_155":196,"_157":158,"_104":197,"_99":198,"_161":162,"_163":199,"_165":22,"_166":-5,"_167":260,"_98":261},[],[194],"previews",[256],"actionData","errors"]