[{"data":1,"prerenderedAt":114},["ShallowReactive",2],{"$f7I6FJ-rbUzncFAdW7dNclJhRgkcfmK36kVlJ8_LKE9M":3},{"title":4,"date":5,"dateModified":6,"datePublished":7,"dateModifiedISO":7,"image":8,"content":9,"faq":10,"metaTitle":30,"metaDescription":31,"author":32,"authorBio":6,"authorLinkedin":6,"authorTitle":6,"authorPhoto":33,"lastReviewed":6,"researchBasis":6,"category":34,"readingTime":35,"related":36,"prev":54,"next":55,"toc":58,"takeaways":113},"YouTube Scraper API with Python: Official API vs Scraper, With Working Code","15 Sep 2026",null,"2026-09-15","/img/news/youtube-scraper-api-python-2026.png","\u003Ch1>YouTube Scraper API with Python: Official API vs Scraper, With Working Code\u003C/h1>\n\u003Cp>You want channel and video data from YouTube in a Python script. There are two ways to get it: the official YouTube Data API, or a third-party YouTube scraper API that reads public pages for you.\u003C/p>\n\u003Cp>This guide shows both in Python. It covers quota costs, the job-based workflow scraper APIs use, common errors, and the rules you need to check first.\u003C/p>\n\u003Cblockquote>\n\u003Cp>\u003Cstrong>Quick answer:\u003C/strong> Start with the official YouTube Data API. Read-only channel and video lookups cost 1 quota unit each, so 10,000 free daily units go a long way. Consider a scraper API only when you need data the official API doesn't provide, and check YouTube's terms before you do.\u003C/p>\n\u003C/blockquote>\n\u003Ch2 id=\"what-is-a-youtube-scraper-api\">What Is a YouTube Scraper API?\u003C/h2>\n\u003Cp>A YouTube scraper API is a hosted service that collects data from YouTube pages and returns it as structured JSON. You send an input, such as a channel URL. The provider loads the pages, parses them, handles retries and returns the results.\u003C/p>\n\u003Cp>Typical fields for a channel job include:\u003C/p>\n\u003Cul>\n\u003Cli>Channel name, URL and ID\u003C/li>\n\u003Cli>Subscriber count, where shown\u003C/li>\n\u003Cli>Video titles, IDs and URLs\u003C/li>\n\u003Cli>Publication dates\u003C/li>\n\u003Cli>View, like and comment counts\u003C/li>\n\u003Cli>Descriptions and thumbnail URLs\u003C/li>\n\u003C/ul>\n\u003Cp>Fields vary by provider, so read the response schema before writing your parser.\u003C/p>\n\u003Cp>The workflow looks like this:\u003C/p>\n\u003Cp>\u003Cstrong>Python script → scraper API → scraping job → dataset → Python script\u003C/strong>\u003C/p>\n\u003Ch2 id=\"youtube-data-api-vs-youtube-scraper-api\">YouTube Data API vs YouTube Scraper API\u003C/h2>\n\u003Cp>The \u003Ca href=\"https://developers.google.com/youtube/v3/getting-started\">YouTube Data API\u003C/a> is Google's official interface for channels, videos, playlists and search. It needs a Google Cloud project and an API key. Requests for private data or write actions also need OAuth 2.0.\u003C/p>\n\u003Cp>A scraper API is run by a third party. It extracts what public YouTube pages display and exposes it through the provider's own API.\u003C/p>\n\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\u003C/th>\n\u003Cth>YouTube Data API\u003C/th>\n\u003Cth>YouTube scraper API\u003C/th>\n\u003C/tr>\n\u003C/thead>\n\u003Ctbody>\u003Ctr>\n\u003Ctd>Provider\u003C/td>\n\u003Ctd>Google\u003C/td>\n\u003Ctd>Third party\u003C/td>\n\u003C/tr>\n\u003Ctr>\n\u003Ctd>Access method\u003C/td>\n\u003Ctd>Official API\u003C/td>\n\u003Ctd>Page extraction\u003C/td>\n\u003C/tr>\n\u003Ctr>\n\u003Ctd>Authentication\u003C/td>\n\u003Ctd>API key and/or OAuth\u003C/td>\n\u003Ctd>Provider token\u003C/td>\n\u003C/tr>\n\u003Ctr>\n\u003Ctd>Limits\u003C/td>\n\u003Ctd>Daily quota (10,000 units by default)\u003C/td>\n\u003Ctd>Provider pricing and limits\u003C/td>\n\u003C/tr>\n\u003Ctr>\n\u003Ctd>Data available\u003C/td>\n\u003Ctd>Documented API resources\u003C/td>\n\u003Ctd>Depends on the scraper\u003C/td>\n\u003C/tr>\n\u003Ctr>\n\u003Ctd>Breaks when YouTube's pages change\u003C/td>\n\u003Ctd>No\u003C/td>\n\u003Ctd>Can, until the provider updates it\u003C/td>\n\u003C/tr>\n\u003Ctr>\n\u003Ctd>Covered by YouTube's permission\u003C/td>\n\u003Ctd>Yes, under API policies\u003C/td>\n\u003Ctd>Generally no (see legal section)\u003C/td>\n\u003C/tr>\n\u003C/tbody>\u003C/table>\n\u003Ch3 id=\"youtube-data-api-quota-the-numbers-that-matter\">YouTube Data API quota: the numbers that matter\u003C/h3>\n\u003Cp>Every project gets 10,000 quota units per day by default, and each method has a fixed cost:\u003C/p>\n\u003Cul>\n\u003Cli>\u003Ccode>channels.list\u003C/code>, \u003Ccode>playlistItems.list\u003C/code> and \u003Ccode>videos.list\u003C/code> cost \u003Cstrong>1 unit\u003C/strong> per call.\u003C/li>\n\u003Cli>\u003Ccode>search.list\u003C/code> costs \u003Cstrong>100 units\u003C/strong> per call.\u003C/li>\n\u003Cli>\u003Ccode>videos.list\u003C/code> accepts up to 50 video IDs per request.\u003C/li>\n\u003C/ul>\n\u003Cp>In practice, reading a channel's uploads playlist and then batching video IDs is very cheap. Search is what drains quota. Many teams who think they need a scraper only need to stop calling \u003Ccode>search.list\u003C/code>.\u003C/p>\n\u003Cp>Raising the default quota requires an audit by Google, which can take time.\u003C/p>\n\u003Ch2 id=\"method-1-get-youtube-channel-data-with-the-official-api\">Method 1: Get YouTube Channel Data With the Official API\u003C/h2>\n\u003Cp>Install Google's Python client:\u003C/p>\n\u003Cdiv class=\"code-block\">\u003Cbutton type=\"button\" class=\"code-block__copy\" data-copy-code aria-label=\"Copy code\">Copy\u003C/button>\u003Cpre>\u003Ccode class=\"language-bash\">pip install google-api-python-client\n\u003C/code>\u003C/pre>\u003C/div>\n\u003Cp>This script reads a channel by its handle, pages through its uploads playlist, and fetches stats for each video in batches of 50:\u003C/p>\n\u003Cdiv class=\"code-block\">\u003Cbutton type=\"button\" class=\"code-block__copy\" data-copy-code aria-label=\"Copy code\">Copy\u003C/button>\u003Cpre>\u003Ccode class=\"language-python\">import os\nfrom googleapiclient.discovery import build\n\nyoutube = build("youtube", "v3", developerKey=os.environ["YOUTUBE_API_KEY"])\n\n# 1 unit: channel details, looked up by handle\nchannel = youtube.channels().list(\n    part="snippet,statistics,contentDetails",\n    forHandle="@example",\n).execute()["items"][0]\n\nuploads_id = channel["contentDetails"]["relatedPlaylists"]["uploads"]\n\n# 1 unit per page: collect video IDs from the uploads playlist\nvideo_ids, page_token = [], None\nwhile len(video_ids) < 200:\n    page = youtube.playlistItems().list(\n        part="contentDetails",\n        playlistId=uploads_id,\n        maxResults=50,\n        pageToken=page_token,\n    ).execute()\n    video_ids += [i["contentDetails"]["videoId"] for i in page["items"]]\n    page_token = page.get("nextPageToken")\n    if not page_token:\n        break\n\n# 1 unit per batch of up to 50 videos\nvideos = []\nfor start in range(0, len(video_ids), 50):\n    batch = youtube.videos().list(\n        part="snippet,statistics",\n        id=",".join(video_ids[start:start + 50]),\n    ).execute()\n    videos += batch["items"]\n\nprint(channel["snippet"]["title"], len(videos), "videos")\n\u003C/code>\u003C/pre>\u003C/div>\n\u003Cp>Collecting 200 videos this way costs about 9 units.\u003C/p>\n\u003Cp>Two details to know:\u003C/p>\n\u003Cul>\n\u003Cli>\u003Cstrong>Subscriber counts are rounded.\u003C/strong> The API \u003Ca href=\"https://developers.google.com/youtube/v3/revision_history\">rounds them down to three significant figures\u003C/a> for channels above 1,000 subscribers, so 123,456 becomes 123,000.\u003C/li>\n\u003Cli>\u003Cstrong>Storage is time-limited.\u003C/strong> YouTube's \u003Ca href=\"https://developers.google.com/youtube/terms/developer-policies\">developer policies\u003C/a> let you keep data not authorized by a user for up to 30 days. After that, you must delete or refresh it.\u003C/li>\n\u003C/ul>\n\u003Caside class=\"article__inline-cta\">\u003Cp class=\"article__inline-cta-text\">Try ScrapeWise on your own URL — \u003Cstrong>extract in 24s\u003C/strong>, no credit card.\u003C/p>\u003Ca class=\"article__inline-cta-btn\" href=\"https://portal.scrapewise.ai/login\" target=\"_blank\" rel=\"noopener\">Start Free →\u003C/a>\u003C/aside>\u003Ch2 id=\"method-2-scrape-youtube-channel-data-with-a-scraper-api\">Method 2: Scrape YouTube Channel Data With a Scraper API\u003C/h2>\n\u003Cp>Scraper APIs usually work as jobs. You start a job, wait for it to finish, then download the results. Endpoint names and input fields differ by provider, so treat the code below as a template.\u003C/p>\n\u003Ch3 id=\"step-1-store-your-token-safely\">Step 1: Store your token safely\u003C/h3>\n\u003Cp>Keep the token out of your source code:\u003C/p>\n\u003Cdiv class=\"code-block\">\u003Cbutton type=\"button\" class=\"code-block__copy\" data-copy-code aria-label=\"Copy code\">Copy\u003C/button>\u003Cpre>\u003Ccode class=\"language-python\">import os\nTOKEN = os.environ["SCRAPER_API_TOKEN"]\n\u003C/code>\u003C/pre>\u003C/div>\n\u003Ch3 id=\"step-2-start-poll-and-fetch\">Step 2: Start, poll and fetch\u003C/h3>\n\u003Cdiv class=\"code-block\">\u003Cbutton type=\"button\" class=\"code-block__copy\" data-copy-code aria-label=\"Copy code\">Copy\u003C/button>\u003Cpre>\u003Ccode class=\"language-python\">import os\nimport time\nimport requests\n\nBASE_URL = "https://api.your-provider.example/v1"  # replace with your provider's URL\nHEADERS = {"Authorization": f"Bearer {os.environ['SCRAPER_API_TOKEN']}"}\n\ndef start_job(channel_url, max_videos=20):\n    r = requests.post(\n        f"{BASE_URL}/jobs",\n        headers=HEADERS,\n        json={"channelUrls": [channel_url], "maxVideos": max_videos},\n        timeout=30,\n    )\n    r.raise_for_status()\n    return r.json()["jobId"]\n\ndef wait_for_job(job_id, poll_every=10, max_wait=1800):\n    waited = 0\n    while waited < max_wait:\n        status = requests.get(f"{BASE_URL}/jobs/{job_id}", headers=HEADERS, timeout=30).json()["status"]\n        if status == "succeeded":\n            return\n        if status == "failed":\n            raise RuntimeError(f"Job {job_id} failed")\n        time.sleep(poll_every)\n        waited += poll_every\n    raise TimeoutError(f"Job {job_id} did not finish in {max_wait}s")\n\ndef fetch_results(job_id):\n    r = requests.get(f"{BASE_URL}/jobs/{job_id}/results", headers=HEADERS, timeout=60)\n    r.raise_for_status()\n    return r.json()\n\njob_id = start_job("https://www.youtube.com/@example")\nwait_for_job(job_id)\nvideos = fetch_results(job_id)\n\u003C/code>\u003C/pre>\u003C/div>\n\u003Cp>This asynchronous pattern suits large jobs. Your script doesn't hold one HTTP connection open for minutes.\u003C/p>\n\u003Ch3 id=\"example-apify39s-python-client\">Example: Apify's Python client\u003C/h3>\n\u003Cp>Apify is one provider with YouTube scrapers. Its official client wraps the same start-and-fetch flow:\u003C/p>\n\u003Cdiv class=\"code-block\">\u003Cbutton type=\"button\" class=\"code-block__copy\" data-copy-code aria-label=\"Copy code\">Copy\u003C/button>\u003Cpre>\u003Ccode class=\"language-python\">import os\nfrom apify_client import ApifyClient\n\nclient = ApifyClient(os.environ["APIFY_API_TOKEN"])\nrun_input = {}  # add the input fields your chosen Actor expects\nrun = client.actor("ACTOR_ID").call(run_input=run_input)\n\nfor item in client.dataset(run["defaultDatasetId"]).iterate_items():\n    print(item)\n\u003C/code>\u003C/pre>\u003C/div>\n\u003Cp>\u003Ccode>.call()\u003C/code> waits for the run to finish. Its datasets export as JSON, JSONL, CSV, XLSX, XML, HTML or RSS.\u003C/p>\n\u003Ch2 id=\"analyse-the-results-with-pandas\">Analyse the Results With Pandas\u003C/h2>\n\u003Cp>Once you have a list of video records, load them into a DataFrame:\u003C/p>\n\u003Cdiv class=\"code-block\">\u003Cbutton type=\"button\" class=\"code-block__copy\" data-copy-code aria-label=\"Copy code\">Copy\u003C/button>\u003Cpre>\u003Ccode class=\"language-python\">import pandas as pd\n\ndf = pd.json_normalize(videos)  # flattens nested fields such as statistics.viewCount\nprint(df.head())\ndf.to_csv("youtube_videos.csv", index=False)\n\u003C/code>\u003C/pre>\u003C/div>\n\u003Cp>From there you can calculate upload frequency, average views or engagement per video.\u003C/p>\n\u003Cp>If you use the official API, note YouTube's policy on \u003Ca href=\"https://developers.google.com/youtube/terms/derived-metrics-policy\">derived metrics\u003C/a>. Custom scores built from API data have extra rules.\u003C/p>\n\u003Ch2 id=\"common-youtube-scraper-api-errors\">Common YouTube Scraper API Errors\u003C/h2>\n\u003Cp>\u003Cstrong>401 or 403 responses.\u003C/strong> Check that the token or API key exists in your environment and is correct. For the official API, a 403 \u003Ccode>quotaExceeded\u003C/code> means you've used the day's quota.\u003C/p>\n\u003Cp>\u003Cstrong>Wrong input field.\u003C/strong> One scraper expects \u003Ccode>channelUrls\u003C/code>, another \u003Ccode>channels\u003C/code> or \u003Ccode>handles\u003C/code>. A URL and a handle aren't interchangeable unless the documentation says so.\u003C/p>\n\u003Cp>\u003Cstrong>Empty results.\u003C/strong> Common causes are a typo in the handle, a private or removed channel, or a change in YouTube's page layout that the scraper hasn't caught up with. Test with one channel and a small limit first.\u003C/p>\n\u003Cp>\u003Cstrong>Timeouts on synchronous calls.\u003C/strong> Apify's synchronous \u003Ca href=\"https://docs.apify.com/api/v2/actor-run-sync-get-dataset-items-post\">run-and-get-items endpoint\u003C/a> returns a 408 if the run exceeds 300 seconds. Use the asynchronous pattern for longer jobs.\u003C/p>\n\u003Cp>\u003Cstrong>Rate limits.\u003C/strong> Batch your channels, limit concurrency and retry temporary failures with backoff.\u003C/p>\n\u003Cp>Page changes are the main maintenance cost of any scraper. Managed services such as ScrapeWise.ai take on that maintenance for e-commerce sources. We explain the problem in our guides to \u003Ca href=\"https://scrapewise.ai/blogs/scrape-javascript-heavy-ecommerce-websites-2026\">scraping JavaScript-heavy websites\u003C/a> and \u003Ca href=\"https://scrapewise.ai/blogs/self-healing-scraper-infrastructure-2026\">self-healing scraper infrastructure\u003C/a>.\u003C/p>\n\u003Ch2 id=\"youtube-data-use-cases-for-brands-and-retailers\">YouTube Data Use Cases for Brands and Retailers\u003C/h2>\n\u003Cp>\u003Cstrong>Competitor channel tracking.\u003C/strong> Compare upload frequency, topics and views across competing brands. A Nordic outdoor-gear retailer, for example, can see which product videos from rival brands draw the most views each month.\u003C/p>\n\u003Cp>\u003Cstrong>Content analysis.\u003C/strong> Find which titles, formats and video lengths perform best in your category.\u003C/p>\n\u003Cp>\u003Cstrong>Market research.\u003C/strong> Track creator activity around a product launch, or collect the questions viewers ask about a product type.\u003C/p>\n\u003Cp>For most of these, the official API's channel and video data is enough.\u003C/p>\n\u003Ch2 id=\"is-it-legal-to-scrape-youtube\">Is It Legal to Scrape YouTube?\u003C/h2>\n\u003Cp>Check this before you build anything at scale.\u003C/p>\n\u003Cp>\u003Ca href=\"https://www.youtube.com/static?template=terms\">YouTube's Terms of Service\u003C/a> prohibit accessing the service by automated means, such as scrapers. The exceptions are public search engines following YouTube's robots.txt, prior written permission from YouTube, or where applicable law permits it. The terms also restrict collecting information that could identify a person, such as usernames or faces.\u003C/p>\n\u003Cp>A third-party scraper doesn't change this. The provider's terms add obligations; they don't remove YouTube's.\u003C/p>\n\u003Cp>In Europe, two more points apply:\u003C/p>\n\u003Cul>\n\u003Cli>\u003Cstrong>GDPR.\u003C/strong> Comment authors, creator names and faces in thumbnails are personal data. Collect only what you need and set retention limits.\u003C/li>\n\u003Cli>\u003Cstrong>DSA research access.\u003C/strong> Article 40(12) of the Digital Services Act gives qualifying researchers access to publicly accessible platform data. YouTube runs a \u003Ca href=\"https://research.youtube.com/\">Researcher Program\u003C/a> with expanded quota for eligible researchers.\u003C/li>\n\u003C/ul>\n\u003Cp>For commercial projects, get legal advice on your specific use case.\u003C/p>\n\u003Ch2 id=\"faq\">FAQ\u003C/h2>\n\u003Ch3 id=\"is-there-a-youtube-scraper-api\">Is there a YouTube scraper API?\u003C/h3>\n\u003Cp>Yes. Several third-party providers offer APIs that collect YouTube channel, video, comment or search data. Google also offers the official YouTube Data API, which is usually the better starting point.\u003C/p>\n\u003Ch3 id=\"can-i-scrape-youtube-with-python\">Can I scrape YouTube with Python?\u003C/h3>\n\u003Cp>Yes. Python can call a scraper API with \u003Ccode>requests\u003C/code> or a provider's client library. However, YouTube's terms restrict automated access, so check whether the official API covers your needs first.\u003C/p>\n\u003Ch3 id=\"what39s-the-difference-between-the-youtube-data-api-and-a-sc\">What's the difference between the YouTube Data API and a scraper API?\u003C/h3>\n\u003Cp>The YouTube Data API is Google's official, documented interface with a daily quota. A scraper API is a third-party service that extracts data from public YouTube pages and can break when those pages change.\u003C/p>\n\u003Ch3 id=\"how-much-youtube-data-can-i-get-for-free\">How much YouTube data can I get for free?\u003C/h3>\n\u003Cp>The YouTube Data API gives each project 10,000 quota units per day. Channel, playlist and video lookups cost 1 unit each, while a search costs 100 units.\u003C/p>\n\u003Ch3 id=\"can-i-export-youtube-data-to-csv\">Can I export YouTube data to CSV?\u003C/h3>\n\u003Cp>Yes. Load the records into a Pandas DataFrame and call \u003Ccode>to_csv()\u003C/code>. Many scraper providers also offer CSV export directly.\u003C/p>\n\u003Ch2 id=\"conclusion\">Conclusion\u003C/h2>\n\u003Cp>For most YouTube channel data in Python, the official API is the right first choice. Use the uploads playlist and batch video IDs, and 10,000 daily units cover a lot of channels.\u003C/p>\n\u003Cp>Consider a scraper API only when you need data the API doesn't provide, and when you've confirmed you're allowed to collect it. Test with one channel, validate the fields, then scale.\u003C/p>\n\u003Cp>YouTube is one source among many. If your team needs structured data from websites where extraction is permitted, such as competitor product pages, platforms like ScrapeWise.ai can \u003Ca href=\"https://scrapewise.ai/use-cases/turn-websites-into-apis\">turn those websites into APIs\u003C/a>. For the wider trade-offs, read our guide to \u003Ca href=\"https://scrapewise.ai/blogs/web-scraping-vs-api-retail-data-2026-guide\">web scraping vs API for retail data\u003C/a>.\u003C/p>\n\u003Cp>\u003Cem>This article is for general information and isn't legal advice.\u003C/em>\u003C/p>\n",{"title":11,"description":12,"badge":13,"benefits":14},"Frequently asked questions","YouTube scraper API with Python - How to collect YouTube channel and video data in Python with the official YouTube Data API or a third-party scraper API","FAQ",[15,18,21,24,27],{"title":16,"description":17},"Is there a YouTube scraper API?","Yes. Several third-party providers offer APIs that collect YouTube channel, video, comment or search data. Google also offers the official YouTube Data API, which is usually the better starting point.",{"title":19,"description":20},"Can I scrape YouTube with Python?","Yes. Python can call a scraper API with requests or a provider's client library. However, YouTube's terms restrict automated access, so check whether the official API covers your needs first.",{"title":22,"description":23},"What's the difference between the YouTube Data API and a scraper API?","The YouTube Data API is Google's official, documented interface with a daily quota. A scraper API is a third-party service that extracts data from public YouTube pages and can break when those pages change.",{"title":25,"description":26},"How much YouTube data can I get for free?","The YouTube Data API gives each project 10,000 quota units per day. Channel, playlist and video lookups cost 1 unit each, while a search costs 100 units.",{"title":28,"description":29},"Can I export YouTube data to CSV?","Yes. Load the records into a Pandas DataFrame and call to_csv(). Many scraper providers also offer CSV export directly.","YouTube Scraper API in Python: Code, Quota Math & When to Use It","Collect YouTube channel data in Python two ways: the official API (1 unit per lookup, 10,000 free daily) or a scraper API. Working code, errors and EU rules.","Siim Brazier","/img/team/siim.jpg","Insights",8,[37,42,48],{"slug":38,"title":39,"image":40,"date":5,"category":34,"excerpt":41},"export-google-maps-to-excel-csv-2026","How to Export Google Maps Data to Excel & CSV: 3 Methods (and 1 to Avoid)","/img/news/export-google-maps-to-excel-csv-2026.png","No export button? Export Google Maps to Excel or CSV with Takeout, manual copy or the Places API (60-result cap), plus EU-safe sources for bulk business data.",{"slug":43,"title":44,"image":45,"date":46,"category":34,"excerpt":47},"competitor-assortment-gap-analysis-2026","What Your Competitors Stock: A Practical Guide to Assortment Gap Analysis","/img/news/competitor-assortment-gap-analysis-2026.png","02 Sep 2026","Price is half the picture. A practical method for tracking which SKUs competitors carry, drop and add — and finding the range gaps before your next buying round.",{"slug":49,"title":50,"image":51,"date":52,"category":34,"excerpt":53},"ean-gtin-matching-failure-modes-2026","Why EAN Matching Fails: 7 Failure Modes from 50,000 SKUs Across European Retailers","/img/news/ean-gtin-matching-failure-modes-2026.png","12 Aug 2026","EAN matching breaks in predictable ways at scale — missing codes, wrong codes, multipacks, regional GTINs, recycled codes, UPC confusion, marketplace stripping. The 7 failure modes and the fix.",{"slug":43,"title":44},{"slug":56,"title":57},"real-time-web-scraping-api-comparison-2026","Real-Time Web Scraping APIs in 2026: 9 Options Compared by Cost per Usable Record",[59,63,66,70,73,76,79,82,85,88,91,94,97,99,101,103,106,108,110],{"level":60,"text":61,"id":62},2,"What Is a YouTube Scraper API?","what-is-a-youtube-scraper-api",{"level":60,"text":64,"id":65},"YouTube Data API vs YouTube Scraper API","youtube-data-api-vs-youtube-scraper-api",{"level":67,"text":68,"id":69},3,"YouTube Data API quota: the numbers that matter","youtube-data-api-quota-the-numbers-that-matter",{"level":60,"text":71,"id":72},"Method 1: Get YouTube Channel Data With the Official API","method-1-get-youtube-channel-data-with-the-official-api",{"level":60,"text":74,"id":75},"Method 2: Scrape YouTube Channel Data With a Scraper API","method-2-scrape-youtube-channel-data-with-a-scraper-api",{"level":67,"text":77,"id":78},"Step 1: Store your token safely","step-1-store-your-token-safely",{"level":67,"text":80,"id":81},"Step 2: Start, poll and fetch","step-2-start-poll-and-fetch",{"level":67,"text":83,"id":84},"Example: Apify's Python client","example-apify39s-python-client",{"level":60,"text":86,"id":87},"Analyse the Results With Pandas","analyse-the-results-with-pandas",{"level":60,"text":89,"id":90},"Common YouTube Scraper API Errors","common-youtube-scraper-api-errors",{"level":60,"text":92,"id":93},"YouTube Data Use Cases for Brands and Retailers","youtube-data-use-cases-for-brands-and-retailers",{"level":60,"text":95,"id":96},"Is It Legal to Scrape YouTube?","is-it-legal-to-scrape-youtube",{"level":60,"text":13,"id":98},"faq",{"level":67,"text":16,"id":100},"is-there-a-youtube-scraper-api",{"level":67,"text":19,"id":102},"can-i-scrape-youtube-with-python",{"level":67,"text":104,"id":105},"What's the difference between the YouTube Data API and a scraper API?","what39s-the-difference-between-the-youtube-data-api-and-a-sc",{"level":67,"text":25,"id":107},"how-much-youtube-data-can-i-get-for-free",{"level":67,"text":28,"id":109},"can-i-export-youtube-data-to-csv",{"level":60,"text":111,"id":112},"Conclusion","conclusion",[],1789463528411]