Site scraper

Social Media Scraper: Public Pages via API

HTTP $0.50JS rendering $2.00 per 1,000 results or your own scraper from $1.95/GB

ProxyField's Web Scraping API is designed as one social media scraping API for 18 platforms at once: Pinterest, Telegram, Snapchat, Bluesky, Tumblr, Threads, Quora, Xing, Kakao, Bilibili, Xiaohongshu (RedNote), Instagram, TikTok, X (Twitter), Facebook, LinkedIn, Reddit and YouTube. One request format, one API key and one price list cover all of them: $0.50 per 1,000 successful results over plain HTTP (from $0.20) or $2.00 with JS rendering (from $1.00), so 1,000 pages each of Telegram, Pinterest and Snapchat cost $3.00, and Bluesky costs $0 through its open API. It returns each public page rather than parsed fields, and the parser on this page maps every platform into the same 8-field JSON row. The API is in development, with access through Contact sales; to run your own scraper today, start on residential proxies with the Easy Trial: 1 GB for $2.95.

Web Scraping API per 1,000 successful results
Web Scraping API prices per 1,000 successful results
FetchEntryVolume, from
HTTP$0.50$0.20
JS rendering$2.00$1.00

Billed on successful results only.

Your own scraper on residential proxies
from $1.95/GB Easy Trial: 1 GB for $2.95
gate.proxyfield.io:7000
The API at a glance (design)
Platformsthe 18 above, public pages only, one request format
Price per 1,000 successful resultsplain HTTP $0.50, from $0.20; JS rendering $2.00, from $1.00; the volume price from 10,000 results in one purchase
Billingsuccessful results only; every response says whether it was billed
Paymentthe same crypto balance as proxies, which never expires; no subscription or monthly fee
Scale20 concurrent requests per account; batches of up to 1,000 URLs, results kept 48 hours
Countriesthe country parameter takes the proxy pool's 195+ countries
Outputthe page as HTML, Markdown, text or a JSON envelope; your parser fills the row
Statusin development: Contact sales

On a small research budget, a month costs $0 to about $30: $0 on Bluesky's open API alone, then X's pay-per-use API or TikTok's Research API if your project qualifies, then plain HTML pages, where 9,000 Telegram pages ($4.50) plus 5,000 Pinterest pages with JS rendering ($10) come to $14.50 at the entry price. For public Telegram channels in Python, request t.me/s/<channel> and page back with ?before=<post id>, or use Telethon with an api_id and api_hash (code below).

Data

One API for Pinterest, Telegram, Snapchat, Bluesky and more

Why one fetch API fits a multi-platform job: one request format and one price for every public page, whatever the platform; only the render switch changes, and the country parameter sets the country for all of them. The trade-off is a short parser per platform, given below.

One row shape for every platform. The Web Scraping API returns each platform's public page, and the parser fills the same eight fields, so Pinterest, Telegram, Snapchat and Bluesky land in one table:

FieldTypeWhat it holdsWhen the platform does not show it
platformstringtelegram, pinterest, snapchat, bluesky …always set
post_idstringthe platform's own id for the post, pin or profilealways set
authorstringchannel, handle or creator namenull
textstringpost text, pin description or profile bionull
published_atstring (ISO 8601, UTC)when the post was publishednull
likesintegerlikes as a number (1.2K becomes 1200)null
viewsintegerviews as a number (1.2M becomes 1200000)null
urlstringthe public URL of the itemalways set
Read moreShow less

The four platforms of the question, one row each (the shape is exact; the values are placeholders):

{"platform": "telegram",  "post_id": "<channel>/312", "author": "<channel>", "text": "…", "published_at": "2026-10-20T14:03:11+00:00", "likes": null, "views": 1200000, "url": "https://t.me/<channel>/312"}
{"platform": "pinterest", "post_id": "<pin_id>", "author": null, "text": "<pin description>", "published_at": null, "likes": null, "views": null, "url": "https://www.pinterest.com/pin/<pin_id>/"}
{"platform": "snapchat",  "post_id": "<username>", "author": null, "text": "<profile description>", "published_at": null, "likes": null, "views": null, "url": "https://www.snapchat.com/add/<username>"}
{"platform": "bluesky",   "post_id": "<rkey>", "author": "<handle>", "text": "…", "published_at": "2026-10-21T09:15:00.000Z", "likes": 42, "views": null, "url": "https://bsky.app/profile/<handle>/post/<rkey>"}

Pinterest and Snapchat rows come from the page's Open Graph tags, so author, dates and counts stay null until you add selectors for them; Telegram and Bluesky give dates and counts directly.

Social media scraping means reading the pages a platform shows a logged-out visitor and turning them into rows: posts, captions, hashtags, public profile details, follower and like counts, comments and dates. The Web Scraping API is designed to take every platform with one request format, one API key and one price list; only the render switch changes. What a logged-out visitor sees differs by platform and changes often, so the mode below is where to start, and a quick test on your own URLs settles it.

The four platforms in one job, worked out:

PlatformURL you sendModePrice per 1,000 (entry → from)1,000 pages at the entry price
Telegramhttps://t.me/s/<channel>Plain HTTP$0.50 → $0.20$0.50
Pinteresthttps://www.pinterest.com/pin/<pin_id>/JS rendering$2.00 → $1.00$2.00
Snapchathttps://www.snapchat.com/add/<username>Plain HTTP first$0.50 → $0.20$0.50
Blueskyhttps://public.api.bsky.app/xrpc/app.bsky.feed.getAuthorFeed?actor=<handle>Bluesky's open API, no ProxyField call–$0
Total$3.00

All 18 platforms. The second column is a starting point, not a promise: what each platform shows logged-out visitors changes, so test a few of your own URLs first.

PlatformWhat a logged-out visitor typically seesMode to start withPrice per 1,000 pages (entry → volume)
TelegramRecent posts of a public channel in the t.me/s/ web preview, with views and datesPlain HTTP$0.50 → $0.20
PinterestPins (image, title, description, source link), boards and profiles; a login prompt after some scrollingJS rendering$2.00 → $1.00
SnapchatPublic profiles and Spotlight videos of creators; what each profile shows variesPlain HTTP first; JS rendering if fields are missing$0.50 → $0.20, or $2.00 → $1.00
BlueskyPublic posts and profiles, also through an open API (AT Protocol)The open API, no account: no ProxyField cost–
TumblrPublic blogs and postsPlain HTTP$0.50 → $0.20
ThreadsPublic profiles and posts, with login promptsJS rendering$2.00 → $1.00
QuoraQuestions and some answers, often a login prompt after a few pagesJS rendering$2.00 → $1.00
XingA short public profile, if the member allows it, and company pagesPlain HTTP first$0.50 → $0.20
KakaoPublic pages such as Kakao Map places and business channel profilesPlain HTTP first; JS rendering for map pages$0.50 → $0.20, or $2.00 → $1.00
Bilibili, Xiaohongshu (RedNote)Bilibili video pages; on Xiaohongshu only a few notes before a login promptJS rendering$2.00 → $1.00
Instagram, TikTok, X (Twitter), Facebook, LinkedIn, Reddit, YouTubeVaries by platformPublic pages through the same Web Scraping API; one guide per platformInstagram scraper, TikTok scraper, Twitter scraper, Facebook scraper, LinkedIn scraper, Reddit scraper, YouTube scraper

The volume price starts at 10,000 successful results in one purchase. Private profiles, direct messages, closed groups and anything behind a login are out of scope: ProxyField's acceptable use policy forbids accessing data behind logins you are not entitled to.

A parsed API per platform, or one fetch API?

A parsed per-platform API saves you the parser; a fetch API gives you every public page at one price and one request format. ProxyField's is the second: there is no separate social media API with pre-parsed fields. In the API's design, the response is the page as HTML, Markdown or plain text, or a JSON envelope with the status code, the final URL, the headers, the cookies and the content.

Each platform gets a small parser that fills the eight fields of the row above, counts such as 1.2M become numbers, and a field the platform does not show stays null. The parsers for the four platforms of the worked example:

Python
from bs4 import BeautifulSoup

def meta(soup, name):
    tag = soup.find("meta", attrs={"property": name}) or soup.find("meta", attrs={"name": name})
    return tag["content"].strip() if tag and tag.get("content") else None

def page_row(platform, url, html):
    """Pinterest pins and Snapchat public profiles: read the page's Open Graph tags."""
    soup = BeautifulSoup(html, "html.parser")
    return {"platform": platform, "post_id": url.rstrip("/").rsplit("/", 1)[-1],
            "author": None, "text": meta(soup, "og:description") or meta(soup, "og:title"),
            "published_at": None, "likes": None, "views": None,
            "url": meta(soup, "og:url") or url}

def bluesky_row(item):
    """One item of the getAuthorFeed response."""
    p, rkey = item["post"], item["post"]["uri"].rsplit("/", 1)[-1]
    return {"platform": "bluesky", "post_id": rkey, "author": p["author"]["handle"],
            "text": p["record"].get("text"), "published_at": p["record"].get("createdAt"),
            "likes": p.get("likeCount"), "views": None,
            "url": f"https://bsky.app/profile/{p['author']['handle']}/post/{rkey}"}

# Telegram: the preview script below writes post_id, published_at, views, text and url,
# the same fields; author is the channel name from post_id.

html is the content field of the API's JSON response, or a page your own scraper fetched. Open Graph tags (og:title, og:description, og:url) give the title and description a platform puts in link previews; check them on a current page, and add selectors for counts and dates where your project needs them.

The lowest-cost way to scrape social media for a small project

A small research project costs $0 to about $30 a month: $0 on Bluesky's open API alone, $14.50 for 9,000 Telegram pages and 5,000 Pinterest pages, and $28 for 36,000 Telegram pages (300 channels read 4 times a day) plus 5,000 Pinterest pages, at the entry prices. In order of cost:

  1. Official routes first, checking each one's current terms

    Bluesky's public AT Protocol API needs no account and costs nothing; TikTok's Research API if you are an approved non-commercial researcher; X's pay-per-use API at $0.005 per post read; Reddit's developer platform. With a $0 budget, this step is where you start.

  2. Plain HTML pages over plain HTTP

    Telegram previews and Tumblr blogs, $0.50 per 1,000 successful results.

  3. JS rendering only where a page needs it

    Pinterest, Quora and Threads, $2.00 per 1,000.

  4. Your own scraper on residential proxies, when you already have the code: 1 GB for $2.95 with no minimum purchase, and the traffic never expires, so a one-off sample leaves nothing recurring to cancel.

Steps 2 and 3 are the Web Scraping API (Contact sales). It has no subscription or monthly fee: you pay per 1,000 successful results from a crypto balance that never expires, so a month with no collection costs nothing. A month of 9,000 Telegram pages and 5,000 Pinterest pages costs $4.50 + $10 = $14.50 at the entry price.

Fetch each page only as often as it changes, collect only the fields the project needs, and store post IDs and URLs rather than full copies of every page.

Compare

Official APIs or a scraper?

Most platforms have an official API, but each one covers a different slice. Bluesky's AT Protocol lets anyone read public posts without an account, so there you should use the API rather than scrape. Tumblr's API needs a registered app key. Pinterest, Threads and Snapchat run APIs mainly for apps that manage their own or their clients' accounts, content or ads, with access the platform approves. Telegram's Bot API only sees chats a bot is added to. X's API is pay-per-use, with no subscription: $0.005 per post read, so 1,000 posts cost $5, and the plan caps at 3 million post reads a month (X API pricing). TikTok's Research API gives public data about TikTok accounts and content to approved researchers who are independent of commercial interests, such as academic institutions in the US, the EEA, the UK, Canada or Switzerland. Reddit's data access goes through its developer platform and terms. A scraper reads the public pages instead: one tool for many platforms, as visitors in a given country see them.

ItemOfficial platform APIsWeb Scraping API
AccessAn app or key per platform, often approvedOne ProxyField account, no platform login
OutputJSON fields the platform choosesThe public page, for your parser
LimitsRate limits and terms per platformBilled per 1,000 successful results
DataWhat each API exposesWhat a logged-out visitor sees
How it works

How a request works

The API is in development; this is its design (API documentation). You send a public page URL, such as https://t.me/s/telegram, and the Web Scraping API returns the page, over plain HTTP or with JS rendering. The API takes a POST to https://api.proxyfield.io/v1/scrape with your API key in an Authorization: Bearer <api_key> header and a JSON body: url, render (false for plain HTTP, true for JS rendering), country and output (html, markdown, text or json). For platforms that build the page with scripts, wait_for takes a CSS selector the rendered page must show before it is returned. country sets the country the request comes from (the exit IP), as a two-letter code such as de; it accepts the proxy pool's 195+ countries. Parameter reference: API documentation.

Shell
# The request the Web Scraping API takes (access through Contact sales)
curl https://api.proxyfield.io/v1/scrape \
  -H "Authorization: Bearer <api_key>" \
  -H "Content-Type: application/json" \
  -d '{"url": "https://t.me/s/telegram", "render": false, "country": "us", "output": "json"}'

Example response (shortened; content is the page's HTML):

JSON
{
  "metadata": {"id": "req_e81a0c5d3f6b9247", "api": "web_scrape", "status": "success", "billed": true},
  "status_code": 200,
  "final_url": "https://t.me/s/telegram",
  "content_type": "text/html; charset=utf-8",
  "content": "<!DOCTYPE html><html>…</html>"
}
Pricing

Pricing: $0.50 per 1,000 pages, from $0.20

Telegram previews, Tumblr blogs and many profile pages are plain HTML, so plain HTTP at $0.50 per 1,000 successful results covers them. Pinterest, Quora, Threads and Xiaohongshu build much of the page with scripts and usually need JS rendering: $2.00 per 1,000, from $1.00 at volume. The volume price starts at 10,000 successful results in one purchase.

You pay only for successful results. Billed: a page the platform answered with a 2xx status; a target's 404 or 410, and a sign-in page the site serves with a 200 status, also count as billed results. Not billed: blocked requests, timeouts, errors on our side and our internal retries. Every response says whether it was billed. Sales contact: the sales team on our 24/7 live chat.

One result is one page. A one-off sample of 5,000 Pinterest pages with JS rendering costs $10 at the entry price; 10,000 pages in one purchase also cost $10, at the $1.00 volume price. Payment and balance for the API: the same crypto balance as proxies, which never expires; there is no subscription or monthly fee. All prices: pricing.

Through the sales team on our 24/7 live chat

Workload (30-day month)
Workload (30-day month), Pages a month, At the entry price, At the volume price
Workload (30-day month)Pages a monthAt the entry priceAt the volume price
Small research project: 300 public Telegram channels, read once a day (plain HTTP)9,000$4.50–
300 public Telegram channels, read 4 times a day (plain HTTP)36,000$18$7.20
1,000 Pinterest pins or boards a day (JS rendering)30,000$60$30
500 public profiles a day, half of them with JS rendering15,000$18.75$9

When a platform refuses a request

Too many logged-out requests from one IP bring 429 or 403 answers from the platform, empty pages or a login wall. With your own scraper, slow down, spread requests over rotating residential IPs, keep one sticky IP for a sequence of pages on the same profile, and stop where a login prompt starts. Mobile proxies run on 5G, 4G and LTE carrier networks, with the same targeting and sessions.

Do it yourself

Scrape messages from public Telegram channels with Python

Two routes: the channel's web preview for the last few hundred posts with no account (requests and Beautiful Soup), or Telethon for deeper history (a Telegram account and an api_id). For the preview, install the two libraries with pip install requests beautifulsoup4, request https://t.me/s/<channel>, read each tgme_widget_message block for its id, date, views and text, and page back with ?before=<post id> until no messages come back. For deeper history, use Telethon with an api_id and api_hash from my.telegram.org (API development tools), as in the second script below. A channel whose owner switched the web preview off shows no messages at t.me/s/. The class names are Telegram's own markup and can change, so recheck the selectors when the script returns nothing.

Read moreShow less

ProxyField gives you a new IP on every request or a sticky session from 30 s to 36 h, and targeting by country, region (state) and city; the pool has 412M+ residential IPs in 195+ countries.

Python
import csv, time
import requests
from bs4 import BeautifulSoup

PROXY = "http://<login>-country-us:<password>@gate.proxyfield.io:7000"
CHANNEL = "telegram"  # a public channel's username
HEADERS = {"User-Agent": "research-script/1.0 (contact: [email protected])"}

def fetch(before=None):
    params = {"before": before} if before else None
    r = requests.get(f"https://t.me/s/{CHANNEL}", params=params, headers=HEADERS,
                     proxies={"http": PROXY, "https": PROXY}, timeout=30)
    r.raise_for_status()
    return BeautifulSoup(r.text, "html.parser").select("div.tgme_widget_message[data-post]")

with open("messages.csv", "w", newline="", encoding="utf-8") as f:
    out = csv.writer(f)
    out.writerow(["post_id", "published_at", "views", "text", "url"])
    before = None
    for _ in range(20):  # at most 20 pages for a first run
        msgs = fetch(before)
        if not msgs:
            break
        for m in msgs:
            post = m["data-post"]                      # "telegram/312"
            when = m.select_one("time[datetime]")
            views = m.select_one("span.tgme_widget_message_views")
            text = m.select_one("div.tgme_widget_message_text")
            out.writerow([post, when["datetime"] if when else "",
                          views.get_text(strip=True) if views else "",
                          text.get_text(" ", strip=True) if text else "",
                          f"https://t.me/{post}"])
        lowest = min(int(m["data-post"].split("/")[1]) for m in msgs)
        if before is not None and lowest >= before:
            break
        before = lowest
        time.sleep(3)  # a few seconds between pages

The first lines of messages.csv look like this (the shape is exact; the values are placeholders):

post_id,published_at,views,text,url
telegram/312,2026-10-20T14:03:11+00:00,1.2M,<message text>,https://t.me/telegram/312
telegram/311,2026-10-19T09:40:02+00:00,980K,<message text>,https://t.me/telegram/311

What to expect: each page of the preview holds about the last 20 messages, so 20 pages give a few hundred posts, and views come back as Telegram shows them (1.2M, not a full number). Access opens once the payment is confirmed; the gateway, credentials or allowlist are in your account. Username keys after the location: -region-<region>, -session-<id> and -ttl-<seconds> (30 to 129,600 seconds, 20 minutes by default), as in <login>-country-us-region-new_york-city-new_york-session-he9f2qga-ttl-600.

When the preview is not enough: Telethon

For deeper history, forwards or a channel without a web preview, Telegram's own API is the other common route:

  1. Sign in at my.telegram.org, open API development tools and create an app: you get an api_id and an api_hash (Telethon's Signing In page walks through it and notes that the hash is secret and cannot be revoked).

  2. Install Telethon: pip install telethon.

  3. Run the script. The first run asks for your phone number, the login code Telegram sends and your two-step verification password if you set one, then saves a session.session file, so later runs start without a prompt.

The shortest working version prints the last 10 messages:

Python
from telethon.sync import TelegramClient

with TelegramClient("session", 12345678, "<api_hash>") as client:
    for m in client.iter_messages("telegram", limit=10):
        print(m.id, m.date.isoformat(), m.views, (m.message or "")[:80])

This longer script writes the same CSV columns as the preview script:

Python
import csv
from datetime import datetime, timezone
from telethon.sync import TelegramClient
from telethon.errors import FloodWaitError

API_ID, API_HASH, CHANNEL = 12345678, "<api_hash>", "telegram"
OLDER_THAN = datetime(2026, 10, 1, tzinfo=timezone.utc)  # start reading before this date

with TelegramClient("session", API_ID, API_HASH) as client, \
        open("messages_api.csv", "w", newline="", encoding="utf-8") as f:
    out = csv.writer(f)
    out.writerow(["post_id", "published_at", "views", "text", "url"])
    try:
        for m in client.iter_messages(CHANNEL, limit=500, offset_date=OLDER_THAN):
            out.writerow([f"{CHANNEL}/{m.id}", m.date.isoformat(), m.views or "",
                          m.message or "", f"https://t.me/{CHANNEL}/{m.id}"])
    except FloodWaitError as e:
        print(f"Telegram asks you to wait {e.seconds} s before the next request")

iter_messages returns the newest messages first; offset_date starts the read before a date, so you can walk back through a date range. Telethon sleeps through short flood waits by itself; a longer one raises FloodWaitError with the seconds Telegram asks for, and the script stops so you can rerun after that wait.

Telegram's API terms (section 1.5) prohibit using data obtained from the Telegram platform to train, fine-tune or develop AI models. This route needs a logged-in account, so keep it to public channels and a pace the API allows.

Bluesky: skip the scraper

The public API returns JSON with no account:

Python
import requests

r = requests.get("https://public.api.bsky.app/xrpc/app.bsky.feed.getAuthorFeed",
                 params={"actor": "bsky.app", "limit": 25}, timeout=30)
for item in r.json()["feed"]:
    post = item["post"]
    print(post["author"]["handle"], post["record"].get("createdAt"),
          post.get("likeCount"), post["record"].get("text", "")[:80])

Residential proxies cost $2.95/GB for 1 GB and from $1.95/GB at volume, with no subscription; the traffic never expires, and all purchases are final. For Pinterest, Quora and other script-built pages, drive a real browser with Playwright or Puppeteer through the same gateway.

Use cases

What teams use social media data for

Brand monitoring, trend and content research, influencer research, sentiment analysis on public comments, and regional checks of what visitors in a given country see. Posting, liking or messaging through a scraper is not data collection; fake accounts, fake engagement and spam are forbidden under ProxyField's acceptable use policy. For running your own or your clients' accounts, see Social media proxies, Instagram proxies and Reddit proxies.

More scrapers

More scrapers

FAQ

Social Media Scraper FAQ

24/7 support by live chat, including help with setup and integration.

Which social media scraping API covers several platforms at once, such as Pinterest, Telegram, Snapchat and Bluesky?

ProxyField's Web Scraping API is designed to cover 18 platforms with one request format and one price list, these four included: 1,000 pages each of Telegram ($0.50, plain HTTP), Pinterest ($2.00, JS rendering) and Snapchat ($0.50) cost $3.00, and Bluesky costs $0 through its open API. It bills successful results only, from the same crypto balance as proxies, with no subscription, and its design runs 20 concurrent requests and batches of up to 1,000 URLs. It returns the page rather than parsed fields, so a short parser per platform, shown on this page, maps each page into the same JSON row; the API is in development, with access through Contact sales.

How much does social media scraping cost?

ProxyField's Web Scraping API costs $0.50 per 1,000 successful results over plain HTTP, from $0.20 at volume, and $2.00 per 1,000 (from $1.00) for pages that need JS rendering. Reading 300 public Telegram channels four times a day is 36,000 pages a month: $18 at the entry price. Your own scraper on residential proxies starts at 1 GB for $2.95.

What's the lowest-cost way to scrape public posts across several social networks for a small research project?

A small project costs $0 to about $30 a month. With a $0 budget, use the official routes first: Bluesky's open API costs nothing, TikTok's Research API is open to qualifying non-commercial researchers, and X's pay-per-use API costs $0.005 per post read. Then fetch plain HTML pages at $0.50 per 1,000 successful results with ProxyField's Web Scraping API (in development, through Contact sales), and use JS rendering ($2.00 per 1,000) only where a page needs it: 9,000 Telegram pages plus 5,000 Pinterest pages come to $14.50 for a month. Fetch each page only as often as it changes and store post IDs and URLs rather than full copies.

What is social media scraping?

Collecting public posts, profiles, comments and engagement counts from social platforms with a script or service instead of by hand. It reads what a logged-out visitor sees, and stops where a login starts.

What is a social media scraping API?

A service that fetches social media pages for you, deals with IPs and retries, and returns the result to your code. ProxyField's Web Scraping API takes any public URL and returns the page; you parse the fields you need.

How do I scrape social media data?

List the public pages you need, fetch them at a steady pace through rotating IPs or a scraping API, parse the fields into one row shape and store them with the date. Use JS rendering or a real browser for platforms that build pages with scripts, and the official API where it is open, as on Bluesky.

Which social media platforms can a scraping API scrape?

Any platform whose pages are public without a login, such as Pinterest pins, Telegram channel previews, Tumblr blogs, public Snapchat profiles and Quora questions. How much each one shows logged-out visitors varies, as the table on this page sets out with the mode and price for each.

Why scrape social media and what is the data used for?

Teams use public social data for brand monitoring, trend and content research, influencer research and sentiment analysis. It shows what people say about a product in their own words.

Can I scrape localized social media data from a specific country?

Yes: send the requests through IPs in that country, so a page loads as visitors there see it. ProxyField residential proxies offer targeting by country, region (state) and city, with 412M+ residential IPs in 195+ countries, and the Web Scraping API's country parameter accepts the same 195+ countries.

Why use proxies for social media scraping?

Platforms limit how many logged-out requests one IP may send, and then return errors or a login wall. Rotating residential IPs spread the requests, and a sticky IP keeps a sequence of pages on one address.

Show 15 more questionsShow fewer questions

Can I scrape social media comments for sentiment analysis?

Yes, where comments or answers are public, such as Quora answers or Bluesky replies. Keep the text and the date, drop the names you do not need, and run the sentiment model on the result.

How do I avoid getting blocked when scraping social media?

Send few requests per IP, pause between them, rotate residential IPs and send an honest User-Agent. Stop at a login prompt rather than working around it, and use the official API where the platform offers one.

How do I handle JavaScript when scraping social media?

Check the page source first: some platforms put the data as JSON inside the HTML. If they do not, use JS rendering in the Web Scraping API ($2.00 per 1,000 successful results, from $1.00) or a browser such as Playwright through rotating proxies.

Can you get data from official social media APIs?

Yes, within each platform's rules: Bluesky's API reads public posts with no account, Tumblr's needs an app key, and Pinterest, Threads and Snapchat approve apps mainly for managing their own accounts, content or ads.

How do I scrape Pinterest?

Fetch public pin, board or search pages with JS rendering ($2.00 per 1,000 successful results with ProxyField, from $1.00) or a real browser, then read the title, description, image link, source link and board of each pin. Pinterest shows logged-out visitors a login prompt after some scrolling, so collect in short runs.

Is there a Pinterest scraper on GitHub?

Yes, several open-source Pinterest scrapers and image downloaders are on GitHub. Check when each was last updated, because Pinterest changes its pages.

What can a Snapchat scraper collect?

What Snapchat's website shows for public profiles: typically the creator's name, bio, subscriber count where shown and Spotlight videos. Snaps and chats between friends are private and out of scope.

How do I scrape messages from public Telegram channels with Python?

Use the channel's web preview for the last few hundred posts with no account, or Telethon for deeper history. For the preview, pip install requests beautifulsoup4, request t.me/s/<channel>, read each message's id, date, views and text, and page back with ?before=<post id>, as in the code on this page. For deeper history or forwards, Telethon reads the channel through Telegram's API with an api_id and api_hash from my.telegram.org and your own account; Telegram's API terms forbid using the data to train AI models. Groups and member lists hold members' personal data and are outside what this page covers.

Do I need a scraper for Bluesky?

Usually not: Bluesky's AT Protocol API returns public posts, profiles and follower lists as JSON without an account. Pace your calls within the API's rate limits.

How do I scrape Quora?

Fetch public question pages with JS rendering and read the question, the visible answers, their authors and upvote counts. Quora often shows logged-out visitors a login prompt after a few pages, so rotate IPs and keep the runs short.

What does a Kakao scraper collect?

Public pages of Kakao services, such as Kakao Map places with names, addresses and reviews, or the public channel profiles of businesses. KakaoTalk chats are private and out of scope; for Korean results, a South Korean IP shows the pages as local visitors see them.

What can a Xing scraper collect?

Company pages and the short public profile that some members allow, such as name, job title and employer. Most profile details need a login, and Xing's members are mostly in Germany, Austria and Switzerland, where the GDPR applies to every profile you store.

Can I scrape Xiaohongshu (RedNote) through an API?

Only the few notes the website shows logged-out visitors, using JS rendering or a real browser. Xiaohongshu asks visitors to log in soon after, and anything behind that prompt is out of scope.

What can a Bilibili scraper collect?

Public video pages show the title, uploader, views, likes, publish date and comments, and the site loads much of it from JSON in its own requests. Some videos are limited by region, so the IP's country can change what you get.

Can I scrape Discord messages?

Not as public data: Discord messages sit inside servers you must join with an account, and Discord forbids automating user accounts. For a server you run, Discord's official bot API is the route.

Start collecting public pages with the Web Scraping API

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