Web Scraping vs API: Which to Use, What Each Costs, and How to Get Both

Web scraping vs API is a choice between two doors into the same website. An official API is a door the platform built for programs: documented, structured, and open only as far as the platform's pricing and terms allow. Web scraping uses the front door everyone else uses, so you get whatever a visitor can see, and the parsing, blocking and maintenance are yours.

There is a third option that most guides skip: a scraper someone else maintains, exposed as an API. That is how Scrape.ly works. Each of the 568 Actors in the Store runs behind one REST endpoint, so you call a scraper the way you'd call any API. Below are the trade-offs, real prices for the X, Google Places and Reddit APIs as of 22 October 2026, and the code.

Web scraping vs API at a glance

What an official API gives you, and what it costs

An official API is the right tool when the platform offers exactly the data you need at a price you accept. In practice, three things limit it: what the platform chooses to expose, what it charges, and the terms you agree to. Here is what three popular APIs looked like on 22 October 2026.

X (Twitter). The X API is now pay-per-usage: reading a post costs $0.005 and reading a user costs $0.010, and pay-per-usage plans are "capped at 3 million Post reads per monthly billing cycle", above which X points you to an Enterprise plan. Reading 1,000 posts costs $5.00.

Google Places. The Places API returns places in pages of at most 20, and Text Search "returns a maximum of 60 results across all pages" for a query (Text Search docs). Fields are priced in tiers: a place's rating, review count, phone number, website and opening hours all sit in the Enterprise tier, and its reviews in Enterprise + Atmosphere (data fields).

Reddit. The Data API wiki requires every client to authenticate with OAuth, limits free access to 100 queries per minute per OAuth client ID, and binds you to Reddit's developer and Data API terms. You must also delete any content that was deleted on Reddit, and Reddit recommends deleting stored user data within 48 hours.

None of these are bad deals for what they are. But each one decides your coverage, your volume and your costs for you.

What web scraping gives you, and what it costs

Scraping reads the same pages a visitor sees, so coverage is limited only by what's public. Our Google Maps Scraper reads up to about 200 places per search, against Text Search's 60; a public X profile shows its posts without an API key; public subreddit listings are open to logged-out visitors.

The cost is engineering. A do-it-yourself scraper needs:

• Parsing that matches the site's current layout and breaks when it changes.
• JavaScript rendering for pages that build their content in the browser.
• Proxies and retries, because busy sites rate-limit and block repeated requests from one IP.
• Scheduling, storage and monitoring, so the data arrives every day and you notice when it stops.

For one site and one script that's an afternoon. For ten sites running daily, it's a job.

Web scraping and APIs together: a scraper as an endpoint

Scrape.ly removes the engineering half of that trade-off. Each Actor in the Scrape.ly Store is a maintained scraper for one site or job, and every one of them runs behind the same REST API. The Scrape.ly API pages show the common ones, such as the X (Twitter) API, Reddit API and Google Maps API, each a Store Actor you call with an input and get JSON back from.

Create a token under Settings → API & Integrations and export it as SCRAPELY_TOKEN. This call runs the Reddit Posts Scraper on r/python and returns the posts in the same HTTP response:

curl -X POST "https://api.scrape.ly/v2/actors/echofield~reddit-posts-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $SCRAPELY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"subredditUrls": ["r/python"], "maxPostsCount": 10}'

The synchronous endpoint waits up to 45 seconds. For longer jobs, start the run with POST /v2/actors/{actor}/runs and read the results when it finishes, or use a client that waits for you. In Python (pip install scrapely-client-python), reading recent posts from a public X profile with the Tweet Scraper looks like this:

import os
from scrapely_client import ScrapelyClient

client = ScrapelyClient(os.environ["SCRAPELY_TOKEN"], api_url="https://api.scrape.ly")

run = client.actor("echofield/tweet-scraper").call(
    run_input={"twitterHandles": ["NASA"], "maxItems": 20, "sort": "Latest"}
)
print(run.status)  # SUCCEEDED, FAILED, ABORTED or TIMED-OUT
for post in client.dataset(run.default_dataset_id).iterate_items():
    print(post["createdAt"], post.get("likeCount"), post["text"][:80])

AI agents get the same reach without any code. Add the Scrape.ly MCP server in Claude Code with claude mcp add --transport http scrapely https://api.scrape.ly/mcp, sign in with /mcp, and ask: "Use scrapely to get the 10 newest posts in r/python with their scores." The agent finds the Actor, reads its input schema, runs it and reads the results.

A real call: r/python in 6 seconds

We ran the Reddit Posts Scraper's Newest posts in r/python preset on 22 October 2026. It returned 10 posts in 5.8 seconds with 2 requests, and was charged $0.014179: 10 results × $0.0014 = $0.014 in result fees plus $0.00018 of platform usage. The first four posts (authors are private people and are left out here):

Each full record carries 75 fields, from upvoteRatio and createdAt to computed ones such as scorePerHour and commentsPerHour. There was no OAuth app to register and no rate-limit header to watch. Our Reddit scraping guide walks through the same Actor in detail.

What it costs: official API vs scraping API

Take 1,000 public posts from X:

That's about one fifteenth of the price, without X's monthly read cap or a developer account. The same pattern shows up wherever an official API prices per record. The Store price is always on the Actor page, so you can do this arithmetic before you run anything, and a maximum charge per run guarantees the bill can't exceed what you set.

When the official API is still the right tool

Use the platform's own API when you need to act, not read: posting, sending messages, managing an ad account, or reading private data a user has authorised you to see. Payments, bookings and anything with legal consequences should always go through the provider's API. Scraping is for reading public data, and that's where Scrape.ly is the better default.

Hybrid patterns that work

• API for writes, scraping for reads. Post through the X API; monitor public replies and competitors with the Tweet Scraper.
• API first, scraping for the gaps. Use an official feed where it exists, and fill in fields or volume it doesn't cover.
• Scraping first, API for verification. Pull broad public data cheaply, then check the few records that matter against the official source.
• One schema. Map every source into the same fields, so downstream code doesn't care where a record came from.

What to watch out for

• Terms. An official API binds you to its developer terms, including deletion duties such as Reddit's. Scraping public pages doesn't create that contract, but other law still applies; see is web scraping legal.
• Personal data. Posts and comments are written by people. Collect only the fields you need and keep them only as long as you need them.
• Layout changes. DIY scrapers break when sites change. With a Store Actor, the maintainer updates the scraper and your API call stays the same.
• Long runs. The synchronous endpoint waits up to 45 seconds and then answers 408 while the run keeps going. Don't call it again; read the run's results instead.
• Runaway costs. Set the Actor's own limit (such as maxItems) and a maximum charge for the run.

FAQ

Is web scraping better than an API?

For reading public data, usually yes: it covers everything a visitor can see, it isn't capped by an API plan, and on Scrape.ly it can cost far less per record, as the X example shows. For writing data or reading private, user-authorised data, use the official API.

Is API vs web scraping a legal question?

Partly. An API comes with terms you accept when you sign up. Scraping public pages without logging in doesn't create that contract, though copyright, database and privacy law still apply. Courts have treated logged-off scraping of public data differently from logged-in access.

What is a scraping API?

A service that runs scrapers for you and returns the results over HTTP. You send a target and options; it handles fetching, rendering, proxies and parsing, and returns JSON. On Scrape.ly, every Store Actor works this way, with the same endpoints and the same token.

Can I scrape a site that has an official API?

Yes: having an API doesn't make public pages off-limits. Many teams scrape because the API lacks fields, caps volume or costs more per record. Read the site's terms if you hold an account there, and respect personal data.

Why do official APIs have rate limits?

To protect the platform's servers and to tie usage to pricing tiers. Reddit's free access, for example, is limited to 100 queries per minute per OAuth client. A scraping API spreads requests over its own proxy pool, but sensible limits still apply.