How to Use AdsPower with Scraping Fish

AdsPower and Scraping Fish solve two different halves of the same problem. AdsPower gives you isolated browser profiles with unique fingerprints so you can log into platforms, manage sessions, and interact with sites as a real user. Scraping Fish gives you a clean REST API with rotating proxies and JavaScript rendering so you can pull structured data at scale without managing infrastructure. Used together, they cover workflows that neither tool handles well alone: session-based scraping that requires login, hybrid pipelines that mix manual browser actions with automated extraction, and multi-account data collection where each profile needs its own clean IP and fingerprint.

This guide walks through why the combination makes sense, how to set it up, and what a working pipeline looks like in practice.

Why Combine AdsPower and Scraping Fish?

Scraping Fish product interface.

Most scraping tools fall into one of two camps. Browser-based tools like AdsPower are excellent at staying undetected and handling logins, but they are not built for high-volume, programmatic extraction. API-based tools like Scraping Fish are fast and cheap, but they work best on public pages that do not require an authenticated session.

The overlap is where real-world data collection gets complicated. You may need to log into a seller dashboard, navigate to a report, and then extract hundreds of rows. Or you may want to monitor prices on a marketplace that shows different data to logged-in users. AdsPower handles the identity layer; Scraping Fish handles the extraction layer. When you connect them, you get a pipeline that can both authenticate and scale.

Problems the Combination Solves

• Session-dependent data: Scraping Fish alone cannot hold a login session across requests. AdsPower can.
• Fingerprint consistency: When you scrape from your own machine repeatedly, sites can flag your browser. AdsPower profiles give each session a stable, unique fingerprint.
• IP reputation: AdsPower supports proxies per profile, and Scraping Fish rotates its own proxy pool. Together you can separate the IP used for login from the IP used for bulk requests.
• Scale without infrastructure: You do not need to run your own headless browser fleet. AdsPower manages the browser side, Scraping Fish manages the request side.

Core Architecture: How the Two Tools Fit Together

Scraping Fish product interface.

Think of AdsPower as the front door and Scraping Fish as the loading dock.

• AdsPower creates a browser environment where you can log in, solve CAPTCHAs manually if needed, and establish a trusted session.
• Scraping Fish makes the repetitive, high-volume requests that would be slow or risky to run through a full browser.

There are three common integration patterns:

1. Manual browser + API extraction: You use AdsPower to log in and inspect the target site, then copy the session cookies or required headers into your Scraping Fish requests.
2. AdsPower Local API + Scraping Fish: You drive AdsPower programmatically through its Local API to open pages, collect session data, then hand off bulk requests to Scraping Fish.
3. Hybrid pipeline: AdsPower handles anything that requires interaction or login, while Scraping Fish handles public endpoints, pagination, and large-scale pulls.

Prerequisites

Scraping Fish product interface.

Before you start, make sure you have:

• An AdsPower account with the desktop application installed on Windows, Mac, or Linux
• A Scraping Fish account with an API key from the dashboard
• Python 3.8+ or Node.js 18+ if you plan to automate the workflow
• A proxy plan for AdsPower if your target site is geo-sensitive

Step 1: Create an AdsPower Browser Profile

Open the AdsPower application and click New Browser. Choose Single Creation and give the profile a descriptive name, such as marketplace-research.

Scroll to the Proxy section and configure a proxy that matches the region of the site you are targeting. AdsPower supports HTTP, HTTPS, SOCKS5, and SSH proxies. If you are unsure which proxy to use, start with a residential proxy from a provider that offers sticky sessions, since rotating IPs mid-session can trigger security checks.

Leave the fingerprint settings at their defaults unless you have a specific reason to customize them. AdsPower generates a unique Canvas, WebGL, user agent, and other parameters for each profile automatically.

Click OK to create the profile, then launch it.

Step 2: Log In and Establish a Trusted Session

Inside the AdsPower profile, navigate to the target site and log in normally. Complete any two-factor authentication or CAPTCHA challenges. This step is important because it builds trust with the platform. A session that starts clean in a stable browser profile is far less likely to be flagged than one that starts from a headless browser or a datacenter IP.

Once you are logged in, spend a few minutes interacting with the site naturally. Browse a few pages, click through menus, and let the session warm up. This reduces the chance that your first automated request looks suspicious.

Step 3: Extract Session Data for Scraping Fish

Scraping Fish product interface.

Scraping Fish accepts custom headers in its API requests. This means you can pass cookies, user agents, and other session tokens from your AdsPower profile into your Scraping Fish calls.

Open the browser developer tools inside your AdsPower profile, go to the Network tab, and copy the Cookie header from a request to the target site. Also copy the User-Agent header.

Here is an example of passing those headers to Scraping Fish:

import requests

API_KEY = "your_scraping_fish_api_key"

headers = {
    "Cookie": "session_token=abc123; preferences=dark_mode",
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36"
}

response = requests.get(
    "https://scraping.narf.ai/api/v1/",
    params={
        "api_key": API_KEY,
        "url": "https://target-site.com/dashboard/data",
        "headers": headers
    }
)

print(response.json())

This approach lets Scraping Fish render the page with JavaScript and return the same data you see in your AdsPower session, but without tying up a full browser instance for every request.

Step 4: Drive AdsPower Through the Local API

If you want to automate the browser side, AdsPower exposes a Local API that works with Selenium and Puppeteer. You can open a profile, navigate to a page, and extract cookies programmatically.

Here is a minimal Python example using Selenium:

import requests
from selenium import webdriver
from selenium.webdriver.chrome.options import Options

# Get the profile's debug port from AdsPower Local API
response = requests.get("http://local.adspower.net:50325/api/v1/browser/start", params={
    "user_id": "your_profile_id"
})
debug_port = response.json()["data"]["debug_port"]

# Connect Selenium to the running AdsPower browser
options = Options()
options.add_experimental_option("debuggerAddress", f"127.0.0.1:{debug_port}")
driver = webdriver.Chrome(options=options)

driver.get("https://target-site.com/dashboard")
cookies = driver.get_cookies()
print(cookies)

You can then format those cookies into a header string and pass them to Scraping Fish for bulk requests.

Practical Example: Monitoring Competitor Prices on a Marketplace

Imagine you run an e-commerce business and want to track competitor prices on a marketplace that requires login to see wholesale pricing.

1. Create an AdsPower profile with a residential proxy in the marketplace's primary region.
2. Log in to your buyer account and warm up the session.
3. Extract the session cookie from the browser's network tab.
4. Write a script that loops through competitor product URLs and sends each one to Scraping Fish with the session cookie attached.
5. Parse the JSON response and store the prices in your database.

At $0.002 per request, monitoring 100 products costs $0.20 per run. Running the same job through a full browser would take significantly longer and use far more resources.

Practical Example: Lead Generation with Login-Gated Directories

Many B2B directories show limited information to logged-out visitors but full contact details to logged-in users.

1. Use AdsPower to log into the directory and confirm what data is visible.
2. Copy the session headers into your Scraping Fish request.
3. Paginate through search results using Scraping Fish's JavaScript rendering to capture full profiles.
4. Rotate the user agent periodically to avoid pattern-based detection.

This pipeline keeps your login session stable in AdsPower while Scraping Fish handles the repetitive page loads.

When to Use Each Tool Separately

Not every workflow needs both tools. Here is a quick decision guide:

Scenario	Best Tool
Scraping public pages at scale	Scraping Fish alone
Managing multiple social or e-commerce accounts	AdsPower alone
Logging into a site and extracting data manually	AdsPower alone
Session-based scraping at scale	AdsPower + Scraping Fish
Hybrid workflows with manual review steps	AdsPower + Scraping Fish

If you are still comparing anti-detect browsers, our AdsPower vs GoLogin comparison breaks down fingerprinting, automation, and pricing differences. For a broader look at the category, see AdsPower vs Kameleo vs Incogniton.

Best Practices for the Combined Workflow

• Keep login and scraping IPs separate: Use a sticky residential proxy in AdsPower for login, and let Scraping Fish rotate its own proxies for bulk requests. This reduces the chance that a flagged scraping IP burns your login session.
• Refresh cookies proactively: Session cookies expire. Build a check into your script that detects a 401 or redirect to a login page, then triggers a fresh cookie extraction from AdsPower.
• Respect rate limits: Even with rotating proxies, hammering a site can get your target IP ranges blocked. Space out requests and cache aggressively.
• Review the legal landscape: Scraping publicly available data is generally lower risk than scraping behind a login. The Web Scraping & Anti-Bot Bypass Guide provides a detailed breakdown of relevant case law, including hiQ v. LinkedIn and Meta v. Bright Data. If you are collecting personal data, GDPR and CCPA obligations may apply.

Common Pitfalls and How to Avoid Them

Pitfall 1: Passing the wrong cookie format Scraping Fish expects headers in standard HTTP format. If you copy cookies from Selenium's get_cookies() output, you need to join them into a single name=value; name2=value2 string before sending.

Pitfall 2: Using a datacenter proxy for login Many platforms flag datacenter IPs immediately. Use a residential or mobile proxy in AdsPower for the login step, even if Scraping Fish handles the bulk requests.

Pitfall 3: Forgetting to warm up the session A brand-new AdsPower profile that immediately fires hundreds of API requests looks suspicious. Spend a few minutes browsing manually before automating.

Pitfall 4: Ignoring JavaScript rendering needs If the target site loads data via XHR or fetch calls, make sure your Scraping Fish request has JavaScript rendering enabled. Otherwise you will get an empty shell page.

Related reading

• ScraperAPI Review 2026: Real Costs, Limits & Verdict - Evidence-based ScraperAPI review covering real credit costs, success rates, strengths, limitations, pricing, and who should actually use it in 2026.
• Top 10 E-commerce Marketplace Seller Platforms for 2026 - Compare the 10 best e-commerce marketplace seller platforms for 2026, from Amazon Seller Central to Walmart Marketplace, with features, fees, and ideal use cases.

Sources and further reading

• Best Dating Sites & Apps in 2026: How to Choose the Right Platform - Explore the best dating sites and apps in 2026. Compare free and paid platforms, learn how to choose safely, and manage multiple dating accounts with AdsPower.
• How to set up proxies with AdsPower Browser? - his help document guides the user to set up the proxy in PROXY.CC and AdsPower Fingerprint Browser. Users need to register, select and configure the proxy on PROXY.CC, then create the browser environment and set up the proxy in AdsPower

FAQ

Can Scraping Fish log into websites on its own?

No. Scraping Fish is a request-based API. It can send custom headers and cookies, but it does not maintain a persistent browser session or handle interactive logins. That is exactly why pairing it with AdsPower is useful: AdsPower handles the login, and Scraping Fish reuses the session data.

Do I need a proxy in AdsPower if Scraping Fish already rotates proxies?

Yes, for the login step. Scraping Fish's proxy rotation applies to the requests it makes, not to your AdsPower browser session. Your AdsPower profile needs its own proxy so the login originates from a clean, consistent IP.

Is it legal to scrape behind a login with this setup?

The legal risk increases when you scrape behind an authentication wall. Public-page scraping has stronger legal precedent in the US, while logged-in scraping can trigger breach-of-contract or computer-misuse claims depending on the jurisdiction and the site's terms. Review the Web Scraping & Anti-Bot Bypass Guide for a thorough breakdown of the relevant cases, and consult a lawyer if you are operating commercially.

How much does this combined workflow cost?

AdsPower offers a free trial and tiered plans based on the number of profiles and team seats. Scraping Fish charges $0.002 per request with no hidden credits, and request packs start at $2. For a small monitoring job of 500 requests per day, the Scraping Fish cost is about $1 per day.

Can I automate the entire pipeline without manual intervention?

Mostly. You can use AdsPower's Local API to launch profiles and extract cookies programmatically, then feed those cookies to Scraping Fish. The main manual step is the initial login and any CAPTCHA or 2FA challenges, which are difficult to fully automate and often better handled by a human.

Conclusion

AdsPower and Scraping Fish are complementary by design. AdsPower gives you a trustworthy browser identity that can log in, hold sessions, and avoid fingerprint-based detection. Scraping Fish gives you a lightweight, affordable way to scale extraction once that session exists. Together they cover the gap that neither tool addresses alone: authenticated, session-aware scraping at volume.

Start with a single AdsPower profile, log into your target site, extract the session headers, and run a small batch of Scraping Fish requests. Once the pipeline works, you can scale it across multiple profiles, proxies, and data sources without rebuilding your infrastructure.