Apify Actor replaces retired Bing Search API for SERP data at $1.05/1K

Microsoft's Bing Search API retirement left a gap for SERP data. This Apify Actor offers a technical solution, scraping public HTML with advanced anti-blocking features and structured output, at a competitive price point.

The Answer Up Front

For founders and teams who relied on the now-retired Bing Search API for rank tracking, brand monitoring, or RAG pipelines, the Apify Actor by DevilScrapes offers a direct, cost-effective replacement. It is particularly suited for those needing structured Bing SERP data without the overhead or cost of enterprise solutions like SerpApi or DataForSEO. Teams requiring high-volume, reliable Bing SERP data will find this Actor a pragmatic choice. Skip it if your use case is low-volume and you prefer to manually scrape or if your budget allows for premium, fully managed API services with broader feature sets. The bottom line is that this Actor provides a robust, technically sound, and affordable path to Bing SERP data where official channels have closed.

Methodology

This v0 review draws on the founder's published claims at https://dev.to/devil_scrapes/bing-search-api-replacement-scrape-serp-results-for-1051k-6lg; independent benchmarks pending. Update cadence: re-tested when claims diverge from observed behavior.

The tool under review is the "Bing Search Scraper" Apify Actor by DevilScrapes, as detailed in the dev.to blog post published on 2026-05-31. This review covers the technical solution described by the founder, including its approach to scraping Bing's public HTML endpoint, handling redirects, and structuring output data. It also covers the claimed cost-efficiency and the specific features designed to bypass anti-scraping measures. What is not covered in this v0 review includes independent performance verification, long-term workflow integration, the Actor's stability under sustained high load, or its behavior across various edge cases of Bing's SERP layouts.

What It Does

Addresses Bing API Retirement

Microsoft officially retired the Bing Web Search API v7 on August 11, 2025, leaving many applications without a programmatic way to access Bing organic search results. The Apify Actor directly addresses this by replicating the functionality of the retired API, providing a structured data output from Bing's public www.bing.com/search HTML endpoint.

Handles Complex Scraping

The Actor is designed to overcome common challenges in web scraping. It manages TLS fingerprint rotation to evade detection, routes requests through residential proxies to maintain anonymity and avoid IP blocks, and correctly handles Bing's pagination via the &first=0,10,20,... parameter. Crucially, it decodes bing.com/ck/a redirect wrappers to extract canonical URLs, ensuring the returned links are clean and directly usable.

Delivers Structured Data

Each organic search result is transformed into a flat, Pydantic-validated row. The output schema includes query, position, title, url, snippet, country, language, and timestamp. The founder claims that every field is verified against a ResultRow model in src/models.py, preventing positional-array guessing or silent null promotion, which is a significant step towards data quality and reliability for scraped data.

What's Interesting / What's Not

The most interesting aspect of this Apify Actor is its direct and technically robust response to a clear market need: the abrupt retirement of the official Bing Search API. Instead of simply pointing to expensive alternatives, the founder has engineered a solution that tackles the complexities of web scraping head-on. The inclusion of TLS fingerprint rotation and residential proxy routing are critical technical details that differentiate this from a naive scraper, making it a viable option for sustained data collection. The commitment to Pydantic-validated output is also noteworthy, as it promises a higher degree of data integrity than many ad-hoc scraping solutions, reducing the downstream effort required for data cleaning and parsing.

What is less interesting, or rather, what is missing from the founder's pitch, is a discussion of the long-term maintenance and adaptability of the scraper. Bing's SERP HTML structure can change, and anti-scraping measures evolve. While the current technical choices are sound, the sustainability of this solution without continuous updates is an open question. There is also no explicit mention of error handling strategies beyond Pydantic validation for malformed rows, nor detailed performance metrics on success rates or latency under varying load conditions. While the cost is attractive, the trade-offs in terms of support and guaranteed uptime, compared to a fully managed API service, are not fully elaborated.

Pricing

The Bing Search Scraper costs $0.001 per row, which translates to approximately $1.05 per 1,000 rows of SERP data. This pricing model is based on usage within the Apify platform. For context, alternative commercial SERP APIs like SerpApi and DataForSEO are reported to cost between $75 and $225 per month for their services.

Pricing snapshot: May 31, 2026

Verdict

This Apify Actor is a strong recommendation for developers and small to medium-sized teams who require programmatic access to Bing SERP data following Microsoft's API retirement. Its technical sophistication in handling anti-scraping measures (TLS fingerprint rotation, residential proxies) and its commitment to structured, validated output data make it a superior alternative to building a DIY scraper from scratch. The per-row pricing model offers significant cost savings compared to traditional API providers, making it particularly attractive for budget-conscious projects. While it requires integration into the Apify ecosystem, the benefits of reliable data extraction at this price point outweigh the minor platform lock-in for most use cases.

What We'd Test Next

For a v2 review, we would establish a test harness to independently verify the scraper's performance and reliability. This would include benchmarking its success rate over time against Bing's evolving anti-scraping measures, measuring latency for various query volumes and proxy locations, and assessing the accuracy of data extraction across different SERP features (e.g., knowledge panels, image carousels, local results). We would also investigate its robustness against unexpected HTML changes and the speed at which the Actor is updated to accommodate such changes. A comparative analysis of data freshness against other commercial SERP providers would also be valuable, as would an exploration of its scalability limits for very high-volume, real-time data needs.

The investor read

The retirement of the official Bing Search API highlights a recurring theme in the API economy: reliance on platform APIs carries inherent risk. This Apify Actor signals a growing market for 'API replacement' solutions, particularly in data-intensive niches like SEO and AI/RAG, where proprietary data sources are critical. The cost-efficiency ($1.05/1K rows) compared to established players like SerpApi and DataForSEO ($75-225/month) indicates a potential for significant market disruption at the long tail, or for bootstrapping startups. An investable play in this space would need to demonstrate not just technical scraping prowess, but also a robust, scalable infrastructure for maintaining scraper resilience against evolving anti-bot measures, and a clear path to monetizing beyond a per-row model, perhaps through value-added data services or broader platform integration. This specific Actor appears to be a deliberate small, bootstrapped play, leveraging the Apify platform for distribution and infrastructure.